System Dynamics Laboratory

Consulting Services

The SDLab provides consulting services to the industry in the following areas:

(Under construction )

RESEARCH TOPICS

• Uncertainty Quantification (UQ) and Propagation in Engineering and Applied Sciences
• Bayesian Learning of Physics-based Models of Systems; Machine Learning; Bayesian Optimal Experimental Design
• Smart Cities: Data-Driven Modeling, UQ, Health Monitoring, Diagnosis, Risk, Reliability, Resilience, Maintenance of City Infrastructure Components
• System Identification, Inverse Methods in Mechanics, Finite Element Model Validation & Verification
• Probabilistic Structural Dynamics, Computational Stochastic Dynamics
• Structural Health Monitoring (SHM) using Physics-based Models, Damage Identification
• Structural Reliability and Risk, Remaining Lifetime Estimation, Condition-based Maintenance Decision-Making
• Optimization under Stochastic Loads & System Uncertainty, Robust & Reliability-Based Design Optimization
• Applications focus on Civil, Earthquake, Mechanical and Vehicle Engineering;
• Applications of Bayesian UQ in Other Disciplines (through collaboration with colleagues from these disciplines): Computational Fluid Dynamics; Bio-mechanics; Molecular Dynamics; Nanotechnology; Dynamical Processes on Networks (Cardiovascular arterial, Biological and Epidemiology networks); Wildfire Spreading and Management.

COLLABORATION WITH EUROPEAN/INTERNATIONAL RESEARCH GROUPS

• AGH University of Science and Technology (Poland), Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, Prof Powel Packo, On optimal sensor placement for acoustic emission source localization in isotropic/anisotropic plates; since 2021
• Hong Kong University of Science and Technology, Prof Ilias Dimitrakopoulos, On health monitoring of bridges using sensing on traversing vehicles; since Jan 2021.
• Harvard University, Prof Petros Koumoutsakos; Wildfire spreading and management & Bayesian learning in engineering science; since 2022
• Hong Kong University of Science and Technology, Prof Lambros Katafygiotis. On hierarchical Bayesian modeling techniques for model calibration & Sequential Bayesian filtering for input-state-parameter estimation & Fatigue monitoring of wind turbines; since 2017.
• University of Macau, Professors W.-J. Yan and K-.V. Yuen, On uncertainty quantification in structural dynamics and wave propagation problems; since 2019.
• ETH Zurich, Prof Petros Koumoutsakos. On uncertainty quantification in molecular dynamics, nanotechnology, CFD, biomechanics, epidemiology; 2011-2021.
• Harvard University, Prof Petros Koumoutsakos; Wildfire spreading and management; since 2022
• Brown University, Prof Tasos Matzavinos. On uncertainty management for identifying arterial wall mechanical properties and detecting pathologies in blood vessel in cardiovascular arterial networks.
• UCSD, Prof J. P. Conte. on Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures.
• ETH-Zurich, Prof Eleni Chatzi. On input-state-parameter filtering techniques for response reconstruction and fatigue assessment using output-only vibration measurements, since 2014.
• Tufts University (USA), Prof Babak Moaveni. On Bayesian hierarchical modeling and optimal sensor placement with application to structural health monitoring, since 2014.
• Bauhaus Universität Weimar, Prof Volkmar Zabel. On Bayesian uncertainty quantification for updating systematic damage description models.
• Santa Maria University (Chile), Prof Hector Jensen. On efficient model reduction techniques and updating reliability using vibration measurements, since 2012.
• Technische Universität München, Papaioannou, I., Straub, D. On sequential importance sampling for structural reliability.
• U.Leuven, Prof Geert Lombaert. On Bayesian model updating, input-state estimation, and optimal sensor placement in structural dynamics, since 2010.
• University of Siegen, Prof C.-P. Fritzen. On fatigue damage accumulation using output-only vibration measurements.
• Aristotle University of Thessaloniki, Prof Sotirios Natsiavas. On fault detection and optimal design of vehicle suspensions under uncertainty, since 2000.
• University of Western Macedonia (Greece), Prof Dimitrios Giagkopoulos, On damage identification using machine learning techniques and validation from experiments on laboratory models, since 2011.
• Polish Academy of Sciences, Institute of Fundamental Technological Research, Prof K. Sobczyk. On stochastic fatigue.

RESEARCH GRANTS

(PI: Principal Investigator, DSC: Deputy Scientific Coordinator, Co-I: Co-Investigator, I: Contributing as Investigator.)

1. PI: Ενόργανη Παρακολούθηση και Εκτίμηση Δυναμικών Χαρακτηριστικών Δύο Κτηρίων της ΑΔΜΗΕ (Monitoring and Assessment of Dynamic Characteristics of Two ADMHE Buildings), OSMOS HELLAS AE, Oct. 7, 2025 – Nov. 15, 2025.
2. PI: Ενόργανη Παρακολούθηση και Εκτίμηση Δυναμικών Χαρακτηριστικών της Γέφυρας Σερβίων (Monitoring and Assessment of Dynamic Characteristics of Servia Bridge), Δ. ΤΟΛΙΚΑΣ ΜΕΠΕ (D. TOLIKAS MEPE), Oct. 2025 – Sept. 2025.
3. PI: Decentralized infrastructure Asset MONitoring and Condition assessment (DIAMOND). HORIZON-MSCA-2024-DN-01-01 (MSCA Doctoral Networks 2024), Jan. 2026 – Dec. 2029.
4. PI: Health Monitoring of Smart Bridges, OSMOS Hellas SA, Sept. 2024- 2026.
5. PI: Digital Twins for Condition Monitoring of Complex Engineering Networks, Hellenic Foundation for Research & Innovation (Program: Scholarship for PhD Candidates), April 2022-March 2025.
6. Co-I: Traversing Vehicles as Health Diagnostic Tools for Bridges. Research Grants Council Hong Kong (Project #: RGC 16212522), 2022–2025. (PI: I. Dimitrakopoulos, Hong Kong Univ of Science and Technology – HKUST).
7. PI: Dynamic virtualisation: modelling performance of engineering structures (DyVirt). European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Innovative Training Networks, Febr. 2018 -Jan. 2023 (48 months + 12 months extension).
8. Co-I: Multi-level Probabilistic Framework for Real-time Monitoring and Sensor Network Design. Research Grants Council Hong Kong (Project #: 16211019), 2020–2022. (PI: L. Katafygiotis, HKUST).
9. Co-I: Novel Bayesian Methodology for Data-Drive Uncertainty Quantification and Propagation in Structural Dynamics. Research Grants Council Hong Kong (16212918), 2019–2021. (PI: L. Katafygiotis, HKUST).
10. DSC: Structural Health Monitoring and Damage Detection of Bridges based on Vibration Measurements – ΠροΓεΤαΣ, Human Resources Development, Education and Lifelong Learning (EDBM), 2019-2021.
11. PI: Bayesian Uncertainty Quantification for Updating Systematic Damage Description Models. IKY under program IKYDA – Promotion of the Exchange and Scientific Collaboration between Greece and Germany, 2015 – Dec. 2017.
12. PI: Uncertainty Quantification and Propagation for Nanoscale Fluid Mechanics, Swiss National Science Foundation (International Short Visit, Febr 25 – June 25, 2013.
13. PI: Uncertainty Quantification and Propagation in Complex Structural Dynamics Simulations using Monitoring Data (UQ-dynamics). Greek General Secretariat of Research and Technology (Program Excellence), Sept. 2012 – Oct. 2015.
14. PI: Robust Aerostructural Optimization based on New Higher-Order Adjoint Methods. Greek General Secretariat of Research and Technology (Research Project to Support Post-Doctoral Researchers), June 2012 – May 2015.
15. PI: Uncertainty Quantification, Identification and Propagation in Structural Response and Reliability Simulations using Measured Data. Greek Ministry of Education (Program Hrakleitos), Febr. 2011 – Febr. 2014.
16. PI: Evaluation of Repair of Damaged Buildings due to Earthquakes using Vibration Measurements and Software. Institute of Mechanics, Materials and Geomechanics – IMMG through Innovation Coupons provided by Greek General Secretariat of Research and Development, Sept. 2010 – Dec. 2012.
17. PI: Structural Health Monitoring, Egnatia Odos S.A., April 2009 – Dec. 2015.
18. PI: Modal Identification and Model Updating of Egnatia Odos Bridges and Upgrading of GUI-based Modal Identification and Model Updating Software. Egnatia Odos SA, Dec 2007 – Dec. 2010.
19. PI: Advanced Methods for Structural Health Monitoring. IKY under program IKYDA – Promotion of the Exchange and Scientific Collaboration between Greece and Germany, 2007 – Dec. 2008.
20. Co-I: Development of Bayesian Structural Health Monitoring Methodology and its Enhancement by Optimal Sensor Placement and by Optimal Model Class Selection. Research Grants Council (Hong Kong), 2006 – 2008 (PI: Paul Lam, City University of Hong Kong).
21. PI: Dynamic Response and Design Optimization of Vehicle Structures. Greek General Secretariat of Research and Technology (PENED 2003). July 2005 – June 2009. (With AUTH and Sarakaki AEBE – AE.).
22. PI: Development of a Structural Identification and Damage Detection Methodology. Greek Ministry of Education (Program Hrakleitos), Nov. 2002 – Nov. 2005.
23. PI: Earthquake Protection of Bridges – ΑΣΠροΓε. Greek General Secretariat of Research and Development (EPAN2003). 42 months (Oct. 2003 – Sept. 2006). Consortium with AUTH, ITSAK, Egnatia Odos A.E. and 10 more Universities and construction companies.
24. Co-I: Development of a Monitoring System for Assessing Structural Integrity of Bridges under Earthquake Loads. Greek Earthquake Planning and Protection Organization, 24 months (Febr. 2001 – Jan 2003).
25. Co-I: Development of Structural Health Monitoring and Diagnosis System for Important Bridges Owned by Egnatia Odos S.A. Egnatia Odos S.A., 24 months (July 2001 – June 2003).
26. Co-I: Leakage Diagnosis and Prevention in Water Pipe Networks. Greek General Secretariat of Research and Development (PABET 2001). 24 months (Sept. 2001 – Aug. 2003).
27. Co-I: Development of Identification and Health Monitoring System for Structures of Crucial Importance. Greek General Secretariat of Research and Development (PENED 1999), Jan. 2000 – Aug. 2001. With Univ of Patras & AUTH.

Before Joining the University of Thessaly

28. I: Methodology for structural model updating and damage detection using vibration monitoring. The Hong Kong Research Grants Council, Οκτ. 1997 – Sept. 2000.
29. I: Reliability methods for performance evaluation. NSF – Pacific Earthquake Engineering Research Center, 1998 – March 1999.
30. PI: A probability–based description of strong motion accelerograms for improved seismic risk studies. National Science Foundation – Research Initiation Award, 1993 – 1997 (Grants BCS-9309149 and CMS-9796135).
31. I: Development of modal updating tools for precision space structures (part of the Space Interferometry Program). NASA – Jet Propulsion Laboratory. 1996 – Jul. 1998.
32. I: A new damage detection methodology for civil structures using vibration monitoring. The Hong Kong Research Grants Council, Sept. 1995 – Aug. 1996.
33. PI: Response characteristics of uncertain structures subjected to earthquake loads. Texas Engineering Experiment Station, Sept 1992 – Aug. 1993.

Funded Educational Programs (UTH)

34. I: Restructuring of Undergraduate Program, Department of Mechanical and Industrial Engineering, University of Thessaly. Ministry of Education (Program EPEAEK II-EKT), Sept 2001 – Aug 2003.
35. PI: Restructuring of Postgraduate Program, Department of Mechanical and Industrial Engineering, University of Thessaly. Ministry of Education (Program EPEAEK II-EKT), Sept 2001 – Aug 2003.
36. PI: Laboratory Equipment for Postgraduate Program, Department of Mechanical and Industrial Engineering, University of Thessaly. Ministry of Education (Program EPEAEK II-ETPA), Sept 2001 – Aug 2003.

Commercial Software

• COMSOL Multiphysics
• Structural Dynamics Toolbox

GUI Software Developed by SDLab Personnel

• MI-Tool: GUI modal identification software based on either frequency response functions, or earthquake-induced vibrations, or operational vibrations (Manual)
• FEMUS: GUI finite element model validation and updating software based on vibration data (Manual)

Hardware

• Small Shaking Table
  • 1 113 ELECTRO-SEIS Shaker, long stroke electrodyamic shaker
  • 1 124-EP Power Amplifier
  • magnetostrictive velocity/displacement transducer
  • force transducer
  • small centrifugal shaker
• Data Acquisition
  • 1 NI PCI-6030E, 16 Bit, 16-Analog-Input Multifunction DAQ
  • 1 NI PCI-6289, 18 Bit, 32 Analog Inputs
  • 1 NI SCXI-1000, 4-Slot AC Powered Chassis
  • 1 NI SCXI-1143, 8-Channel Butterworth Lowpass Filter
  • 2 NI SCXI-1140, 8-Channel Simultaneously Sampling Differential Amplifier Module
  • 1 NI SCXI-1124, 6-Channel Isolated D/A Converter Module
  • 2 NI BNC-2110, Shielded Connector Block
• Sensors for Experimental Dynamics
  • 6   Piezobeam Accelerometers
  • 4   Integrated K-BEAM Accelerometers
  • 4   K-BEAM Interface
  • 1   Tension/Compression force preloaded senor
  • 1   Impulse Force Hammers
  • 2   Pressure Sensors

• Infrastructure Wireless Health Monitoring
  • 9 wireless IMOTE2 programmable sensor boards with 3-axial accelerometer, temperature, humidity and light sensors s well as 4-channel 0-3V ADC with external inputs

• Monitoring of Earthquake/Ambient Vibrations
  • 5 triaxial and 3 uniaxial SYSCOM acceleration sensors units with common triggering using cables or GPS.

SUBMITTED TO JOURNALS (UNDER REVIEW)

1. Yan W-J, Mei L-F, Mo J, Papadimitriou C, Yuen K-V, Beer M (2024). Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems, Mechanical Systems and Signal Processing, Submitted (Aug. 2024). https://doi.org/10.48550/arXiv.2408.08629
2. Yan W-J, Mei L-F, Yin Y-W, Mo J, Papadimitriou C, Yuen K-V, Beer M (2025). Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends, 22223, arXiv. https://arxiv.org/abs/2505.22223
3. Amoudruz Lucas Daniel, Litvinov Sergey, Papadimitriou C, Koumoutsakos P. (2025). Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss. Computer Methods in Applied Mechanics and Engineering, COMPHY-D-25-00947 – Submitted (October 2025). https://doi.org/10.48550/arXiv.2510.15664

JOURNAL PUBLICATIONS

1. Hao T-T, Yan W-J, Niu M-K, Yuen K-V, Papadimitriou C (2026). A Model-Free Bridge Weigh-in-Motion Scheme for Simultaneously Identifying Vehicle Axle Load and Spacing with Transmissibility-Like Index, Journal of Sound and Vibration, Accepted (Jan 3, 2026).
2. Ping M,Yan W-J, Papadimitriou C (2026). Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors. Reliability Engineering and System Safety, 268, 111944,
   https://doi.org/10.1016/j.ress.2025.111944
3. Jia X, Hou W, Cao S-Z, Yan W-J, Papadimitriou C (2025). Analytical Hierarchical Bayesian Modeling Framework for Model Updating and Uncertainty Propagation utilizing Frequency Response Function Data. Mechanical Systems and Signal Processing, 447, 118341. https://doi.org/10.1016/j.cma.2025.118341.
4. Raorane S, Papadimitriou C, Packo P (2025). Acoustic emission source localization in arbitrary anisotropic plates: equation error and Bayesian inference approaches, Mechanical Systems and Signal Processing. 236, 112960. https://doi.org/10.1016/j.ymssp.2025.112960.
5. Zhang L-L,Yan W-J, Yuen K-V, Papadimitriou C, Ren W-X (2025). Bayesian Emulation for Forecasting Modal Frequencies under Multivariate Environmental Variability with Data Association Metric and Incremental Updating, Journal of Sound and Vibrations, 614, 119206. https://doi.org/10.1016/j.jsv.2025.119206
6. Jiang Y, Zhang X, Beer M, Faes MJR, Papadimitriou C, Zhou H (2025). First excursion probability of dynamical systems: A review on computational methods, Mechanical Systems and Signal Processing. 232, 112751. https://doi.org/10.1016/j.ymssp.2025.112751.
7. Jia X, Hou W, Papadimitriou C (2025). Hierarchical Bayesian Modeling for Uncertainty Quantification and Reliability Updating using Data. Journal of Reliability Science and Engineering, 1(2), 025002. https://doi.org/1088/3050-2454/adc580
8. Karyofyllas G, Giagopoulos D, Jia X, Papadimitriou C (2025). A digital twin-driven machine learning framework for structural condition monitoring using multi-datasets. Structural Health Monitoring. 0(0). https://doi.org/10.1177/14759217251324110
9. Ping M, Yan W-J, Jia X, Papadimitriou C, Yuen K-V (2025). Learning non-stationary model of prediction errors with hierarchical Bayesian modeling. Reliability Engineering & System Safety. 111012. https://doi.org/10.1016/j.ress.2025.111012
10. Jia X, Papadimitriou C (2025). Data features-based Bayesian learning for time-domain model updating and robust predictions in structural dynamics, Mechanical Systems and Signal Processing, 224, 112197, https://doi.org/10.1016/j.ymssp.2024.112197.
11. Vogiatzoglou K, Papadimitriou C, Bontozoglou V, Ampountolas K (2025). Physics-informed neural networks for parameter learning of wildfire spreading, Computer Methods in Applied Mechanics and Engineering, 434, 117545, https://doi.org/10.1016/j.cma.2024.117545.
12. Vogiatzoglou K, Papadimitriou C, Ampountolas K, Chatzimanolakis M, Koumoutsakos P, Bontozoglou V (2024). An interpretable wildfire spreading model for real-time predictions, Journal of Computational Science, 83, 102435. https://doi.org/10.1016/j.jocs.2024.102435
13. Siu HM, Filippitzis F, Stoura CD, Papadimitriou C, Dimitrakopoulos EG (2024). Utilizing on-board sensing of passing train vehicles for virtual sensing of bridges, Engineering Structures, 319, 118808. https://doi.org/10.1016/j.engstruct.2024.118808
14. Yan W-J, Zhan J-Z, Yuen K-V, Ren W-X, Papadimitriou C (2024). PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model, Engineering Structures, 318, 118578. https://doi.org/10.1016/j.engstruct.2024.118578
15. Kamariotis A, Chatzi E, Straub D, Dervilis N, Goebel K, Hughes AJ, Lombaert G, Papadimitriou C, Papakonstantinou KG, Pozzi M, Todd M, Worden K (2024). Monitoring-supported value generation for managing structures and infrastructure systems. Data-Centric Engineering. 5:e27. https://doi.org/10.1017/dce.2024.24
16. Roarone S, Ercan T, Papadimitriou C, Packo P, Uhl T (2024). Bayesian optimal sensor placement for acoustic emission source localization with clusters of sensors in isotropic plates, Mechanical Systems and Signal Processing, 214, 111342. https://doi.org/10.1016/j.ymssp.2024.111342
17. Teymouri D, Sedehi S, Song M, Moaveni B, Papadimitriou C, Katafygiotis LS (2024), Hierarchical Bayesian finite element model updating: optimal weighting of modal residuals with application to FINO3 offshore platform, Mechanical Systems and Signal Processing, 211, 111150. https://doi.org/10.1016/j.ymssp.2024.111150
18. Sedehi O, Kosikova AM, Papadimitriou C, Katafygiotis LS (2024). On the integration of Physics-Based Machine Learning with hierarchical Bayesian modeling techniques, Mechanical Systems and Signal Processing, 208, 111021. https://doi.org/10.1016/j.ymssp.2023.111021
19. Ping M., Jia X,Papadimitriou C, Han X, Jiang C, Yan W-J (2024). A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes, Mechanical Systems and Signal Processing, 208, 110968. https://doi.org/10.1016/j.ymssp.2023.110968
20. Karakostas C, Quaranta G, Chatzi E, Zülfikar, AC, Çetindemir O, De Roeck G, Döhler M, Limongelli MP, Lombaert G, Apaydın NM, Pakrashi V, Papadimitriou C, Yeşilyurt A. (2024) Seismic assessment of bridges through structural health monitoring – A state-of-the-art review, Bulletin of Earthquake Engineering, 22, 1309–1357. https://doi.org/10.1007/s10518-023-01819-3
21. Kosikova AM, Sedehi O, Papadimitriou C, Katafygiotis L. (2023). Bayesian structural identification using Gaussian process discrepancy models, Computer Methods in Applied Mechanics and Engineering, 417, Part A, 116357. https://doi.org/10.1016/j.cma.2023.116357
22. Bagirgan B, Mehrjoo A, Moaveni B, Papadimitriou C, Khan U, Rife J. (2023). Iterative Optimal Sensor Placement for Adaptive Structural Identification Using Mobile Sensors: Numerical Application to a Footbridge, Mechanical Systems and Signal Processing, 200, 110556. https://doi.org/10.1016/j.ymssp.2023.110556
23. Ercan T, Papadimitriou C (2023). Bayesian optimal sensor placement for parameter estimation under modeling and input uncertainties, Journal of Sound and Vibration, 563, 117844. https://doi.org/10.1016/j.jsv.2023.117844, https://doi.org/10.5281/zenodo.7265496
24. Teymouri D, Sedehi O, Katafygiotis LS, Papadimitriou C (2023). Data-Driven Reconstruction of Dynamical Forces and Responses through Bayesian Expectation-Maximization and Modal Reduction Methods, Journal of Engineering Mechanics, 149(6), 04023030. https://doi.org/10.1061/JENMDT.EMENG-7023
25. Jia X, Yan W-J, Papadimitriou C, Yuen K-V (2023). An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme, Mechanical Systems and Signal Processing, 189, 2023, 110060. https://doi.org/10.1016/j.ymssp.2022.110060
26. Ercan T, Sedehi O, Katafygiotis LS, Papadimitriou C (2023). Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering, Mechanical Systems and Signal Processing, 188, 110031. https://doi.org/10.1016/j.ymssp.2022.110031
27. Teymouri D, Sedehi O, Katafygiotis LS, Papadimitriou C (2023). Input-state-parameter-noise identification and virtual sensing in dynamical systems: A Bayesian expectation-maximization (BEM) perspective. Mechanical Systems and Signal Processing 185, 109758. https://doi.org/10.1016/j.ymssp.2022.109758.
28. Ping M, Jia X, Papadimitriou C, Han X, Jiang C, Yan W-J (2023). A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification, Mechanical Systems and Signal Processing, 187, 109933. https://doi.org/10.1016/j.ymssp.2022.109933
29. Markogiannaki O, Arailopoulos A, Giagopoulos D, Papadimitriou C (2023). Vibration-based Damage Localization and Quantification Framework of Large-Scale Truss Structures, Structural Health Monitoring, 22(2), 1376-1398. https://doi.org/10.1177/14759217221100443
30. Cantero-Chinchilla S, Papadimitriou C, Chianchio J, Chianchio M, Koumoutsakos P, Fabro AT, Chronopoulos D (2022). Robust optimal sensor configuration using the value of information, Structural Control and Health Monitoring, 29 (12), e3143. https://doi.org/10.1002/stc.3143
31. Gal Y, Koumoutsakos P, Lanusse F, Louppe G, Papadimitriou C (2022). Bayesian uncertainty quantification for machine-learned models in physics, Nature Reviews Physics 4, 573–577. https://doi.org/10.1038/s42254-022-00498-4
32. Yan W-J, Hao T-T, Yuen K-V, Papadimitriou C (2022). Monitoring Gross Vehicle Weight with a Probabilistic and Influence Line-Free Bridge Weight-In-Motion Scheme Based on a Transmissibility-like Index, Mechanical Systems and Signal Processing. 177, 109133. https://doi.org/10.1016/j.ymssp.2022.109133
33. Flores Terrazas V, Sedehi O, Papadimitriou C, Katafygiotis LS (2022). A Bayesian framework for calibration of multiaxial fatigue curves, International Journal of Fatigue, 163, 107105. https://doi.org/10.1016/j.ijfatigue.2022.107105
34. Jia X, Papadimitriou C (2022). Hierarchical Bayesian learning framework for multi-level modeling using multi-level data. Mechanical Systems and Signal Processing, 179, 109179. https://doi.org/10.1016/j.ymssp.2022.109179.
35. Ping M, Jia X, Papadimitriou C, Han X, Jiang C (2022). Statistics-based Bayesian modeling framework for uncertainty quantification and propagation. Mechanical Systems and Signal Processing, 174, 109102. https://doi.org/10.1016/j.ymssp.2022.109102
36. Cantero-Chinchilla S, Fabro AT, Meng H, Yan W-J, Papadimitriou C, Chronopoulos C (2022). Robust optimised design of 3D printed elastic metastructures: A trade-off between complexity and vibration attenuation. Journal of Sound and Vibration, 529, 116896. https://doi.org/10.1016/j.jsv.2022.116896
37. Sedehi O, Papadimitriou C, Katafygiotis LS (2022). Hierarchical Bayesian uncertainty quantification of Finite Element models using modal statistical information, Mechanical Systems and Signal Processing, 179, 109296. https://doi.org/10.1016/j.ymssp.2022.109296
38. Jia X, Sedehi O, Papadimitriou C, Katafygiotis LS, Moaveni B (2022). Nonlinear model updating through a hierarchical Bayesian modeling framework, Computer Methods in Applied Mechanics and Engineering, 392, 114646. https://doi.org/10.1016/j.cma.2022.114646.
39. Jia X, Sedehi O, Papadimitriou C, Katafygiotis LS, Moaveni B (2022). Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features, Syst. Signal Process.170 (2022) 108784. https://doi.org/10.1016/j.ymssp.2021.108784
40. Mehrjoo A, Song M, Moaveni B, Papadimitriou C, Hines E. (2022). Optimal Sensor Placement for Parameter Estimation and Virtual Sensing of Strains on an Offshore Wind Turbine Considering Sensor Installation Cost, Mechanical Systems and Signal Processing, 169, 108787. https://doi.org/10.1016/j.ymssp.2021.108787
41. Teymouri D, Sedehi O, Katafygiotis LS, Papadimitriou C (2022). A Bayesian Expectation-Maximization (BEM) methodology for joint input-state estimation and virtual sensing of structures, Mechanical Systems and Signal Processing, 169, 108602. https://doi.org/10.1016/j.ymssp.2021.108602
42. Flores Terrazas V, Sedehi O, Papadimitriou C, Katafygiotis LS (2022). A streamline approach to multiaxial fatigue monitoring using virtual sensing. Structural Control and Health Monitoring, e2863. https://doi.org/10.1002/stc.2863
43. Nabiyan M-S, Ebrahimian H, Moaveni B, Papadimitriou C (2021). Adaptive Bayesian inference framework for joint model and noise identification. ASCE Journal of Engineering Mechanics, 148 (3), 2022. https://doi.org/10.1061/(ASCE)EM.1943-7889.0002084
44. Ercan T, Papadimitriou C (2021). Optimal Sensor Placement for Reliable Virtual Sensing using Modal Expansion and Information Theory, Sensors, 21 (10), 3400. https://doi.org/10.3390/s21103400
45. Argyris C, Papadimitriou C, Samaey G, Lombaert G (2021). A unified sampling-based framework for optimal sensor placement considering parameter and prediction inference, Mechanical Systems and Signal Processing, 161, 107950. https://doi.org/10.1016/j.ymssp.2021.107950
46. Tatsis KE, Dertimanis VK, Papadimitriou C, Lourens E, Chatzi EN (2021). A general substructure-based framework for input-state estimation using limited output measurements, Mechanical Systems and Signal Processing, 150, 107223. https://doi.org/10.1016/j.ymssp.2020.107223
47. Economides A, Arampatzis G, Alexeev D, Litvinov S, Amoudruz L, Kulakova L, Papadimitriou C, Koumoutsakos P (2021). Hierarchical Bayesian uncertainty quantification for a model of the red blood cell, Physical Review Applied, 15, 034062 https://link.aps.org/doi/10.1103/PhysRevApplied.15.034062 0
48. Larson K, Arampatzis G, Bowman C, Chen Z, Hadjidoukas P, Papadimitriou C, Koumoutsakos P, Matzavinos A. (2021) Data-driven prediction and origin identification of epidemics in population networks. Royal Society Open Science 8(1), 200531. https://doi.org/10.1098/rsos.200531
49. Chatzimanolakis M, Weber P, Arampatzis G, Wälchli D, Kičić I, Karnakov K, Papadimitriou C., Koumoutsakos P (2020). Optimal Allocation of Limited Test Resources for the Quantification of COVID-19 Infections, Swiss Medical Weekly, 150, w20445. https://doi.org/10.4414/smw.2020.20445
50. Song M, Behmanesh I, Moaveni B, Papadimitriou C (2020). Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview. Sensors, 20 (14), 3874. https://doi.org/10.3390/s20143874
51. Karnakov P, Arampatzis G, Kičić I, Wermelinger F, Walchli D, Papadimitriou C, Koumoutsakos P (2020). Data driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries, Swiss Medical Weekly, 150, w20313. https://doi.org/10.4414/smw.2020.20313
52. Argyris C, Papadimitriou C, Panetsos P, Tsopelas P (2020). Bayesian model-updating using features of modal data: Application to Metsovo bridge, Journal of Sensor and Actuator Networks, 9(2), 27 pages. https://doi.org/10.3390/jsan9020027
53. Song M, Astroza R, Ebrahimian H, Moaveni B, Papadimitriou C (2020). Adaptive Kalman Filters for Nonlinear Finite Element Model Updating, Mechanical Systems and Signal Processing, 143, 106837. https://doi.org/10.1016/j.ymssp.2020.106837
54. Yan W-J, Chronopoulos D, Cantero-Chinchilla S, Yuen K-V, Papadimitriou C (2020). A Fast Bayesian Inference Scheme for Identification of Local Structural Properties of Layered Composites based on Wave and Finite Element-assisted Metamodeling Strategy and Ultrasound Measurements. Mechanical Systems and Signal Processing, 143, 106802, https://doi.org/10.1016/j.ymssp.2020.106802.
55. Weber P, Arampatzis G, Novati G, Verma S, Papadimitriou C, Koumoutsakos P (2020). Optimal flow sensing for schooling swimmers, Biomimetics, 5(1), 10 pages. https://doi.org/10.3390/biomimetics5010010.
56. Sedehi O, Katafygiotis L, Papadimitriou C. (2020). Hierarchical Bayesian operational modal analysis: Theory and Computations. Mechanical Systems and Signal Processing, 140, 106663. https://doi.org/10.1016/j.ymssp.2020.106663
57. Sedehi O, Papadimitriou C, Katafygiotis LS (2020). Data-Driven Uncertainty Quantification and Propagation in Structural Dynamics through a Hierarchical Bayesian Framework. Probabilistic Engineering Mechanics, 60, 103047. https://doi.org/10.1016/j.probengmech.2020.103047
58. Yan W-J, Chronopoulos D, Papadimitriou C, Cantero-Chinchilla S, Zhu G-S (2020). Bayesian Inference for Damage Identification based on Analytical Probabilistic Model of Scattering Coefficient Estimators and Ultrafast Wave Scattering Simulations Scheme. Journal of Sound and Vibration, 468, 2020, 115083. https://doi.org/10.1016/j.jsv.2019.115083
59. Yan W-J, Papadimitriou C, Katafygiotis LS, Chronopoulos D (2020). An Analytical Perspective on Bayesian Uncertainty Quantification and Propagation in Mode Shape Assembly, Mechanical Systems and Signal Processing, 135, 106376. https://doi.org/10.1016/j.ymssp.2019.106376
60. Verna S, Papadimitriou C, Lüthen N, Arampatzis G, Koumoutsakos P (2020). Optimal sensor placement for artificial swimmers, Journal of Fluid Mechanics, 884, A24. https://doi.org/10.1017/jfm.2019.940
61. Larson K, Bowman C, Papadimitriou C, Koumoutsakos P, Matzavinos A (2019). Detection of arterial wall abnormalities via Bayesian model selection. Royal Society Open Science, 6(10):182229. https://doi.org/10.1098/rsos.182229
62. Sedehi O, Papadimitriou C, Teymouri D, Katafygiotis LS (2019). Sequential Bayesian Estimation of State and Input in Dynamical Systems using Output-only Measurements. Mechanical Systems and Signal Processing, 131, 659-688. https://doi.org/10.1016/j.ymssp.2019.06.007
63. Dertimanis VK, Chatzi EN, Eftekhar Azam E, Papadimitriou C (2019). Input–state–parameter estimation of structural systems from limited output information. Mechanical Systems and Signal Processing, 126, 711-746. https://doi.org/10.1016/j.ymssp.2019.02.040
64. Song M, Behmanesh I, Moaveni B, Papadimitriou C (2019). Modeling Error Estimation and Response Prediction of a 10-Story Building Model through a Hierarchical Bayesian Model Updating Framework. Frontiers in Built Environment (Section Structural Sensing). 5, 7 pages. https://doi.org/10.3389/fbuil.2019.00007
65. Song M, Moaveni B, Papadimitriou C, Stavridis A (2019). Accounting for amplitude of excitation in model updating through a hierarchical Bayesian approach: Application to a two-story reinforced concrete building. Mechanical Systems and Signal Processing, 123, 68-83. https://doi.org/10.1016/j.ymssp.2018.12.049.
66. Sedehi O, Papadimitriou C, Katafygiotis LS (2019). Probabilistic hierarchical Bayesian framework for time-domain model updating and robust prediction. Mechanical Systems and Signal Processing, 123, 648-673. https://doi.org/10.1016/j.ymssp.2018.09.041
67. Giagopoulos D, Arailopoulos A, Dertimanis V, Papadimitriou C, Chatzi E, Grompanopoulos K (2019). Structural Health Monitoring and Fatigue Damage Estimation using Vibration Measurements and Finite Element Model Updating. Structural Health Monitoring, 18(4), 1189-1206. https://doi.org/10.1177/1475921718790188
68. Faraonis P, Sextos A, Papadimitriou C, Chatzi E, Panetsos P (2018). Implications of subsoil-foundation modelling on the dynamic characteristics of a monitored bridge, Structure and Infrastructure Engineering, 15(2), 180-192. https://doi.org/10.1080/15732479.2018.1503689
69. Argyris C, Chowdhury S, Zabel V, Papadimitriou C (2018). Bayesian optimal sensor placement for crack identification in structures using strain measurements. Structural Control and Health Monitoring, 25(5), e2137. https://doi.org/10.1002/stc.2137
70. Ebrahimian H, Astroza R, Conte JP, Papadimitriou C (2018). Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures. Structural Control and Health Monitoring, 25 (4), e2128. https://doi.org/10.1002/stc.2128
71. Wu S, Angelikopoulos P, Papadimitriou C, Koumoutsakos P (2018). Bayesian Annealed Sequential Importance Sampling (BASIS): an unbiased version of Transitional Markov Chain Monte Carlo. ASCE-ASME J. Risk and Uncert. in Engrg. Sys., Part B: Mech. Engrg., 4 (1), 011008 (13 pages). https://doi.org/10.1115/1.4037450Received 2018 Editor’s Award for the best paper.
72. Kulakova L, Arampatzis G, Angelikopoulos P, Chatzidoukas P, Papadimitriou C, Koumoutsakos P (2017). Data-driven inference for the repulsive exponent of the Lennard-Jones potential in molecular dynamics simulations. Scientific Reports, 7 (1), 1-10, 16576. https://doi.org/10.1038/s41598-017-16314-4
73. Argyris C, Papadimitriou C, Panetsos P (2017). Bayesian Optimal Sensor Placement for Modal Identification of Civil Infrastructures. Journal of Smart Cities, 2(2), 69-86. https://doi.org/10.26789/JSC.2016.02.001
74. Zhang J, Maes K, De Roeck G, Reynders E, Papadimitriou C, Lombaert G (2017). Optimal sensor placement for multi-setup modal analysis of repetitive Journal of Sound and Vibration, 401, 214-232. https://doi.org/10.1016/j.jsv.2017.04.041
75. Behmanesh I, Moaveni B, Papadimitriou C (2017). Probabilistic Damage Identification of a Designed 9-Story Building Using Modal Data in the Presence of Modeling Errors. Engineering Structures, 131, 542-552 http://dx.doi.org/10.1016/j.engstruct.2016.10.033
76. Eftekhar Azam S, Chatzi E, Papadimitriou C, Smyth A (2017). Experimental Validation of the Kalman-type Filters for Online and Real-time State and Input Estimation. Journal of Vibration and Control, 23(15), 2494-2519. https://doi.org/10.1177/1077546315617672
77. Jensen HA, Esse C, Araya V, PapadimitriouC (2017). Implementation of an Adaptive Meta-Model for Bayesian Finite Element Model Updating in Time Domain. Reliability Engineering and System Safety, 160, 174-190. https://doi.org/10.1016/j.ress.2016.12.005
78. Karathanasopoulos N, Angelikopoulos P, Papadimitriou C, Koumoutsakos P (2017). Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries. Computer Methods in Applied Mechanics and Engineering, 313, 744-758. https://doi.org/10.1016/j.cma.2016.10.024
79. Wu S, Angelikopoulos P, Tauriello G, Papadimitriou C, Koumoutsakos P (2016). Fusing Heterogeneous Data for the Calibration of Molecular Dynamics Force Fields using Hierarchical Bayesian Models. The Journal of Chemical Physics, 145(24). 244112. https://doi.org/10.1063/1.4967956
80. Papadimitriou C, Giakoumi K, Argyris C, Spyrou L, Panetsos P (2016). Bayesian Estimation of Tension in Bridge Hangers using Modal Frequency Measurements. Structural Monitoring and Maintenance, 3(4), 349-375. https://doi.org/112989/smm.2016.3.4.349
81. Papaioannou I, Papadimitriou C, Straub D (2016). Sequential Importance Sampling for Structural Reliability Analysis. Structural Safety, 62, 66-75. https://doi.org/10.1016/j.strusafe.2016.06.002
82. Papadimitriou D, Papadimitriou C (2016). Aerodynamic Shape Optimization for Minimum Robust Drag and Lift Reliability Constraint. Aerospace Science and Technology, 55, 24-33. https://doi.org/10.1016/j.ast.2016.05.005
83. Jensen H, Muñoz A, Papadimitriou C, Vergara C (2016). An Enhanced Substructure Coupling Technique for Dynamic Re-Analyses: Application to Simulation-Based Problems. Computer Methods in Applied Mechanics and Engineering, 307, 215-234. http://dx.doi.org/10.1016/j.cma.2016.04.011
84. Jensen H, Munoz A, Papadimitriou C, Millas E (2016). Model-Reduction Techniques for Reliability-Based Design Problems of Complex Structural Systems. Reliability Engineering and System Safety, 149, 204-217. https://doi.org/10.1016/j.ress.2016.01.003
85. Papadimitriou D, Papadimitriou C (2016). Robust and Reliability-based Topology Optimization using a Continuous Adjoint Method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2(3), B4016002. https://doi.org/10.1061/AJRUA6.0000869
86. Wu S, Angelikopoulos P, Papadimitriou C, Moser R, Koumoutsakos P (2016). A Hierarchical Bayesian Framework for Force Field Selection in Molecular Dynamics Simulations. Philosophical Transactions of the Royal Society A, 374, 20150032. http://dx.doi.org/10.1098/rsta.2015.0032.
87. Papadimitriou D, Papadimitriou C (2015). Optimal Sensor Placement for the Estimation of Turbulence Model Parameters in CFD. International Journal for Uncertainty Quantification, 5(6), 545-568. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2015015239
88. Jensen H, Mayorga F, Papadimitriou C (2015). Reliability Sensitivity Analysis of Stochastic Finite Element Models. Computer Methods in Applied Mechanics and Engineering, 296, 327-351. https://doi.org/10.1016/j.cma.2015.08.007
89. Papadimitriou D, Papadimitriou C (2015). Bayesian Uncertainty Quantification of Turbulence Models based on High-Order Adjoint. Journal of Fluids and Structures, 120, 82-97. https://doi.org/10.1016/j.compfluid.2015.07.019
90. Behmanesh I, Moaveni B, Lombaert G, Papadimitriou C (2015). Hierarchical Bayesian Model Updating for Structural Identification. Mechanical Systems and Signal Processing, 64-65, 360–376. https://doi.org/10.1016/j.ymssp.2015.03.026
91. Angelikopoulos P, Papadimitriou C, Koumoutsakos P (2015). X-TMCMC: Adaptive kriging for Bayesian Inverse Modeling. Computer Methods in Applied Mechanics and Engineering, 289, 409-428. http://dx.doi.org/10.1016/j.cma.2015.01.015.
92. Eftekhar Azam S, Chatzi E, Papadimitriou C (2015). A Dual Kalman Filter Approach for State Estimation via Output-only Acceleration Measurements. Mechanical Systems and Signal Processing, 60-61, 866-866. https://doi.org/10.1016/j.ymssp.2015.02.001
93. Hadjidoukas PE, Angelikopoulos P, Papadimitriou C, Koumoutsakos P (2015). Π4U: A High Performance Computing Framework for Bayesian Uncertainty Quantification of Complex Models. Journal of Computational Physics, 284(1), 1–21. https://doi.org/10.1016/j.jcp.2014.12.006
94. Hadjidoukas PE, Angelikopoulos P, Rossinellia D, Alexeeva D, PapadimitriouC, Koumoutsakos P (2014). Bayesian Uncertainty Quantification and Propagation for Discrete Element Simulations of Granular Materials. Computer Methods in Applied Mechanics and Engineering, 282, 218–238. https://doi.org/10.1016/j.cma.2014.07.017
95. Jensen HA, Millas E, Kusanovic D, Papadimitriou C (2014). Model-Reduction Techniques for Bayesian Finite Element Model Updating Using Dynamic Response Data. Computer Methods in Applied Mechanics and Engineering, 279, 301–324. https://doi.org/10.1016/j.cma.2014.06.032
96. Angelikopoulos P, Papadimitriou C, Koumoutsakos, P. (2013). Data Driven, Predictive Molecular Dynamics for Nanoscale Flow Simulations under Uncertainty. Journal of Physical Chemistry B, 117 (47), 14808–14816. https://doi.org/10.1021/jp4084713
97. Jensen H, Vergara C, Papadimitriou C, Millas E (2013). The Use of Updated Robust Reliability Measures in Stochastic Dynamical Systems. Computer Methods in Applied Mechanics and Engineering, 267, 293-317. https://doi.org/10.1016/j.cma.2013.08.015
98. Simoen E, Papadimitriou C, Lombaert G (2013). On Prediction Error Correlation in Bayesian Model Updating. Journal of Sound and Vibration, 332 (18), 4136-4152. https://doi.org/10.1016/j.jsv.2013.03.019
99. Papadimitriou C, Papadioti DC (2013). Component Mode Synthesis Techniques for Finite Element Model Updating. Computers and Structures, 126, 15-28. https://doi.org/10.1016/j.compstruc.2012.10.018
100. Angelikopoulos P, Papadimitriou C, Koumoutsakos P, (2012). Bayesian Uncertainty Quantification and Propagation in Molecular Dynamics Simulations: A High Performance Computing Framework. The Journal of Chemical Physics, 137(14), https://doi.org/10.1063/1.4757266
101. Michelis P, Papadimitriou C, Karaiskos GK, Papadioti D-C, Fuggini C (2012). Seismic and Vibration Tests for Assessing the Effectiveness of GFRP for Retrofitting Masonry Structures. Smart Structures and Systems, 9(3), 207-230. https://doi.org/10.12989/sss.2012.9.3.207
102. Lourens E, Papadimitriou C, Gillijns S, Reynders E, De Roeck G, Lombaert G (2012). Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors. Mechanical Systems and Signal Processing, 29, 310-327. https://doi.org/10.1016/j.ymssp.2012.01.011
103. PapadimitriouC, Lombaert G, (2012). The Effect of Prediction Error Correlation on Optimal Sensor Placement in Structural Dynamics. Mechanical Systems and Signal Processing, 28, 105-127. https://doi.org/10.1016/j.ymssp.2011.05.019
104. Papadimitriou C, Ntotsios E, Giagopoulos D, Natsiavas S (2012). Variability of Updated Finite Element Models and their Predictions Consistent with Vibration Measurements. Structural Control and Health Monitoring, 19 (5), 630-654. https://doi.org/10.1002/stc.453
105. Papadimitriou C, Fritzen C-P, Kraemer P, Ntotsios E (2011). Fatigue Predictions in Entire Body of Metallic Structures from a Limited Number of Vibration Measurements using Kalman Filtering. Structural Control and Health Monitoring, 18, 554-573. https://doi.org/10.1002/stc.395
106. Gaitanaros S, Karaiskos G, Papadimitriou C, Aravas N (2010). A Bayesian Methodology for Crack Identification in Structures using Strain Measurements. International Journal of Reliability and Safety, 4(2/3), 206-237. https://doi.org/10.1504/IJRS.2010.032446
107. Sobczyk K, Perros K, Papadimitriou C (2010). Fatigue Reliability of Multi-Vibratory Degrading Systems under Random Loading. Journal of Engineering Mechanics (ASCE), 136(2), 179-188. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000052
108. Ntotsios E, Karakostas Ch, Lekidis V, Panetsos P, Nikolaou G, Papadimitriou C, Salonikos Τ (2009). Structural Identification of Egnatia Odos Bridges based on Ambient and Earthquake Induced Vibrations. Bulletin of Earthquake Engineering, 7(2), 485. https://doi.org/10.1007/s10518-008-9074-5
109. Ntotsios E, Papadimitriou C, Panetsos P, Karaiskos G, Perros K, Perdikaris PC (2009). Bridge Health Monitoring System based on Vibration Measurements. Bulletin of Earthquake Engineering, 7(2), 469-483. https://doi.org/10.1007/s10518-008-9067-4
110. Christodoulou K, Ntotsios E, Papadimitriou C, Panetsos P (2008). Structural Model Updating and Prediction Variability using Pareto Optimal Models. Computer Methods in Applied Mechanics and Engineering, 198(1), 138–149. https://doi.org/10.1016/j.cma.2008.04.010
111. Christodoulou K, Papadimitriou C (2007). Structural Identification Based on Optimally Weighted Modal Residuals. Mechanical Systems and Signal Processing, 21(1), 4-23. https://doi.org/10.1016/j.ymssp.2006.05.011
112. Haralampidis Y, Papadimitriou C, Pavlidou M (2005). Multi-Objective Framework for Structural Model Identification. Earthquake Engineering and Structural Dynamics, 34(6), 665-685. https://doi.org/10.1002/eqe.449
113. Verros G, Natsiavas S, Papadimitriou C (2005). Design Optimization of Quarter Car Models with Passive and Semi-Active Suspensions under Random Road Excitation. Journal of Vibrations and Control, 11(5), 581-606. https://doi.org/10.1177/1077546305052315
114. Papadimitriou C, Haralampidis G, Sobczyk K (2005). Optimal Experimental Design in Stochastic Structural Dynamics. Probabilistic Engineering Mechanics, 20(1), 67-78. https://doi.org/10.1016/j.probengmech.2004.06.002
115. Papadimitriou C (2005). Pareto Optimal Sensor Locations for Structural Identification. Computer Methods in Applied Mechanics and Engineering, 194(12-16), 1655-1673. https://doi.org/10.1016/j.cma.2004.06.043
116. Papadimitriou C (2004). Optimal Sensor Placement Methodology for Parametric Identification of Structural Systems. Journal of Sound and Vibration, 278(4-5), 923-947. https://doi.org/10.1016/j.jsv.2003.10.063
117. Poulakis Z, Valougeorgis D, Papadimitriou C (2003). Leakage Detection in Water Pipe Networks Using a Bayesian Probabilistic Framework. Probabilistic Engineering Mechanics, 18(4), 315-327. https://doi.org/10.1016/S0266-8920(03)00045-6
118. Pontikakis G, Papadimitriou C, Stamatelos A (2003). Kinetic Parameter Estimation by Standard Optimization Methods in Catalytic Converter Modeling. Chemical Engineering Communications, 191(11), 1473-1501. https://doi.org/10.1080/00986440490472634
119. Metallidis P, Verros G, Natsiavas S, Papadimitriou C (2003). Fault Detection and Optimal Sensor Location in Vehicle Suspensions. Journal of Vibration and Control, 9(3-4), 337-359. https://doi.org/10.1177/107754603030755
120. Yuen KV, Katafygiotis LS, Papadimitriou C, Mickleborough NC (2001). Optimal Sensor Placement Methodology for Identification with Unmeasured Excitation. Journal of Dynamic Systems, Measurement and Control, 123(4), 677-686. https://doi.org/10.1115/1.1410929
121. Papadimitriou C, Katafygiotis LS (2001). A Bayesian Methodology for Structural Integrity and Reliability Assessment. International Journal of Advanced Manufacturing Systems, 4(1), 93-100.
122. Papadimitriou C, Beck JL, Katafygiotis LS (2001). Updating Robust Reliability Using Structural Test Data. Probabilistic Engineering Mechanics, 16(2), 103-113. https://doi.org/10.1016/S0266-8920(00)00012-6
123. Papadimitriou C, Beck JL, Au SK (2000). Entropy-Based Optimal Sensor Location for Structural Model Updating. Journal of Vibration and Control, 6(5), 781-800. https://doi.org/10.1177/107754630000600508
124. Lutes LD, Papadimitriou C (2000). Direct Derivation of Response Moment and Cumulant Equations for Non-linear Stochastic Problems. International Journal of Nonlinear Mechanics, 35, 817-835. https://doi.org/10.1016/S0020-7462(99)00061-X
125. Polidori D, Beck JL, Papadimitriou C (2000). A New Stationary PDF Approximation for Nonlinear Oscillators. International Journal of Nonlinear Mechanics, 35(4), 657-673. https://doi.org/10.1016/S0020-7462(99)00048-7
126. Katafygiotis LS, Lam HF, Papadimitriou C (2000). Treatment of Unidentifiability in Structural Model Updating. Advances in Structural Engineering – An Int. Journal, 3(1), 19-39. https://doi.org/10.1260/1369433001501996
127. Au SK, Papadimitriou C, Beck JL (1999). Reliability of Uncertain Dynamical Systems with Multiple Design Points. Structural Safety, 212), 113-133. https://doi.org/10.1016/S0167-4730(99)00009-0
128. Papadimitriou C, Katafygiotis LS, Beck JL (1999). Asymptotic 2p-Moment Stability of Stochastic Linear Systems. Mechanics Research Communications, 26(1), 21-29. https://doi.org/10.1016/S0093-6413(98)00095-0
129. Polidori D, Beck JL, Papadimitriou C (1999). New Approximations for Reliability Integrals. Journal of Engineering Mechanics (ASCE), 125(4), 466-475. https://doi.org/10.1061/(ASCE)0733-9399(1999)125:4(466)
130. Beck JL, Chan E, Irfanoglu A, Papadimitriou C (1999). Multi-Criteria Optimal Structural Design Under Uncertainty. Earthquake Engineering and Structural Dynamics, 28, 741-761. https://doi.org/10.1002/(SICI)1096-9845(199907)28:7<741::AID-EQE840>3.0.CO;2-6
131. Papadimitriou C, Katafygiotis LS, Lutes LD (1999). Response Cumulants of Nonlinear Systems Subject to External and Multiplicative Excitations. Probabilistic Engineering Mechanics, 14(1-2), 149-160. https://doi.org/10.1016/S0266-8920(98)00026-5
132. Katafygiotis LS, Papadimitriou C, Lam HF (1998). A Probabilistic Approach to Structural Model Updating. International Journal of Soil Dynamics and Earthquake Engineering, 17(7-8), 495-507. https://doi.org/10.1016/S0267-7261(98)00008-6
133. Papadimitriou C, Beck JL, Katafygiotis LS (1997). Asymptotic Expansions for Reliability and Moments of Uncertain Systems. Journal of Engineering Mechanics, ASCE, 123(12), 1219-1229. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:12(1219)
134. Papadimitriou C, Katafygiotis LS, Au SK (1997). Effects of Structural Uncertainties on TMD Design: A Reliability-Based Approach. Journal of Structural Control, 4(1), 65-88. https://doi.org/10.1002/stc.4300040108
135. Katafygiotis LS, Papadimitriou C, Tsarkov Y (1997). Mean-Square Stability of Linear Dynamical Systems with Small Bounded Stochastic Perturbations of their Coefficients. Mechanics Research Communications, 24(3), 231-236. https://doi.org/10.1016/S0093-6413(97)00018-9
136. Katafygiotis LS, Papadimitriou C, Tsarkov Y (1997). Mean-Square Stability of Linear Stochastic Dynamical Systems Under Parametric Wide-Band Excitations. Probabilistic Engineering Mechanics, 12(3), 137-147. https://doi.org/10.1016/S0266-8920(96)00034-3
137. Katafygiotis LS, Malyarenko AA, Papadimitriou C (1996). Approximation of Homogeneous Gaussian Random Fields with the Help of Cubature Formulas. Theory of Stochastic Processes, 2(18), 60-66. https://hdl.handle.net/1783.1/36470
138. Katafygiotis LS, Papadimitriou C (1996). Dynamic Response Variability of Structures with Uncertain Properties. Earthquake Engineering and Structural Dynamics, 25(8), 775-793. https://doi.org/10.1002/(SICI)1096-9845(199608)25:8<775::AID-EQE581>3.0.CO;2-1
139. Papadimitriou C, Lutes LD (1996). Stochastic Cumulant Analysis of MDOF Systems with Polynomial-Type Nonlinearities. Probabilistic Engineering Mechanics, 11(1), 1-13. https://doi.org/10.1016/0266-8920(95)00022-4
140. Papadimitriou C, Katafygiotis LS, Beck JL (1995). Approximate Analysis of Response Variability of Uncertain Linear Systems. Probabilistic Engineering Mechanics, 10(4), 251-264. https://doi.org/10.1016/0266-8920(95)00020-8
141. Papadimitriou C (1995). Stochastic Response Cumulants of MDOF Linear Systems. Journal of Engineering Mechanics, ASCE, 121 (11), 1181-1192. https://doi.org/10.1061/(ASCE)0733-9399(1995)121:11(1181)
142. Papadimitriou C, Beck JL (1994). Approximate Random Vibration Analysis of Classically Damped MDOF Systems. Journal of Engineering Mechanics, ASCE, 120(1), 75-96. https://doi.org/10.1061/(ASCE)0733-9399(1994)120:1(75)
143. Papadimitriou C, Lutes LD (1994). Approximate Analysis of Higher Cumulants for Multi-Degree-of-Freedom Random Vibration. Probabilistic Engineering Mechanics, 9(1-2), 71-82. https://doi.org/10.1016/0266-8920(94)90031-0
144. Beck JL, Papadimitriou C (1993). Moving Resonance in Nonlinear Response to Fully Nonstationary Stochastic Ground Motion. Probabilistic Engineering Mechanics, 8(3-4), 157-167. https://doi.org/10.1016/0266-8920(93)90011-J

OTHER REFEREED PUBLICATIONS

1. Breitung KW, Polidori D, Beck JL, Papadimitriou C (2001). Discussion of the Paper “New Approximations for Reliability Integrals.” Journal of Engineering Mechanics (ASCE), 127(2), 207-209.
2. Beck JL, Chan E, Irfanoglu A, Papadimitriou C (2000). Authors’ Reply to Discussion of the Paper “Multi-Criteria Optimal Structural Design Under Uncertainty.” Earthquake Engineering and Structural Dynamics, 29(6), 901.
3. Papadimitriou C (1993). “Structural Dynamics – Recent Advances” by G.I. Schueller, Book Review. Journal of Engineering Mechanics, ASCE, 119(7), 1505-1506.

GUEST CO-EDITOR OF SPECIAL ISSUES

1. Jia X, Chatzi E, Papadimitriou C (Guest Editors) (in progress, expected Jan 2026). Uncertainty-aware Structural Health Monitoring (SHM), Mechanical Systems and Signal Processing, https://www.sciencedirect.com/special-issue/328532/uncertainty-aware-structural-health-monitoring
2. Tatsis K, Agathos K, Papadimitriou C (Guest Editors) (2023). Vibration-Based Structural Health Monitoring in Engineering, Applied Sciences (Mechanical Engineering Section), https://www.mdpi.com/journal/applsci/special_issues/I8CEC3ZKA2
3. Chatzi E, Chatzis M, Papadimitriou C (Guest Editors) (2017), Special issue on Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems, Frontiers in Build Environment: Structural Sensing, https://www.frontiersin.org/research-topics/5071/robust-monitoring-diagnostic-methods-and-tools-for-engineered-systems
4. Chatzi E, Papadimitriou C, Beck JL (Guest Editors) (2016). Special issue on Uncertainty Quantification and Propagation in Structural Systems, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, B2016001. https://doi.org/10.1061/AJRUA6.0000884
5. Katafygiotis LS, Papadimitriou C (Guest Editors) (2010). Special Issue on Probabilistic Methods for Modeling, Simulation and Optimization of Engineering Systems under Uncertainty – in Honor of Jim Beck’s 60th Birthday, Journal of Structural Safety, 32(5), 273-356. https://www.sciencedirect.com/journal/structural-safety/vol/32/issue/5
6. Papadimitriou C, Au SK (Guest Editors) (2010). Special Issue on Advances in Reliability Methods and Probabilistic System Identification Techniques, International Journal of Reliability and Safety, 4(2/3), 119-299.

CONFERENCE PROCEEDINGS CO-EDITOR

1. EURODYN 2020, Proceeding of the XI International Conference on Structural Dynamics, M. Papadrakakis, M. Fragiadakis, C. Papadimitriou (Eds). 23-26 Nov 2020. Eurodyn 2020 Proceedings
2. Model Validation and Uncertainty Quantification, Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, Barthorpe, R. Platz, I. Lopez, B. Moaveni, C. Papadimitriou (Eds). Series: Conference Proceedings of the Society for Experimental Mechanics Series, Volume 3, 2017.
3. Model Validation and Uncertainty Quantification, Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics, H. S. Atamturktur, T. Schoenherr, B. Moaveni, Papadimitriou (Eds). Series: Conference Proceedings of the Society for Experimental Mechanics Series, Volume 3, 2016.
4. Model Validation and Uncertainty Quantification, Proceedings of the 33rd IMAC, A Conference and Exposition on Structural Dynamics, H. S. Atamturktur, B. Moaveni, Papadimitriou, T. Schoenherr (Eds). Series: Conference Proceedings of the Society for Experimental Mechanics Series, Volume 3, 2015.
5. Model Validation and Uncertainty Quantification, Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, H. S. Atamturktur, B. Moaveni, Papadimitriou, T. Schoenherr (Eds). Series: Conference Proceedings of the Society for Experimental Mechanics Series, Volume 3, 2014.
6. Topics in Model Validation and Uncertainty Quantification, Proceedings of the 31st IMAC, A Conference on Nonlinear Dynamics, Simmermacher, S. Cogan, B. Moaveni, C. Papadimitriou (Eds). Series: Conference Proceedings of the Society for Experimental Mechanics Series, Volume 5, 2013.

ENCYCLOPEDIA SECTION CO-EDITOR

1. Structural Engineering: Health Monitoring. Chatzi, E. and Papadimitriou, C., Lombaert, G. (Section Eds), Encyclopedia of Earthquake Engineering, Springer, 2014.

BOOK CHAPTERS AND ENCYCLOPEDIA SECTIONS

1. Yan W-J, Katafygiotis L, Papadimitriou C (2021). Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups. In Bayesian Inverse Problems: Fundamentals and Engineering Applications, J. Chiachio-Ruano, M. Chiachio-Ruano. S. Sankararaman, (Editors), CRC Press, 133-153. eBook ISBN: 9781315232973
2. Papadimitriou C (2016). Bayesian Uncertainty Quantification and Propagation (UQ+P): State-of-the-Art Tools for Linear and Nonlinear Structural Dynamics Models. In Identification Methods for Structural Health Monitoring, Chatzi E. and Papadimitriou C. (Editors), Series: CISM-Springer.
3. Papadimitriou C, Katafygiotis LS (2004). Bayesian Modeling and Updating. In Engineering Design Reliability Handbook, E. Nikolaidis, D.M. Ghiocel and S. Singhal (Editors), CRC Press.
4. Simoen E, Papadimitriou C, Lombaert G (2013). Model Class Selection for Prediction Error Estimation. In Encyclopedia of Earthquake Engineering, Springer.

EDITORIALS

Chatzi MN, Chatzi EN, Papadimitriou C (Eds) (2020). Robust Monitoring, Diagnostic Methods and Tools for Engineered Systems, Frontiers Built Environment,  https://doi.org/10.3389/fbuil.2020.00125.

CONFERENCE PUBLICATIONS

1. Papadimitriou C (2025). Hierarchical Bayesian Inference framework for uncertainty quantification and reliability assessment of dynamical systems. 6^th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2025), June 15 – 18, 2025, Rhodes, Greece (invited).
2. Jia X, Yan W-J, Papaioannou I, Papadimitriou C, Straub D (2025). Efficient variational Bayesian framework for real-time structural model updating with streaming data, 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2025, 15-18 June 2025, Rhodes, Greece. (Abstract only)
3. Siu HM, Dimitrakopoulos EG, Papadimitriou C (2025). A generalized contact point response estimation via on-board sensing, 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2025, 15-18 June 2025, Rhodes, Greece.
4. Vogiatzoglou K, Litvinov S, Kaltenbach S, Ampountolas K, Bontozoglou V, Koumoutsakos P, Papadimitriou C (2025). Wildfire spreading forecasting with quantified uncertainties: A Bayesian uncertainty quantification and propagation framework, 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2025, 15-18 June 2025, Rhodes, Greece. (Abstract only)
5. Papadimitriou C. (2025). Hierarchical Bayesian modelling for quantifying and propagating uncertainties in engineering simulations. 1st International Workshop on Bayesian Approach in Civil Engineering (IWOBA 2025), Jan. 10-12, 2025, Hong Kong. Keynote Lecture. (Abstract only)
6. Jia X, Yan W-J, Papadimitriou C, Yuen K-V (2024). Understanding uncertainties in updating models: An analytical perspective for hierarchical Bayesian modelling framework in structural dynamics, 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2024) & 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA2024), April 25-28, 2024, Shanghai, P. R. China (Extended Abstract).
7. Yan W-J, Jia X, Ping M-H, Mo J, Mei L-F, Liu Y-S, Yuen K-V, Papadimitriou C (2024). Exploring Some New Bayesian Learning Schemes for Enhanced Structural Model Updating and Damage Detection, 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2024) & 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA2024), April 25-28, 2024, Shanghai, P. R. China (Extended Abstract).
8. Ercan T, Papadimitriou C (2024). Optimal Sensor Placement for Developing Reliable Digital Twins of Structures. In: Platz, R., Flynn, G., Neal, K., Ouellette, S. (eds) Model Validation and Uncertainty Quantification, Volume 3. SEM 2023. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-031-37003-8_12
9. Filippitzis, F., Siu, H.M., Stoura, C., Papadimitriou, C., Dimitrakopoulos, E.G. (2023). Response reconstruction in bridges using on-board measurements from passing vehicles, 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2023, 12-14 June 2023, Athens, Greece.
10. Teymouri, D., Sedehi, O., Katafygiotis, L.S. and Papadimitriou, C. (2022). A Bayesian Framework for Dynamics Identification and Virtualization, The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021), June 21-25, 2021, Shanghai, P.R. China, Li, Pol D. Spanos, J.B. Chen & Y.B. Peng (Eds).
11. Ercan, T., Tatsis, K., Terrezas, V. F., Chatzi, E., Papadimitriou, C. (2022). Optimal Sensor Configuration Design for Virtual Sensing in a Wind Turbine Blade using Information Theory, In Model Validation and Uncertainty Quantification, Volume 3. Springer, Cham. 2022: pp. 67-70. https://doi.org/10.1007/978-3-031-04090-0_8.
12. Ercan, T., Sedehi, O., Papadimitriou, C., Katafygiotis, L.S. (2022). Bayesian Optimal Sensor Placement for Virtual Sensing and Strain Reconstruction, In: The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022). URL: https://www.scipedia.com/public/Ercan_et_al_2022a.
13. Ercan, T., Sedehi, O., Papadimitriou, C., Katafygiotis, L.S. (2022). Optimal Sensor Placement for Virtual Sensing using Augmented Kalman Filter, 10th European Workshop on Structural Health Monitoring EWSHM 2022.
14. Ercan, T., Papadimitriou, C. (2022). Optimal Sensor Placement for Structural Health Monitoring, 7th European Conference on Structural Control EACS 2022.
15. Ercan, T., Papadimitriou, C. (2022). Optimal Sensor Placement in Physical Dynamic Systems for Reliable Digital Twins, 13th HSTAM International Congress on Mechanics HSTAM 2022.
16. Ercan, T., Papadimitriou, C. (2022). Optimal Sensor Placement for Structures Excited by Earthquakes, 3rd European Conference on Earthquake Engineering & Seismology 3ECEES 2022.
17. Ercan, T., Filippitzis, F. and Papadimitriou, C. (2022). Optimal Design of Sensor Networks for Monitoring of Structures, Hellenic Association of Earthquake Engineering, (HAEE/ETAM) conference 2022.
18. Jia, X., Papadimitriou, C. (2022). Hierarchical Bayesian Learning for Structural Damage Identification, 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, Sep. 4-7, 2022, Hannover, Germany. https://doi.org/10.3850/978-981-18-5184-1_MS-10-192-cd.
19. Jia, X., Sedehi, O., Papadimitriou, C. and Katafygiotis, L.S. (2022). Model updating and robust predictions in structural dynamics through hierarchical Bayesian modeling framework, The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021), June 21-25, 2021, Shanghai, P.R. China, Li, Pol D. Spanos, J.B. Chen & Y.B. Peng (Eds).
20. Jia X., Sedehi O., Katafygiotis L.S., Moaveni B., Papadimitriou C. (2022) Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories. In: Mao Z. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-77348-9_14 [39^th International Modal Analysis Conference (IMAC), Febr. 8-11, 2021, Orlando, Florida, 2021.]
21. Markogiannaki, O., Arailopoulos, A., Giagopoulos, D., Papadimitriou, C. (2021). Vibration-based Damage Detection Framework of Large Scale Structural Systems, Proceedings of the IMAC-XXXIX International Conference and Exposition on Structural Dynamics 2020, February 8-11, 2021, Virtual.
22. Jia, X., Sedehi, O., Papadimitriou, C., Katafygiotis, L.S. (2021). Hierarchical Bayesian modeling frameworks for model updating and response predictions, Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference, EMI 2021, 25-28 May, 2021, Columbia University, USA (Abstract only)
23. Jia, X., Papadimitriou, C. (2021). Bayesian learning in multi-level modeling of dynamical systems using multi-level data, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2021, 24-26 June 2021, Athens, Greece (Abstract only)
24. Ercan, T., Papadimitriou, C. (2021). Optimal Experimental Design for Parameter Estimation of Nonlinear Models, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 27-30 June 2021.
25. Jia, X., and Papadimitriou, C. (2021). Hierarchical Bayesian inference for quantification of uncertainty in multi Level models of dynamical systems, 31st European Safety and Reliability Conference, ESREL 2021, 19-23 September, 2021, Angers, France.https://doi.org/10.3850/978-981-18-2016-8_630-cd (Abstract only)
26. Jia, X., Sedehi, O., Katafygiotis, L.S., Moaveni, B. Papadimitriou, C. (2021). Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories, in: Model Validation and Uncertainty Quantification, Volume 3, Springer, 2021: pp. 91-95. https://doi.org/10.1007/978-3-030-77348-9_14.
27. Ercan, T., Papadimitriou, C. (2021). Optimal Experimental Design Methodology for Structural Health Monitoring, 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure SHMII 2021, 689-693.
28. Mehrjoo, A., Song, M., Moaveni, B., Papadimitriou, C., Hines, E. (2021). Optimal sensor placement for virtual sensing of an offshore wind turbine considering sensor installation cost: A numerical study, 39^th International Modal Analysis Conference (IMAC), Febr. 8-11, 2021, Orlando, Florida.
29. Jia, X., Sedehi, O., Papadimitriou, C., Katafygiotis, L. (2020). Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties, XI International Conference on Structural Dynamics, (EURODYN 2020), Nov. 23-25, 2020, Athens, Greece. DOI: 10.47964/1120.9317.19651
30. Ercan, T., Koumoutsakos, P. and Papadimitriou, C. (2020). Robust Bayesian Optimal sensor placement for model parameter estimation and response predictions, XI International Conference on Structural Dynamics, (EURODYN), Nov. 23-25, 2020, Athens, Greece.
31. Jia, X., Papadimitriou, (2020). Bayesian uncertainty quantification for data-driven hierarchical modeling in structural dynamics, 14th World Congress in Computational Mechanics,  ECCOMAS 2020, 19-24 July, 2020, Paris, France (Abstract only)
32. Jia, X., Sedehi, O., Papadimitriou, C., Katafygiotis, L., Moaveni, B. (2020). Two-stage hierarchical Bayesian framework for finite element model updating, 38^th International Modal Analysis Conference (IMAC), Febr. 10-13, 2020, Houston, Texas.
33. Song, M., Moaveni, B., Papadimitriou, C. (2020). Accounting for modeling error in model updating of civil structures: an overview, 38^th International Modal Analysis Conference (IMAC), Febr. 10-13, 2020, Houston, Texas.
34. Song, M., Astroza, R., Ebrahimian, H., Moaveni, B., Papadimitriou, C. (2020). Nonlinear Model Updating Using Recursive and Batch Bayesian Method, 38^th International Modal Analysis Conference (IMAC), Febr. 10-13, 2020, Houston, Texas.
35. Mehrjoo, A., Song, M., Moaveni, B., Bajric, A., Papadimitriou, C., Hines, E. (2020). Optimal Sensor Placement for Continuous Monitoring of an Offshore Wind Turbine Considering Installation Cost: A Numerical Study, 38^th International Modal Analysis Conference (IMAC), Febr. 10-13, 2020, Houston, Texas.
36. Ercan, T., Sedehi, O. Papadimitriou, C. and Katafygiotis, L. (2019). Robust Optimal Sensor Placement for Response Reconstruction using Output-only Vibration Measurements, 29^th European Safety and Reliability Conference, 22-26 September, 2019, Hannover, Germany.
37. Papadimitriou, C. (2019). “Bayesian Optimal Experimental Design Framework for Data-Driven Uncertainty Quantification of Dynamical Systems.” 14^th International Conference on Vibration Problems (ICOVP 2019), 1-4 September, 2019, Crete, Greece (Semi-Plenary Lecture).
38. Yan, W.-J., Chronopoulos, D., Papadimitriou, C., Cantero-Chinchilla, S. and Zhu, G.-S. Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme, International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24 – 26, 2019, Crete, Greece.
39. Ercan, T., Sedehi, O. Papadimitriou, C. and Katafygiotis, L. (2019). Information Entropy Approach to Optimal Sensor Placement for Reconstructing Structural Vibrations, International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24 – 26, 2019, Crete, Greece (Abstract only).
40. Jia, X. and Papadimitriou, C. (2019). Data Features-based Likelihood-Informed Bayesian Finite Element Model Updating, International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24 – 26, 2019, Crete, Greece.
41. Argyris, C., Papadimitriou, C. and Lombaert, G., “Sampling and sensitivity-based techniques for Bayesian optimal sensor placement with respect to response predictions,” International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24 – 26, 2019, Crete, Greece (Abstract only).
42. Papadimitriou, C. (2019). “Hierarchical Bayesian Modelling Framework for Data-Driven Uncertainty Quantification in Engineering Simulations”, International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24 – 26, 2019, Crete, Greece. Abstract only (Semi-Plenary Lecture).
43. Papadimitriou, C. and Ercan, T. Robust Bayesian Optimal Experimental Design for Structural Identification and Response Predictions, ASCE Engineering Mechanics Institute Conference, June 18-21, 2019, Caltech, Pasadena, California.
44. Song, M., Ebrahimian, H., Moaveni, B. and Papadimitriou, C. (2019). Model Updating and Modeling Error Estimation of Nonlinear FE Models through a Sequential Bayesian Filtering Approach. ASCE Engineering Mechanics Institute Conference, June 18-21, 2019, Caltech, Pasadena, California.
45. Teymouri, D., Sedehi, O., Katafygiotis, L.S. and Papadimitriou, C. (2019). A New Online Bayesian Approach for the Joint Estimation of State and Input Forces using Response-only Measurements, 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13, Seoul, South Korea, May 26-30, 2019.
46. Sedehi, O., Teymouri, D., Katafygiotis, L.S. and Papadimitriou, C. (2019). Quantification of Aleatory Uncertainty in Modal Updating Problems using a New Hierarchical Bayesian Framework, 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13, Seoul, South Korea, May 26-30, 2019.
47. Papadimitriou, C. (2019). Optimal Sensor Placement for Response Reconstruction in Structural Dynamics, 37^th International Modal Analysis Conference (IMAC), Jan. 28-31, 2019, Orlando, Florida.
48. Argyris, C., Papadimitriou, C. and Lombaert, G. (2019). Optimal Sensor​ Placement for Response Predictions Using Local and Global Methods, 37^th International Modal Analysis Conference (IMAC), Jan. 28-31, 2019, Orlando, Florida.
49. Papadimitriou, C. (2018). Data-Driven Bayesian Uncertainty Quantification and Propagation Framework for Dynamical Systems, The 9^th Conf. on Computational Methods (ICCM 2018), Aug. 6-10, Rome (Abstract only).
50. Papadimitriou, C. (2018). Data-driven Bayesian uncertainty quantification and propagation in structural dynamics, Workshop on Interface of Models, Algorithms and Data, July 17-18, 2018, IACM-FORTH, Heraklion, Crete, Greece. (Presentation only).
51. Sedehi, O., Katafygiotis, L.S., Papadimitriou, C. Data-driven uncertainty quantification and propagation framework in structural dynamics using a hierarchical Bayesian framework. 8^th Conf. on Computational Stochastic Mechanics (CSM-8), June 10-13, 2018, Paros, Greece.
52. Sedehi, O., Katafygiotis, L.S., Papadimitriou, C. and Rofooei, F.R. (2018). “Development of a Time-Domain Hierarchical Bayesian Approach for Model Updating,” 16th European Conference on Earthquake Engineering, June 18-21, 2018, Thessaloniki, Greece.
53. Sedehi, O., Papadimitriou, C. and Katafygiotis, L.S. (2018). “Bayesian Model Updating: Present Conceptual Challenges and Practical Shortcomings,” The 7th World Conference on Structural Control and Monitoring (7WCSCM), July 22-25, 2018, Qingdao, China.
54. Song, M., Behmanesh, I., Moaveni, B. and Papadimitriou, C. (2018). “Hierarchical Bayesian Calibration and Response Prediction of a 10-Story Shear Building Model,” 36^th International Modal Analysis Conference (IMAC), Febr 12-15, 2018, Orlando, Florida.
55. Papadimitriou,, Chatzi, E., Eftekhar Azam, S. and Dertimanis, V. (2018). “Fatigue monitoring and remaining lifetime prognosis using operational vibration measurements,” 36^th International Modal Analysis Conference (IMAC), Febr 12-15, 2018, Orlando, Florida.
56. Song, M., Moaveni, B., Papadimitriou, C. and Stavridis, A. (2018). “Hierarchical Bayesian Model Updating for Assessment and Response Prediction of a Two-story Reinforced Concrete Building under Different Excitation Levels.” ASCE Engineering Mechanics Institute Conference, May 29 – June 1, Boston (abstract only).
57. Papadimitriou, C., Argyris, C. and Panetsos, O. (2017). “Information-Driven Modeling of Civil Structures using a Bayesian Framework,” Experimental Vibration Analysis of Civil Structures: Testing Sensing, Monitoring, and Control (EVACES2017), Editors: P. Conte, R. Astroza, G. Benzoni, G. Feltrin, K. J. Loh, B. Moaveni, Series Title: Lecture Notes in Civil Engineering, Springer.
58. Jensen H., Esse C., Papadimitriou C. and Valdebenito M. (2017). “An Adaptive Kriging Meta-Model for Bayesian Finite Element Model Updating,” 12th International Conference on Structural Safety and Reliability (ICOSSAR 2017), Technische Universitat Wien, Vienna, Austria, August 6–10, 2017.
59. Papadimitriou, C. (2017). “Challenges in Bayesian Uncertainty Quantification and Propagation for Structural Dynamics Simulations,” Frontiers of Uncertainty Quantification in Engineering (FrontUQ), Sept. 6-8, 2017, Munich Germany (abstract only).
60. Papadimitriou, C., Eftekhar, S., Chatzi, E. and Dertimanis, V. (2017). Fatigue Monitoring and Remaining Lifetime Prognosis in Steel Structures using Output-only Vibration Measurements, Engineering Mechanics Institute conference (EMI 2017), UC San Diego, June 4-7, 2017 (abstract only).
61. Ebrahimian, H. Astroza, R., Conte, J. P. and Papadimitriou, C. (2017). “A Nonlinear Model Inversion Method for Joint System Parameter, Noise, and Input Identification of Civil Structures,” X International Conference on Structural Dynamics (EURODYN 2017), Rome, Italy, September 10-13 2017.
62. Giagopoulos, D. Arailopoulos, A. Dertimanis, V., Papadimitriou, C., Chatzi, E. and Grompanopoulos, K. (2017). “Computational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensors,” X International Conference on Structural Dynamics (EURODYN 2017), Rome, Italy, September 10-13 2017.
63. Papadimitriou, C. and Argyris, C. (2017). “Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems,” X International Conference on Structural Dynamics (EURODYN 2017), Rome, Italy, September 10-13 2017.
64. Koumoutsakos, P. and Papadimitriou, C. (2017). “Data Driven Prediction using Particles,” IUTAM/AMERIMECH Symposium on Computational Mechanics of Particle-Functionalized Fluid and Solid Materials for Additive Manufacturing and 3D Printing Processes, UC Berkeley, USA, May 30-31, 2017.
65. Papadimitriou, C. (2017). “Bayesian Framework for Fault Identification in Systems using Physics–Based Models,” Symposium on Making Rational Decisions under Uncertainty and Model Complexity (A celebration in Honor of Prof James L. Beck Career and Tenure at Caltech), Caltech, Pasadena, Febr. 3-4, 2017 (abstract only).
66. Argyris, C. and Papadimitriou, (2017). “Bayesian Optimal Experimental Design using Asymptotic Approximations,” 35^th International Modal Analysis Conference (IMAC), Jan 30- Febr 2, 2017, Orange Grove, California (extended abstract).
67. Ebrahimian, H. Astroza, R. Conte, J.P. and Papadimitriou, (2017). “Bayesian Inference Method for Blind Nonlinear System and Damage Identification of Civil Structures,” 35^th International Modal Analysis Conference (IMAC), Jan 30- Febr 2, 2017, Orange Grove, California (extended abstract).
68. Papadimitriou, C., Gavriilidis, I., Argyris, C., Jensen, H., Esse, C., Araya, V. (2017). “Identification and Finite Element Modeling of Alcazar Building in Chile using Earthquake Vibration Data,” 16th World Conference on Earthquake Engineering, Santiago, Chile, January 9-13, 2017.
69. Kulakova, L., Angelikopoulos, P., Hadjidoukas, P.E., Papadimitriou, C. and Koumoutsakos, P. (2016). “Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations.” Association for Computing Machinery (ACM) – Proceedings of the Platform for Advanced Scientific Computing Conference (PASC’16), 8-10 June, 2016, Lausanne, Switzerland, Article No. 4.
70. Papadimitriou, C., Argyris, C. Chatzi, E. (2016). “Asymptotic and Sampling Approaches to Optimal Experimental Design,” 11HSTAM Conference, Athens, Greece.
71. Arampatzis, G., Angelikopoulos, P., Papadimitriou, C., Wu, S., Ribba, B., Ducray, F., Menze, B. and Koumoutsakos, P., (2016). “Hierarchical Bayesian Inference for Personalised Pharmacodynamics Models,” Latsis Symposium 2016: Personalized Medicine – Challenges and Opportunities, 27-29 June 2016, ETH Zurich,, Switzerland.
72. Arampatzis, G., Papadimitriou, C. and Koumoutsakos, P. (2016). “Efficient Hierarchical Bayesian Inference: An Application in Pharmacokinetics,” Greek Stochastics θ’: Big Data and Models, July 10-13, Tinos, Greece.
73. Papadimitriou, D., Argyris, C. and Papadimitriou C. (2016). “Bayesian Optimal Experimental Design for Estimating Parameters of Turbulence Models,” SIAM Conference on Uncertainty Quantification, April 5-8, 2016, Lausanne, Switzerland.
74. Giagopoulos, D. Arailopoulos, A., Eftekhar Azam, S., Papadimitriou, C. and Chatzi, E. (2016). “Dynamic Response Estimation and Fatigue Prediction in a Linear Substructure of a Complex Mechanical Assembly,” 8^th European Workshop on Structural Health Monitoring, July 5-8, Bilbao, Spain.
75. Ntertimanis, V.K., Chatzi, E.N., Eftekhar Azam, S. and Papadimitriou, C. 2016). “Output-only Fatigue Prediction of Uncertain Steel Structures,” 8^th European Workshop on Structural Health Monitoring, July 5-8, Bilbao, Spain.
76. Papadimitriou, C., Argyris, C. and Chatzi, E. (2016). “An Information Theoretic Framework for Optimal Experimental Design,” Fifth International Symposium on Life-Cycle Civil Engineering, 16-19 October, 2016, Delft, The Netherlands.
77. Argyris, C. Papadimitriou, C. (2016). “A Bayesian Framework for Optimal Experimental Design in Structural Dynamics,” 34^th International Modal Analysis Conference (IMAC), January 24-28, 2016, Orlando, Florida.
78. Dertimanis, V.K., Chatzi, E.N., Eftekhar Azam, S. and Papadimitriou, C. (2016). “Fatigue assessment in steel railway bridges using output only vibration measurements and partial structural information,” The Third International Conference on Railway Technology:Research, Development and Maintenance (Railways 2016), 5-8 April 2016, Cagliari, Sardinia, Italy.
79. Koumoutsakos, P., Rossinelli, D., Kulakova, L., Alexeev, D., Litvinov, S., Angelikopoulos, P. Hadjidoukas, P.and Papadimitriou, C. (2016). “An HPC Framework for Bayesian Uncertainty Quantification of Flows across Scales,” XXIV ICTAM, 21-26 August 2016, Montreal, Canada.
80. Hadjidoukas, P., Angelikopoulos, P., Kulakova, L., Papadimitriou, C. and Koumoutsakos, P. (2015). “Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification.” Euro-Par 2015, August 24-18, 2015, Vienna, Austria.
81. Jensen, H., Esse, C., Araya, , Papadimitriou, C. (2015). “Implementation of an Adaptive Meta-Model for Bayesian Finite Element Model Updating,” The 13^th International Probabilistic Workshop (IPW2015), 4-6 November, 2015, University of Liverpool, UK.
82. Papadimitriou, C., Argyris, C., Panetsos, P. (2015). “A Computationally Efficient Bayesian Framework for Structural Health Monitoring using Physics-Based Models,” The Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering (CIVIL-SOFT-COMP 2015), 1-4 September, Prague, Czech Republic.
83. Giakoumi, K., Papadimitriou, C., Argyris, C., Spyrou, L. and Panetsos, P. (2015). “Effect of Support Conditions on Estimating Hanger Tension in Arch Bridges using Modal Frequency Measurements.” 8^th GRACM International Congress on Computational Mechanics, 12-15 July, 2015, Volos, Greece.
84. Argyris, C., Tsopelas, P. and Papadimitriou, C. (2015). “Bayesian Identification of Nonlinear Models of Seismically Isolated Structures.” 8^th GRACM International Congress on Computational Mechanics, 12-15 July, 2015, Volos, Greece.
85. Angelikopoulos, P., Wu, S., Hadjidoukas, P. E., Papadimitriou, and Koumoutsakos, P. (2015). “Large Scale Uncertainty Quantification in Molecular Dynamics Simulations.” Symposium: Big Data and Predictive Computational Modeling, May 18-20, 2015, TUM Institute for Advanced Study, Technical Universitat Munchen, Germany.
86. Maes, K., Lourens, E., Liu, K., Papadimitriou, C., De Roeck, G. and Lombaert, G. (2015). “Online response estimation using vibration data from a limited number of sensors for a composite railway bridge,” V ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015), 25-27 May, Krete Island, Greece.
87. Argyris, C., Papadimitriou, C., Papadioti, D.-C., Panetsos, P. and Tsopelas, P. (2015). “Model Calibration of Metsovo Bridge using Ambient Vibration Measurements from Various Construction Phases,” 1^st Conf. on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), 25-27 May, Krete Island, Greece.
88. Eftekhar Azam, S. Chatzi, E. and Papadimitriou, C. (2015). “On the Output-only Schemes for Fatigue Damage Prediction of Linear Time-Varying Structural Systems,” 1^st Conf. on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), 25-27 May, Krete Island, Greece.
89. Papadimitriou, C. (2015). “Computational Challenges in Bayesian Uncertainty Quantification of Large-Order Models,” Semi-Plenary Lecture, 1^st Conf. on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), 25-27 May, Krete Island, Greece.
90. Papadimitriou, D. and Papadimitriou, C. (2015). “Posterior Robust Optimization for Design Update based on Measurements,” 1^st Conf. on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), 25-27 May, Krete Island, Greece.
91. Papadimitriou, D. and Papadimitriou, C. (2015). “Robust and Reliability-Based Topology Optimization of Wing Bodies,” AIAA Aviation 2015, 22-26 June, Dallas, Texas.
92. Papadimitriou, D. and Papadimitriou, C. (2015). “Structural Optimization of a Wing Body with Uncertain Aerodynamic Loads,” VI International Conference on Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2015), ECCOMAS Thematic Conference, 18-20 May, San Servolo Island, Venice, Italy.
93. Papadimitriou, C., Angelikopoulos, P., Hadjidoukas, P.E. and Koumoutsakos, P. (2015). “Computationally Efficient Tools for Bayesian Uncertainty Quantification and Propagation in Structural Dynamics,”
    SIAM Conference on Computational Science and Engineering (CSE 2015), March 14-18, 2015, Salt Lake City, Utah, USA.
94. Koumoutsakos, P., Angelikopoulos, P. and Papadimitriou, C. (2015). “Bayesian Uncertainty Quantification and Propagation for Molecular Dynamic Simulations in Nanoscale Fluid Mechanics,” SIAM Conference on Computational Science and Engineering (CSE 2015), March 14-18, 2015, Salt Lake City, Utah, USA.
95. Papadimitriou, D.I., Papadimitriou, C. “Sensitivity Analysis for Uncertainty Propagation and Robust Design,” AIAA Science and Technology Forum and Exposition (SciTech 2015), Kissimmee, Florida, 5-9 January 2015.
96. Behmanesh, I., Moaveni, B., Lombaert, G. and Papadimitriou, C. (2015). “Hierarchical Bayesian Model Updating for Probabilistic Damage Identification,” 33^rd International Modal Analysis Conference (IMAC), Febr. 2015, Orlando, Florida.
97. Eftekhar Azam, S., Chatzi, E., Papadimitriou, C. and Smyth, A. (2015). “Experimental validation of the dual Kalman filter for online and real-time state and input estimation,” 33^rd International Modal Analysis Conference (IMAC), Febr. 1-5, 2015, Orlando, Florida.
98. Argyris, C., Papadioti, D.-C., Panetsos, P. and Papadimitriou, C. (2014). “Calibration of Finite Element Models of Metsovo Bridge using Vibration Measurements,” IBSBI 2014, October 16 -18, 2014, Athens, Greece.
99. Eftekhar Azam, S., Chatzi, E. and Papadimitriou, C. (2014). “A Dual Input and State Estimation Scheme for Fatigue Damage Prediction in Metallic Structures,” EMI 2014 Conference, 4-8 August 2014, Hamilton, Ontario, CA.
100. Eftekhar Azam, S., Papadimitriou, C., and Chatzi, E. (2014). “Recursive Bayesian Filtering for Displacement Estimation via Output-only Vibration Measurements”, Proceedings of the 2014 World Congress on Advances in Civil, Environmental, and Materials Research (ACEM12), 24-28 August, 2014, Busan, Korea.
101. Papadimitriou, D.I. and Papadimitriou, C. (2014). “Robust Reliability-based Aerodynamic Shape Optimization,” 4th International Conference on Engineering Optimization, 8-11 September 2014, Lisbon, Portugal.
102. Papadimitriou, C. and Papadimitriou, D.I. (2014) “Bayesian Uncertainty Quantification and Propagation using Adjoint Techniques,” 5th European Conference on Computational Mechanics (ECCM V), July 20–25, 2014, Barcelona, Spain.
103. Papadimitriou, D.I. and Papadimitriou, C. (2014) “Uncertainty Propagation for Robust Aerodynamic Shape Optimization,” 32nd AIAA Applied Aerodynamics Conference, June 2014, Atlanta, Georgia.
104. Papadimitriou, C. (2014). “Bayesian Uncertainty Quantification and Propagation in Structural Dynamics Simulations,” EURODYN 2014 Conference, June 30 – July 2, Porto, Portugal.
105. Argyris, C., Tsopelas, P. and Papadimitriou, C. “Bayesian Uncertainty Quantification in Seismically Isolated Structures Equipped with Nonlinear Hysteretic Devices.” 6th World Conference on Structural Control and Monitoring (6WCSCM), 15-17, 2014, Barcelona, Spain.
106. Ballesteros, G.C., Angelikopoulos, P., Papadimitriou, C. and Koumoutsakos, P. (2014). “Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics,” Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2014), Michael Beer, Ivan S.K. Au & Jim W. Hall (editors), 13 – 16 July 2014, University of Liverpool, UK.
107. Papadimitriou, C., Argyris, C., Papadioti, D.-C. and Panetsos, P. (2014). “Uncertainty Calibration of Large-Order Models of Bridges using Ambient Vibration Measurements,” 7th European Workshop on Structural Health Monitoring, July 8 – 11, Nantes, France.
108. Papaioannou, , Straub, D. and Papadimitriou, C. (2014). “Sequential Importance Sampling for Structural Reliability”, The 17th Working Conference of the IFIP Working Group 7.5 on Reliability and Optimization of Structural Systems (IFIP 2014), 3-7 July, 2014, Huangshan, China.
109. Giagopoulos, D., Papadimitriou, C. and Natsiavas, S. (2014) Nonlinear Identification and Health Monitoring of Gear-Pair”, 8th European Nonlinear Dynamics Conference (ENOC2014), July 6-11, 2014, Vienna, Austria.
110. Giagkopoulos, D., Papadimitriou, C. and Natsiavas, S. (2014). “Nonlinear Gear Transmission System Numerical Dynamic Analysis and Experimental Validation,” 32^nd International Modal Analysis Conference (IMAC), Febr 2014, Orlando, Florida.
111. Papadioti, D.-C., Giagkopoulos, D. and Papadimitriou, C. (2014). “Fatigue Monitoring in Metallic Structures using Vibration Measurements,” 32^nd International Modal Analysis Conference (IMAC), Febr. 2014, Orlando, Florida.
112. Papadimitriou, D.I. and Papadimitriou, C. (2013). “Bayesian estimation of turbulence model parameters using high-order sensitivity analysis,” 4th International Congress on Computational Engineering and Sciences (FEMTEC), 19-24 May 2013, Las Vegas.
113. Papadimitriou, D.I. and Papadimitriou, C. (2013). “Optimal Sensor Location for Model Parameter Estimation in CFD,” 21st AIAA Computational Fluid Dynamics Conference, 24-27 June 2013, San Diego, California.
114. Papadimitriou, C. and D.-C. Papadioti (2013). “Fast Bayesian estimators for structural damage identification using vibration measurements.” ASCE-EMI 2013 Conference, Northwestern University, Evanston, IL, August 4-7.
115. Angelikopoulos, P., Papadimitriou, C., Koumoutsakos, P., D.-C. Papadioti (2013). “Efficient Techniques for Bayesian Inverse Modelling of Large-Order Computational Models, International Conference on Structural Safety and Reliability (ICOSSAR 2013), New York, June 2013.
116. Papadimitriou, D.I. and Papadimitriou, C. (2013). “Bayesian Estimation of Turbulence Model Parameters Using High-Order Sensitivity Analysis”, FEMTEC 2013 Conference, Las Vegas, May 19-24.
117. Papadimitriou, D.I. and Papadimitriou, C. (2013). “Optimal Sensor Location for Model Parameter Estimation in CFD”, 21st Computational Fluid Dynamics Conference, San Diego, California, 24-27 June.
118. Giagkopoulos, D., D.-C. Papadioti, Papadimitriou, C., and Natsiavas, S., (2013). “Bayesian Uncertainty Quantification and Propagation in Nonlinear Structural Dynamics”, Proceedings of the 31st International Modal Analysis Conference (IMAC), Topics in Model Validation and Uncertainty Quantification, T. Simmermacher, S. Cogan, B. Moaveni, C. Papadimitriou (Eds), Volume 5, pp. 33-41.
119. Papadimitriou, C. and D.-C. Papadioti (2013). “Fast Computing Techniques for Bayesian Uncertainty Quantification in Structural Dynamics,” International Modal Analysis Conference (IMAC), California, Febr 2013.
120. Papadimitriou, C. and Panetsos, P. (2013). “Techniques for Health Monitoring of Bridges using Sensor Networks (Τεχνικές Παρακολούθησης Δομικής Κατάστασης Γεφυρών με Δίκτυα Αισθητήρων)”, Bridge Maintenance and Rehabilitation Workshop (Ημερίδα Συντήρησης και Επιδιόρθωσης Γεφυρών), Athens, Jan 28, 2013 (in Greek).
121. Angelikopoulos, P., Papadimitriou, C., Koumoutsakos, P. (2012). “Bayesian Uncertainty Quantification and Propagation in Molecular Dynamics Simulations.” ECCOMAS 2012, Sept 10-14, 2012, Vienna, Austria.
122. Simoen, E., Papadimitriou, C., De Roeck, G. and Lombaert, G. (2012). “The Effect of Prediction Error Correlation on Vibration-based Model Updating”, SIAM Conference on Uncertainty Quantification, April 2-4, 2012, Raleigh, North Carolina, USA.
123. Papadimitriou, C. (2012). “Bayesian Uncertainty Quantification and Propagation in Structural Dynamics Simulations using Monitored Data.” 6th International ASRANet Conference for Integrating Structural Analysis, Risk and Reliability, London, Croydon (UK), 2-4 July, 2012.
124. Papadimitriou C. and D.-C. Papadioti (2012). “Optimal Sensor Placement for Parameter Estimation in Dynamic System.” Advances in Smart Materials/Sensors/Actuators/MEMS/NEMS of Symposium G “Emboding Intelligence in Structures and Integrated Systems” of the 4th International Conference on “Smart Materials, Structures and Systems, Montecatini Terme, Italy, June 10-15, 2012.
125. Papadimitriou C. and D.-C. Papadioti (2012). “Bayesian Uncertainty Quantification and Propagation in Large-Order Finite Element Models using CMS Techniques”, 5th European Conference on Structural Control (EACS 2012), June 18-20, 2012 in Genoa, Italy.
126. -C. Papadioti and Papadimitriou, C. (2012). “Fast Bayesian Structural Damage Localization and Quantification using High Fidelity FE Models and CMS Techniques”, 3^rd International Symposium on Life-Cycle Civil Engineering, Oct. 2012, Vienna, Austria.
127. Papadimitriou, C., Lourens, E.-M., Lombaert, G., De Roeck, G., and Liu, K. (2012). “Predictions of Fatigue Damage Accumulation in the Entire Body of Metallic Bridges by Analysing Operational Vibrations”, 3^rd International Symposium on Life-Cycle Civil Engineering, Oct. 2012, Vienna, Austria.
128. Simoen, E., Papadimitriou, C., De Roeck, G. and Lombaert, G. (2012). “Influence of the Prediction Error Correlation Model on Bayesian FE Model Updating Results”, 3^rd International Symposium on Life-Cycle Civil Engineering, Oct. 2012, Vienna, Austria.
129. Karaiskos, G., Papanikolaou, P, Papadimitriou, C. (2011). “Vibration Control of Flexible Structures using Jet Pulses”, Eighth International Conference on Structural Dynamics EURODYN 2011, June 2011, Leuven.
130. Lourens, E., Lombaert, G, Papadimitriou, C., De Roeck, G. (2011). “Joint Input – Response Predictions in Structural Dynamics”, Eighth International Conference on Structural Dynamics EURODYN 2011, June 2011, Leuven.
131. Papadimitriou, C. and D.C. Papadioti (2011). “Bayesian Estimation of Weights in Weighted Residuals Techniques for Finite Element Model Updating”, Eighth International Conference on Structural Dynamics EURODYN 2011, June 2011, Leuven.
132. Lourens, E., Lombaert, G, Papadimitriou, C., De Roeck, G. (2011). “Joint Estimation of States and Input in Linear Structural Dynamics.” III ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, M. Fragiadakis, V. Plevris (eds.), Corfu, Greece, 26-28 May 2011.
133. Papadioti, C., Papadimitriou, C. (2011). “Finite Element Model Validation and Predictions using Dynamic Reduction Techniques.” III ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, M. Fragiadakis, V. Plevris (eds.), Corfu, Greece, 26-28 May 2011.
134. Michelis, P., Papadimitriou, C., Karaiskos, G., Papadioti, C. (2011). “Full-scale Shake Table Experiments and Vibration Tests for Assessing the Effectiveness of Textile Materials for Retrofitting Masonry Buildings.” III ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, M. Fragiadakis, V. Plevris (eds.), Corfu, Greece, 26-28 May 2011.
135. Papadimitriou, C. (2010). “Bayesian Updating of Weight Values Uncertainty in Weighted Residual Methods for Model Updating and Response Predictions”, ISMA2010 International Conference on Noise and Vibration Engineering, September 20-22, 2010, Leuven.
136. Papadimitriou, C. (2010). “Bayesian Estimation of Weights in Weighted Residual Methods for Finite Element Model Updating”, EMI2010 Engineering Mechanics Conference, August 9-12, 2010, Los Angeles.
137. Papadimitriou, C., Ntotsios, E. and Papadioti, D.-C. (2010). “Bayesian Weight Selection in Structural Model Updating based on Weighted Residuals”, IV European Conference on Computational Mechanics (ECCM2010), May 16-21, 2010, Paris, France.
138. Panetsos, P., Ntotsios, E., Papadioti, D.-C., Papadimitriou, C., Dakoulas, P. (2010). “Health Monitoring of Metsovo Bridge using Ambient Vibrations”, 5^th European Workshop on Structural Health Monitoring, Sorrento, Italy, June 29 – July 2.
139. Papadimitriou, C., Papadioti, D.-C., Ntotsios, E. (2010). “Structural Damage Identification using a Bayesian Model Selection Framework”, 5^th European Workshop on Structural Health Monitoring, Sorrento, Italy, June 29 – July 2.
140. Papadimitriou, C. and Ntotsios, E. (2009). “Bayesian Methodology for Structural Damage Identification and Reliability Assessment.” International Operational Modal Analysis Conference (IOMAC 2009), Ancona, Italy, 4-6 May 2009.
141. Papadimitriou, C., Fritzen, C.-P., Kraemer, P. and Ntotsios, E. (2009). “Fatigue Lifetime Estimation in Structures using Ambient Vibration Measurements.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, N.D. Lagaros, M. Fragiadakis (eds.), Rhodes, Greece, 22-24 June 2009.
142. Papadimitriou, C. and Ntotsios, E. (2009). “Structural Model Updating using Vibration Measurements.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, N.D. Lagaros, M. Fragiadakis (eds.), Rhodes, Greece, 22-24 June 2009.
143. Giagopoulos, D., Ntotsios, E., Papadimitriou, C. and Natsiavas, S. (2009). “Finite Element Model Updating of an Experimental Vehicle Model using Measured Modal Characteristics.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, N.D. Lagaros, M. Fragiadakis (eds.), Rhodes, Greece, 22-24 June 2009.
144. Panetsos, P., Ntotsios, E., Liokos, N.-A. and Papadimitriou, C. (2009). “Identification of Dynamic Models of Metsovo (Greece) Bridge using Ambient Vibration Measurements.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, N.D. Lagaros, M. Fragiadakis (eds.), Rhodes, Greece, 22-24 June 2009.
145. Perros, K. and Papadimitriou, C. (2009). “Reliability Analysis of Bridge Models with Elastomeric Bearings and Seismic Stoppers under Stochastic Earthquake Excitations.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, N.D. Lagaros, M. Fragiadakis (eds.), Rhodes, Greece, 22-24 June 2009.
146. Panetsos, P., Ntotsios, E. and Papadimitriou, C. (2008). “Assessment of the Structural Condition of Bridges based on their Combined Visual and Instrumental Inspection (Αξιολόγηση της Δομικής Κατάστασης των Γεφυρών βάσει της Συνδυασμένης Οπτικής και Ταχείας Ενόργανης Επιθεώρησής τους)”, 3^rd Panhellenic Conference on Earthquake Engineering and Engineering Seismology – 3^ο Πανελλήνιο Συνέδριο Αντισεισμικής Μηχανικής και Τεχνικής Σεισμολογίας, Paper No. 2054 (in Greek).
147. Ntotsios, E., Perros, K., Papadimitriou, C., Panetsos, P., Lekidis, V., Karakostas, Ch., Salonikios, Th., Makarios, T. and Sous, I. (2008). “Model Updating of Egnatia Odos Bridges based on their Dynamic Responses (Αναθεώρηση Προσομοιωμάτων Γεφυρών της Εγνατίας Οδού με βάση την Απόκρισή τους σε Δυναμικές Διεγέρσεις)”, 3^rd Panhellenic Conference on Earthquake Engineering and Engineering Seismology – 3^ο Πανελλήνιο Συνέδριο Αντισεισμικής Μηχανικής και Τεχνικής Σεισμολογίας, Paper No. 2018 (in Greek).
148. Papadimitriou, C., Ntotsios, E. and Nikolaou, (2008). “Structural Identification based on Ambient and Earthquake Induced Vibrations (Αναγνώριση Μοντέλων Κατασκευών βάσει Μετρήσεων σε Περιβαλλοντικές και Σεισμικές Διεγέρσεις)”, 3^rd Panhellenic Conference on Earthquake Engineering and Engineering Seismology – 3^ο Πανελλήνιο Συνέδριο Αντισεισμικής Μηχανικής και Τεχνικής Σεισμολογίας, Paper No. 2017 (in Greek).
149. Ntotsios, E. and Papadimitriou, C. (2008). “Multi-objective Optimization Algorithms for Finite Element Model Updating”, ISMA2008 International Conference on Noise and Vibration Engineering, September 15-17, 2008, Leuven, pp. 1895-1909.
150. Papadimitriou, C. and Ntotsios, E. (2008). “Optimization Algorithms for System Integration”, 3^rd International Conference Smart Materials, Structures and Systems, Acireale, Sicily. Advances in Science and Technology, Vol. 56 (2008), pp 514-523, online at http://www.scientific.net, Trans Tech Publications, Switzerland.
151. Perros, K and Papadimitriou, C. (2008). “Reliability of Piecewise Linear Systems Subject to Stochastic Excitations”, 4^th International ASRANet Colloquium, 25-27 June 2008, Athens, Greece.
152. Perros, K., Papadimitriou, C., Sobczyk, K. (2008). “Fatigue Reliability Predictions in Vibrating Structures under Uncertainty”, 4^th European Workshop on Structural Health Monitoring, T. Uhl, W. Ostachowicz and J. Holnicki-Szulc (Eds), DEStech Publications, Inc., pp. 491-498.
153. Panetsos, P., Ntotsios E. and Papadimitriou C. (2008). “Bridge Health Monitoring System Based on Vibration Measurements”, 4^th European Workshop on Structural Health Monitoring, T. Uhl, W. Ostachowicz and J. Holnicki-Szulc (Eds), DEStech Publications, Inc., pp. 259-266.
154. Ntotsios E. and Papadimitriou C. (2008). “Multi-Objective Optimization Framework for Finite Element Model Updating and Response Prediction Variability”, Inaugural International Conference of the Engineering Mechanics Institute (EM08), University of Minnesota, May 18-21, 2008.
155. Gaitanaros, S., Karaiskos, G., Papadimitriou, C. and Aravas, N. (2007). “Crack Identification in Structures using Optimal Experimental Design.” 6^th International Workshop on Structural Health Monitoring, Fu Ko Chang (Ed), DEStech Publications, pp. 653-661.
156. Ntotsios, E., Christodoulou, K. and Papadimitriou, C. (2007). “Pareto Optimal Structural Models and Predictions Consistent with Data and Modal Residuals.” of the 21th Biennial ASME Conference on Mechanical Vibration and Noise, Las Vegas, Nevada, September 4-7, Paper No. DETC2007/VIB-35197, 8 pages.
157. Ntotsios, E., Christodoulou, K. and Papadimitriou, C. (2007). “Multi-Objective Framework for Structural Modeling Consistent with Data.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, D.C. Charmpis, N.D. Lagaros, Y. Tsompanakis (eds.), Rethymno, Crete, Greece, 13-16 June 2007.
158. Perros, K., Papadimitriou, C., Karamanos, S. and Panetsos, P. (2007). “Response and Reliability of Nonlinear Systems with Impact Subjected to Transient Excitations.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, D.C. Charmpis, N.D. Lagaros, Y. Tsompanakis (eds.), Rethymno, Crete, Greece, 13-16 June 2007.
159. Papadimitriou, C., Ntotsios, E., Christodoulou, K., Karamanos, S., Panetsos, P., Karakostas, and Lekidis, V. (2007). “Bridge Monitoring System based on Vibration Measurements.” ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, M. Papadrakakis, D.C. Charmpis, N.D. Lagaros, Y. Tsompanakis (eds.), Rethymno, Crete, Greece, 13-16 June 2007.
160. Lam, H.F., Ntotsios, E., Papadimitriou, C. (2007). “Optimal Experimental Design for Structural Health Monitoring Applications.” World Forum on Smart Material and Smart Structures Technology, Chongqing and Nanjing, China, 22-27 May 2007, in
161. Ntotsios, E., Christodoulou, K., Papadimitriou, C. (2006). “Optimal Experimental Design in Structural Dynamics.” 5^th International Conference on Computational Stochastic Mechanics, .Deodatis & P.D. Spanos (eds), 2007 Millpress, Rotterdam.
162. Ntotsios, E., Christodoulou, K., Papadimitriou, C. (2006). “Optimal Sensor Location Methodology for Structural Identification and Damage Detection.” 3^rd European Workshop on Structural Health Monitoring, Alfredo Guemes (Ed), DEStech Publications, pp. 1160-1167.
163. Panetsos, P., Lambropoulos, S., Papadimitriou, C., Karamanos, S., Lekidis, V. and Karakostas, C. (2006). “Bridge Health Monitoring for Egnatia Odos Bridge Management System.” 3^rd European Workshop on Structural Health Monitoring, Alfredo Guemes (Ed), DEStech Publications, pp. 356-363.
164. Christodoulou, K., Papadimitriou, C., Karamanos, A. (2005). “Multi-Objective Framework for Structural Identification.” International Conference of Structural Safety and Reliability (ICOSSAR’05), G. Augusti, G.I. Schueller, M. Ciampoli (Eds), Millpress, Rotterdam, pp. 2673-2680.
165. Vamvatsikos, D., K., Papadimitriou, C. (2005). “Optimal Multi-Objective Design of a Highway Bridge under Seismic Loading through Incremental Dynamic Analysis.” International Conference of Structural Safety and Reliability (ICOSSAR’05), G. Augusti, G.I. Schueller, M. Ciampoli (Eds), Millpress, Rotterdam, pp. 329-336.
166. Papadimitriou, C. and Christodoulou, K. (2005). “Bayesian Model Selection and Updating Applied to Structural Damage Identification.” International Conference of Structural Safety and Reliability (ICOSSAR’05), G. Augusti, G.I. Schueller, M. Ciampoli (Eds), Millpress, Rotterdam, pp. 2575-2582.
167. Ntotsios, E. and Papadimitriou, C. (2005). “Robust Reliability-Based Optimization of Uncertain Structures Subjected to Stochastic Loads.” 6^th International Conference on Structural Dynamics (EURODYN’05), C. Soize and G.I. Schueller (Eds), Paris, pp. 735-739.
168. Christodoulou, K. and Papadimitriou, C. (2005). “Structural Model Identification Using a Multi-Objective Framework.” 6^th International Conference on Structural Dynamics (EURODYN’05), C. Soize and G.I. Schueller (Eds), Paris, pp. 1887-1892.
169. Papadimitriou, C. and K. Christodoulou (2005). “A Bayesian Methodology for Estimating Optimal Weights and Optimal Structural Models Using Weighted Modal Residuals.” 5^th International Workshop on Structural Health Monitoring, Fu Ko Chang (Ed),DEStech Publications, pp. 590-597.
170. Christodoulou, K. and Papadimitriou, C. (2005). “A Bayesian Identification Methodology for Selection among Pareto Optimal Structural Models Using Modal Residuals.” of the 20th Biennial ASME Conference on Mechanical Vibration and Noise, Long Beach, California, September 24-28, Paper No. DETC2005-85300, 8 pages.
171. Papadimitriou, C. (2004). “Bayesian Inference Applied to Structural Model Updating and Damage Detection.” 9th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, Albuquerque, New Mexico.
172. Papadimitriou, C. and Ntotsios, E. (2004). “Robust Reliability-Based Optimization in Structural Dynamics Using Evolutionary Algorithms.” 9th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, Albuquerque, New Mexico.
173. Papadimitriou, C. (2004). “Bayesian Inference Applied to Structural Damage Detection.” 2^nd European Workshop on Structural Health Monitoring, C. Boller and W.J. Staszewski (Eds), DEStech Publications, pp. 575-582.
174. Karamanos, A., Papadimitriou, C., Christodoulou, Karakostas, C.Z., Lekidis, V.A. and Panetsos, P. (2004). “Multi-Objective Framework for Model Updating with Application to a
     Four-Span Concrete Bridge.” Proc. 2^nd European Workshop on Structural Health Monitoring, C. Boller and W.J. Staszewski (Eds), DEStech Publications, pp. 195-202.
175. Metallidis, P., Verros, G., Natsiavas, S. and Papadimitriou, C. (2004). Parametric Identification and Fault Detection in Vehicle Suspensions.” 2^nd European Workshop on Structural Health Monitoring, C. Boller and W.J. Staszewski (Eds), DEStech Publications, pp. 565-572.
176. Haralampidis, Y., Pavlidou, M. and Papadimitriou, C. (2003). “Multi-Objective Parameter Identification in Structural Dynamics.” of the 19th Biennial ASME Conference on Mechanical Vibration and Noise, Chicago, Illinois, September 2-6, Paper No. DETC2003/VIB-48493.
177. Karakostas, C.Z., Lekidis, V.A., Papadimitriou, K. (2003). “Seismic Response of instrumented R/C Buildings during the Athens (7-9-99) Aftershock Sequence.” Proceedings of the fib-Symposium on Concrete Structures in Seismic Regions (FIB2003), Athens, May 6-9, 2003, (CD-ROM).
178. Καρακώστας Χ.Ζ., Λεκίδης, Β.Α., Παπαδημητρίου Κ., Παυλίδου Μ., Ιγνατάκης Γ. & Δουδούμης Ν. “Σεισμική συμπεριφορά ενοργανωμένων κτιρίων Ο/Σ κατά τη μετασεισμική ακολουθία του σεισμού της Αθήνας.” 14^ο Εθνικό Συνέδριο Σκυροδέματος, Κως, 15-17 Οκτωβρίου 2003.
179. Λεκίδης, Β.Α., Καρακώστας Χ.Ζ., Σαλονικιός, Θ., Παπαδημητρίου Κ. & Καραμάνος, Σ. “Παρακολούθηση της σεισμικής συμπεριφοράς χαρακτηριστικών γεφυρών Ο/Σ του Ελληνικού χώρου.” 14^ο Εθνικό Συνέδριο Σκυροδέματος, Κως, 15-17 Οκτωβρίου 2003.
180. Karakostas, C.Z., Lekidis, V.A., Papadimitriou, C., Karamanos, S. Pavlidou, M. (2003). “System Identification and Analytical Investigation of the Dynamic Response of Instrumented Civil Engineering Structures.” 4^th Conf. On Earthquake Resistant Engineering Structures, Ancona, Italy.
181. Μπρέγιαννης, Γ, Ζιόγας, Σ., Βαλουγεώργης, Δ. και Παπαδημητρίου, Κ. (2003). “Μελέτη και επίβλεψη δικτύων σωληνώσεων ύδρευσης και άρδευσης.” 3^ο Συνέδριο Ανάπτυξης Θεσσαλίας, Λάρισα.
182. Breyiannis, G., Varoutis, , Papadimitriou, C. and Valougeorgis, D. (2003). “Design and Optimization of Gas Pipe Networks” 1^st Conference on Mathematics & Informatics for Industry, Thessaloniki, Greece.
183. Breyiannis, , Varoutis, S., Valougeorgis, D. and Papadimitriou, C. (2003). “An integrated algorithm for real time identification of water pipe networks” XXX IAHR Congress on Water Engineering and Research in a Learning Society: Modern Developments and Traditional Concepts, Thessaloniki, Greece.
184. Papadimitriou, C. (2002). “Optimal Instrumentation Strategies for Structural Identification.” Proc. 4^th Int. Conf. On Computational Stochastic Mechanics, P.D. Spanos and G. Deodatis (Eds), Millpress, pp. 463-472.
185. Aichouh, P. Theodosiou, C. Natsiavas, Papadimitriou, C. (2002). “Base Isolation of Unanchored Fluid-filled Tanks to Seismic Excitation.” Proc. 4^th Int. Conf. On Computational Stochastic Mechanics, P.D. Spanos and G. Deodatis (Eds), Millpress, pp. 627-634.
186. Aichouh, P. Theodosiou, C. Natsiavas, Papadimitriou, C. (2002). “Reliability Analysis of Unanchored Fluid-filled Tanks Subjected to Earthquake Excitation.” 4^th GRACM Congress on Computational Mechanics, Patras, Greece.
187. Papadimitriou, C., Pavlidou, M., Christodoulou, K. and Karamanos, S.A. (2002). “Optimal Sensor Optimal Sensor Configuration Methodology for Structural Identification.” 1^st European Workshop on Structural Health Monitoring, D.L. Balageas (Ed), DESteck Publications, pp. 153-160.
188. Pavlidou, M., Christodoulou, K., Karamanos, A. Papadimitriou, C., Perdikaris, P.C., Lekidis, V.A. and Karakostas, C.Z. (2002). “Model Updating of Bridges Using Vibration Measurements.” Proc. 1^st European Workshop on Structural Health Monitoring, D.L. Balageas (Ed), DESteck Publications, pp. 1107-1114.
189. Metallidis, P., Verros, G., Natsiavas, S. and Papadimitriou, C. (2002). “Identification and Fault Detection of Systems with Piecewise Linear Characteristics.” 1^st European Workshop on Structural Health Monitoring, D.L. Balageas (Ed), DESteck Publications, pp. 211-218.
190. Papadimitriou, C. (2002). “Applications of Genetic Algorithms in Structural Health Monitoring.” 5^th World Congress on Computational Mechanics, Vienna, Austria.
191. Karakostas, C.Z., Lekidis, V.A., Pavlidou, M. and Papadimitriou, C. (2002). “Analytical and Experimental Investigation of the Dynamic Behaviour of R/C Buildings during the Athens (7-9-99) Aftershock Sequence.” 12^th European Conference on Earthquake Engineering, Paper Reference 270.
192. Papadimitriou, , Poulakis, Z., and Valougeorgis, D. (2002). “Optimization, leakage detection and optimum sensor location in water pipe networks: I. Theory”, Training Workshop on Management and Modeling of Water Pipe Networks, Volos.
193. Poulakis, Z., Papadimitriou, C. and Valougeorgis, D. (2002). “Optimization, leakage detection and optimum sensor location in water pipe networks: II Applications”, Training Workshop on Management and Modeling of Water Pipe Networks, Volos.
194. Valougeorgis, D., Bersimis, D., Poulakis, Z. and Papadimitriou, C. (2002). “Design and optimization of pipe networks with compressible fluids”, Training Workshop on Management and Modeling of Water Pipe Networks, Volos.
195. Μπερσίμης, Δ., Πουλάκης, Ζ., Βαλουγεώργης, Δ. και Παπαδημητρίου, Κ. (2002) «Βελτιστοποίησης σχεδιασμού δικτύων σωληνώσεων συμπιεστών ρευστών» Δελτίο ΠΣΔΜ-Η, 351, 60-70.
196. Καρακώστας, Χ., Λεκίδης, Β., Παυλίδου Μ. and Παπαδημητρίου, Κ. (2001) “Σεισμική συμπεριφορά κατασκευών Ο/Σ κατά τη μετασεισμική ακολουθία του σεισμού της Αθήνας (7-9-99) – Αναλυτική και πειραματική διερεύνηση “, 2^ο Πανελλήνιο Συνέδριο Αντισεισμικής Μηχανικής και Τεχνικής Σεισμολογίας, Θεσσαλονίκη, 27-30 Νοεμβρίου, 2001.
197. Poulakis, Z. Valougeorgis, D., Papadimitriou, C. (2001). “Leakage Detection in Pipe Networks via an Optimal Sensor Location Strategy.” of the First National Conference of Recent Advances in Mechanical Engineering, (ASME International – Greek Section), Paper No. ANG1/P043.
198. Papadimitriou, C., Christodoulou, K., Pavlidou, M., Karamanos, S.A. (2001). “Optimal Sensor and Actuator Configuration for Structural Identification.” of the 18th Biennial ASME Conference on Mechanical Vibration and Noise, Pittsburgh, Pennsylvania, September 9-13, Paper No. DETC2001/VIB21399.
199. Metallidis, P., Verros, G., Natsiavas, S. and Papadimitriou, C. (2001). “Parametric Identification and Fault Detection in Vehicle Models with Nonlinear Suspensions.” of the 18th Biennial ASME Conference on Mechanical Vibration and Noise, Pittsburgh, Pennsylvania, September 9-13, Paper No. DETC2001/VIB21411.
200. Metallidis, P., Verros, G., Natsiavas, S. and Papadimitriou, C. (2001). “Vehicle Dynamics and Fault Detection in Vehicle Suspensions.” of 8th International Conference on Structural Safety and Reliability (ICOSSAR’01), Newport Beach, California, June 17-22.
201. Poulakis, Z. Valougeorgis, D. and Papadimitriou, C. (2001). “Health Monitoring of Pipe Networks Using a Probabilistic Framework.” of 8th International Conference on Structural Safety and Reliability (ICOSSAR’01), Newport Beach, California, June 17-22.
202. Papadimitriou, C. (2000). “Optimal Instrumentation Strategies for Structural Health Monitoring.” 14^th Engineering Mechanics Conference, ASCE, J. Tassoulas (Ed.), Austin, Texas.
203. Papadimitriou, C., Katafygiotis, L.S. and Karamanos, A. (2000). “Optimal Sensor Placement Strategies for Structural Damage Identification.” Proc. 8^th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, University of Notre Dame, Notre Dame, Indiana. CD-ROM Proceedings (Kareem, Haldar, Spencer, and Johnson, eds.), paper PMC2000-276, 8 pages.
204. Valougeorgis, D., Poulakis, Z. and Papadimitriou, C. (2000). “Cost Optimization of Piping Systems.” 5^th Conf of Protection and Restoration of the Environment, Thassos, Greece.
205. Karamanos A. and Papadimitriou C. (2000). “Sensitivity of Inelastic Tube Collapse on Initial Imperfections: A Probabilistic Approach.” Proc. 4^th Int. Colloquium on Computational Methods for Shell & Spatial Structures, Chania – Krete, Greece.
206. Katafygiotis, L.S. and Papadimitriou C. (2000). “Bayesian Methodology for Updating Structural Reliability Based on Health Monitoring Data.” 4^th Int. Colloquium on Computational Methods for Shell & Spatial Structures, Chania – Krete, Greece.
207. Beck, J.L., Irfanoglu, A., Papadimitriou, C. and Au, S.K. (2000). “A Performance-Based Optimal Design Methodology incorporating Multiple Criteria.” 12^th World Conference on Earthquake Engineering, New Zealand.
208. Papadimitriou, C., Katafygiotis, L.S. and Yuen, K.-V. (1999) “Optimal Instrumentation Strategies for Structural Health Monitoring Applications.” 2^nd International Workshop on Structural Health Monitoring, F-K. Chang (Ed), Technomic Publishing Co., Inc., pp. 543-552.
209. Beck, J.L., Papadimitriou, C. and Katafygiotis, L.S. (1999). “Updating Robust Reliability for Bridges Using Measured Vibration Data.” ICASP’99, Australia.
210. Katafygiotis, L.S., Papadimitriou, C., and Yuen, K. (1999). “An Optimal Sensor Location Methodology for Designing Modal Experiments.” 4^th International Conference of the European Association for Structural Dynamics (EURODYN’99), Prague.
211. Lutes, L.D. and Papadimitriou C. (1999). “Finding Response Cumulants for Nonlinear Systems with Multiplicative Excitations.” IUTAM Symposium on Nonlinearity and Stochastic Structural Dynamics, Madras, India.
212. Katafygiotis, L.S., Beck, J.L. and Papadimitriou, C. (1998). “Updating Structural Reliability Based on Dynamic Test Data.” 11^th European Conference on Earthquake Engineering, Balkema Publishers, Rotterdam, The Netherlands.
213. Beck, J.L. Irfanoglu, A., Chan, E. and Papadimitriou, C. (1998). “Performance-Based Optimal Design Under Seismic Risk.” 11^th European Conference on Earthquake Engineering, Balkema Publishers, Rotterdam, The Netherlands.
214. Au, S.K., Papadimitriou, C. and Beck, J.L. (1998). “Treatment of Multiple Design Points in Reliability Methods.” 4^th International Conference on Stochastic Structural Dynamics, Notre Dame, Indiana.
215. Beck, J.L. and Papadimitriou, C. (1998). “Improving Response and Reliability Predictions Using Measured Data.” 4^th International Conference on Stochastic Structural Dynamics, Notre Dame, Indiana.
216. Beck, J.L., Papadimitriou, C. and Katafygiotis, L.S. (1998). “A Bayesian Statistical Approach for Improving Structural Reliability Using Measured Data.” 3^rd International Conference on Computational Stochastic Mechanics, Santorini, Greece.
217. Beck, J.L., Katafygiotis, L.S., Papadimitriou, C. (1998). “A Probabilistic System Identification Methodology for Structural Reliability Predictions.” 12^th Engineering Mechanics Conference (ASCE), La Jolla, California.
218. Beck, J.L., Papadimitriou, C., Au, S.K. and Vanik, M.W. (1998). “Entropy-Based Optimal Sensor Location for Structural Damage Detection.” 5^th Annual Int. Symposium on Smart Structures and Materials – Smart Systems for Bridges. Structures and Highways, S.C. Liu (Ed), pp. 161-172.
219. Papadimitriou, C., Levine-West, M. and Milman, M. (1998). “Application of a Finite Element Model Updating Methodology on the IPEX-II Structure.” 16^th International Modal Analysis Conference, Santa Barbara, California, pp. 952-958.
220. Beck, J.L., Chan, E. and Papadimitriou, C. (1998). “Statistical Methodology for Optimal Sensor Locations for Damage Detection in Structures.” 16^th International Modal Analysis Conference, Santa Barbara, California, pp. 349-355.
221. Beck, J.L., Irfanoglu, A., Chan, E. and Papadimitriou C. (1998). “A Methodology for Performance-Based Optimal Structural Design.” 12^th Engineering Mechanics Conference (ASCE), La Jolla, California.
222. Beck, J.L., Papadimitriou, C. and Polidori, D. (1998). “Approximation of Probability Integrals with Applications to Reliability of Uncertain Dynamical Systems.” 12^th Engineering Mechanics Conference (ASCE), La Jolla, California.
223. Katafygiotis, L.S., Au, S-K. and Papadimitriou, C. (1998). “A Spectral-Representation-Based Simulation of Gaussian Random Fields.” 12^th Engineering Mechanics Conference (ASCE), La Jolla, California.
224. Katafygiotis, L.S., Lam, P. and Papadimitriou, C. (1997). “Probabilistic Model Updating Using Dynamic Data.” of 7th International Conference on Structural Safety and Reliability, Shiraishi, Shinozuka & Wen (Eds), Balkema Publishers, Rotterdam, The Netherlands, pp. 603-610.
225. Katafygiotis, L.S., Papadimitriou, C. and Au, S-K (1997). “Optimal Control of Structures: A Reliability-Based Approach.” of 7th International Conference on Structural Safety and Reliability, Shiraishi, Shinozuka & Wen (Eds), Balkema Publishers, Rotterdam, The Netherlands, pp. 999-1006.
226. Beck, J.L., Chan, E., Irfanoglu, A., Papadimitriou, C., Masri, S.F., Smith, H.A. and Tsugawa, T. (1997). “A Methodology for Reliability-Based Optimal Structural Design.” of 7th International Conference on Structural Safety and Reliability, Shiraishi, Shinozuka & Wen (Eds), Balkema Publishers, Rotterdam, The Netherlands, pp. 1113-1120.
227. Katafygiotis, L.S., Papadimitriou, C. and Tsarkov, Y. (1997). “On Stability of Linear Dynamical Systems with Small Markov Perturbations.” of 7th International Conference on Structural Safety and Reliability, Shiraishi, Shinozuka & Wen (Eds), Balkema Publishers, Rotterdam, The Netherlands, pp. 763-770.
228. Papadimitriou, C., Levine-West, M. and Milman, M. (1997) “Structural Damage Detection Using Modal Test Data.” International Workshop on Structural Health Monitoring: Current Status and Perspectives, F-K. Chang (Ed), Technomic Publishing Co., Inc., pp. 678-689.
229. Katafygiotis, L.S., Papadimitriou, C. and Lam H.F. (1997). “A Probabilistic Approach to Structural System Identification.” of Eighth International Conference on Soil Dynamics and Earthquake Engineering, A.S. Cakmak, M. Erdik and E. Durukal (Eds), pp. 198-199.
230. Katafygiotis, L.S., Malyarenko, A.A. and Papadimitriou, C. (1997). “Simulation of Stochastic Fields Modeling Seismic Ground Motions.” of Eighth International Conference on Soil Dynamics and Earthquake Engineering, A.S. Cakmak, M. Erdik and E. Durukal (Eds), pp. 20-21.
231. Papadimitriou, C., Levine-West, M. and Milman, M. (1997). “A Methodology for Finite Element Model Updating Using Modal Data.” of 11th VPI&SU Symposium on Structural Dynamics and Control, Blacksburg, Virginia.
232. Beck, J.L., Papadimitriou, C., Chan, E. and Irfanoglu, A. (1996). “Reliability-Based Optimal Design Decisions in the Presence of Seismic Risk.” of Eleventh World Conference on Earthquake Engineering, Elsevier Science Ltd., Paper No. 1058.
233. Papadimitriou, C. and Katafygiotis, L.S. (1996). “Response Statistics and Reliability of Uncertain Nonlinear Systems Subjected to Random Loads.” of Eleventh World Conference on Earthquake Engineering, Elsevier Science Ltd., Paper No. 955.
234. Papadimitriou, C., Katafygiotis, L.S. and Lutes, L.D. (1996). “Response Cumulants of Nonlinear Systems Subject to External and Multiplicative Excitations.” of 7th ASCE Specialty Conf. on Probab. Mech. and Struct. Reliability, D.M. Frangopol and M.D. Grigoriu (Eds), ASCE, NY, pp. 744-747.
235. Papadimitriou, C., Beck, J.L. and Katafygiotis, L.S. (1996). “Asymptotic Approximation of Reliability Integrals for Uncertain Systems.” of ASCE 7th Specialty Conf. on Probab. Mech. and Struct. Reliability, D.M. Frangopol and M.D. Grigoriu (Eds), ASCE, NY, pp. 574-577.
236. Lutes, L.D. and Papadimitriou, C. (1995). “Stochastic Response Cumulants for Nonlinear Systems.” of Third International Conference on Stochastic Structural Dynamics, H. Davoodi and A. Saffar (eds), pp. 3.15-3.22.
237. Papadimitriou, C. and Lutes, L.D. (1994). “On the Computation of Higher Response Cumulants of MDOF Structures.” of Second International Conference on Computational Stochastic Mechanics, P.D. Spanos (Ed.), A.A. Balkema Publishers, Rotterdam, The Netherlands, pp. 387-394.
238. Papadimitriou, C. and Beck, J.L. (1992). “Nonstationary Response Characteristics of Linear MDOF Systems.” of the Ninth Engineering Mechanics Conference, ASCE, L.D. Lutes and J.M. Niedzwecki (Eds), ASCE, NY.
239. Papadimitriou, C., Katafygiotis, L.S. and Wang, B. (1993). “Approximate Analysis of Response Statistics of Uncertain MDOF Linear Systems.” of 6th International Conference on Structural Safety and Reliability, A.A. Balkema Publishers, Rotterdam, The Netherlands.
240. Papadimitriou, C. and Beck, J.L. (1992). “Stochastic Characterization of Ground Motion and Applications to Structural Response.” of Tenth World Conference on Earthquake Engineering, Balkema/Rotterdam/Brookfield Publishers, Vol. 2, pp. 835-838.
241. Papadimitriou, C. Beck, J.L. (1991). “Approximate Analysis of Nonstationary Random Vibrations of MDOF Systems.” Computational Stochastic Mechanics, P.D. Spanos and A. Brebbia (Ed.), Elsevier Science, New York, pp. 371-382.
242. Papadimitriou, C. and Beck, J.L. (1990) “Nonstationary Stochastic Characterization of Strong-Motion Accelerograms.” of Fourth U.S. Conference on Earthquake Engineering, EERI, El Cerrito, California, Vol. I, pp. 477-486.

Research Reports

1. Beck, J.L., Papadimitriou, C., Chan, E. and Irfanoglu, A. (1997). “A Performance-Based Optimal Structural Design Methodology.” Report No. EERL 97-03, California Institute of Technology, Pasadena, CA.
2. Papadimitriou, C., Beck, J.L. and Katafygiotis, J.L. (1995). “Asymptotic Expansions for Reliability and Moments of Uncertain Dynamic Systems.” Report No. EERL 95-05, California Institute of Technology, Pasadena, CA.
3. Papadimitriou, C. (1990). “Stochastic Characterization of Strong Ground Motion and Applications to Structural Response.” Report No. EERL 90-03, California Institute of Technology, Pasadena, CA.

CURRENT AND FORMER POSTDOCTORAL FELLOWS

1. F. Filippitzis (Oct. 2021-Aug. 2022), Bridge Monitoring and Virtual Sensing using Physical Sensing On-Board Traversing Vehicles.
   Current Position: Software Development Engineer, Altair, Thessaloniki, Greece.
2. C. Argyris (July–Dec. 2017), Data-Driven Uncertainty Quantification for Engineering Systems.
   Current Position: Software Engineer, The Mathworks, Buss. Park,Cambridge, UK.
3. S. Eftekhar Azam (Jan. 2014 – Sept 2015), Response and Fatigue Predictions in Structures using Kalman-type Filters and Limited Number of Vibration Measurements.
   Current Position: Assistant Professor, Dept. of Civil and Environmental Engineering, University of New Hampshire.
4. D. Papadimitriou (June 2012 –  May 15), Robust Aero-structural Optimization based on New Higher-Order Adjoint Methods.
   Current Position: Senior CFD Technical Specialist – Optimization at Altair, USA; & Postdoctoral Fellow, Oakland University, Michigan, USA.
5. P. Angelikopoulos (2012 – 2015), Uncertainty Quantification and Propagation for Molecular Dynamics Simulations and Nanotechnology, Visitor from ETH-Zurich (Supervising jointly with Prof. Petros Koumoutsakos).
   Current Position (Jan. 2016 – present): Research Scientist, DE Shaw Research, New York, USA.

CURRENT AND FORMER DOCTORAL STUDENTS

1. Hongyi Liang (in progress since Sept 2025), Probabilistic Methods for Uncertainty Quantification in Engineering Systems, 4-Years PhD funded by China Scholarship Council (CSC).
2. Troussas (in progress since April 2022), Digital Twins for Condition Monitoring of Complex Engineering Networks. Diploma Thesis: Bayesian Optimal Experimental Design for Leakage Detection in Water Distribution Networks http://hdl.handle.net/11615/54291
3. Vogiatzoglou (in progress since Sept. 2022), Data-Informed Digital Twin for Wildfire Spreading Management.

Diploma Thesis: Model of a Wildfire Spreading https://ir.lib.uth.gr/xmlui/handle/11615/59664

4. Ercan (completed 2022), Bayesian Optimal Experimental Design Tools. https://doi.org/10.12681/eadd/51842

Current Position: Civil/Earthquake Engineer, Train – Rail Infrastructure Solutions (T-RIS) Ltd., UK.

5. Jia (completed 2021), Bayesian Tools for Uncertainty Quantification and Propagation in Structural Dynamics Simulations. https://doi.org/10.12681/eadd/50427

Current Position: Asst. Professor, Hebei University of Technology (Hebut), China;

6. C. Argyris (completed 2017), Bayesian Uncertainty Quantification and Optimal Experimental Design in Data-Driven Simulations of Engineering Systems. http://hdl.handle.net/10442/hedi/41258

Current Position: Software Engineer, The Mathworks, Buss. Park,Cambridge, UK.

7. -C. Papadioti, (completed 2015), Management of uncertainties in structural response and reliability simulations using measured data. https://doi.org/10.12681/eadd/36144

Current Position (2018 – present): Water Supply and Sewerage Company, Thessaloniki.

8. Karaiskos, (completed 2011), Experimental Verification of Active Vibration Control of Structures using Jet Pulses. https://doi.org/10.12681/eadd/22939

Current Position: Mechanical Maintenance Engineer, Imerys,

9. Perros (completed 2010), Design Optimization of Structures Subjected to Stochastic Excitations. http://hdl.handle.net/11615/42712

Current Position: EKAB (IT Services and IT Consulting);

10. Ntotsios (completed 2009), Methods for Identifying Models of Complex Structures using Information from Measured Vibrations. http://hdl.handle.net/11615/43025

Current Position: Research Fellow in Dynamics Group, & Enterprise Fellow at ISVR Consulting, University of Southampton, UK.

11. Christodoulou (completed 2006), Development of Damage Detection and Identification Methodology.

Current Position: Mechanical Engineer, Technical Service Department, Prefecture of Magnesia, Volos, Greece.

DOCTORAL THESIS CO-SUPERVISING

1. Menghao Ping, (2020-2021), Visiting PhD students from College of Mechanical and Vehicle Engineering, Hunan University (advisor: Professor Xu Han), Funded from China Scholarship Council.
2. Teymouri (2019-2023), Uncertainty quantification and propagation of large-scale civil infrastructures using monitoring data, Dept. of Civil and Environmental Engineering, Hong Kong University of Science and Technology – HKUST (Co-supervising with Prof. L. Katafygiotis)
3. Kosikova (2018-Sept 2022), Quantification of Uncertainties and Response Predictions Based on Bayesian Inference Models. Dept. of Civil and Environmental Engineering, Hong Kong University of Science and Technology – HKUST (visited UTH Febr 1 – July 25, 2022), (Co-supervising with Prof. L. Katafygiotis)
4. Flores Terrazas (2018-Sept. 2022), A Bayesian Framework for Uncertainty Quantification and Propagation in Multiaxial Fatigue Monitoring and Reliability Assessment. Dept. of Civil and Environmental Engineering, Hong Kong University of Science and Technology – HKUST (visiting UTH June – August 2019, July 2022), (Co-supervising with Prof. L. Katafygiotis)
5. Sedehi (2017-2019), Data-driven Uncertainty Quantification and Propagation in Structural Dynamics Inverse Problems, Dept. of Civil and Environmental Engineering, Hong Kong University of Science and Technology – HKUST (visiting UTH June – August 2017), (Co-supervising with Prof. L. Katafygiotis). 10.14711/thesis-991012752654903412

COLLABORATION WITH DOCTORAL STUDENTS AND POSTDOCS OUTSIDE THE UTH GROUP (2010-present)

1. Ana Fernandez-Navamuel (summer 2025), Input-State Estimation using Physics-Informed Machine Learning, Visiting Postdoctoral fellow during Summer 2025 (1 ½ months) from Basque Center for Applied Mathematics.
2. (Jason) Ho Man Siu (2022 – present; PhD Student) Traversing Vehicles as Health Diagnostic Tools for Bridges, Visiting PhD student during Summer 2023, 2024 and 2025 (2 ½ months / year) from of Civil and Environmental Engineering, Hong Kong University of Science and Technology – HKUST (Supervisor: Prof. Elias Dimitrakopoulos), 1 joint journal paper.
3. Bagirgan (2022 – 2023; PhD student), Iterative Optimal Sensor Placement for Adaptive Structural Identification using Mobile Sensors, Tufts University, Collaboration through Skype (Supervisor: Prof. B. Moaveni), 1 joint journal publication.
4. Mehrjoo (2021-2023; PhD student), Optimal Sensor Placement for Parameter Estimation and Virtual Sensing on Offshore Wind Turbines, Tufts University, Collaboration through Skype (Supervisor: Prof. B. Moaveni), 2 joint journal publications.
5. Sedehi (2019-2023), Batch and Sequential Bayesian Learning for Data-Driven Uncertainty Quantification in Structural Dynamics, Dept. of Civil and Environmental Engineering, Hong Kong University of Science and Technology – HKUST (Co-supervising with Prof. L. Katafygiotis), several joint journal publications
6. Verna (2015-18; Postdoc), Optimal Sensor Placement for Artificial Swimmers. Collaboration during my visits in ETH Zurich (Supervisor: Prof P. Koumoutsakos), 2 joint journal publication.
7. Nora Luthen (2017-18; PhD student), Optimal Distribution of Sensory Cells in Fish Lateral Line. Collaboration during my visits in ETH Zurich (Supervisor: Prof. P. Koumoutsakos), 1 joint journal publication.
8. Song (2017; PhD student), Hierarchical Bayesian Modelling in Structural Dynamics, Tufts University, Collaboration through Skype (Supervisor: Prof. B. Moaveni), 2 joint journal publications.
9. Ebrahimian (2016-2017; PhD student), Bayesian Optimal Estimation for Output-only Nonlinear Systems. Collaboration through Skype, UCSD (Supervisor: Prof. J. Conte), 1 journal publication.
10. Behmanesh (2015-2016; PhD student), Bayesian UQ and Hierarchical Bayesian Modelling for Structural Dynamics, Tufts University, Collaboration through Skype (Supervisor: Prof. B. Moaveni), 3 joint journal publications,
11. Larson (2016-2018), Bayesian Uncertainty Quantification in Biological Models, Department of Applied Mechanics, Brown University, Collaboration through Skype (Supervisor: Professor Tasos Matzavinos), 2 joint journal publications.
12. Wu (2016-17; Postdoc), Hierarchical Bayesian Modelling for MD simulations. Collaboration during my visits in ETH Zurich (Supervisor: Prof P. Koumoutsakos), 3 joint journal publications.
13. Kulakova (2014-17; PhD student), Bayesian Uncertainty Quantification for Large-Scale Applications in Engineering and Life Sciences. Collaboration during my visits in ETH Zurich (Supervisor: Prof P. Koumoutsakos), 1 joint journal publication.
14. Papaioannou, I. (Sept. – Oct. 2013; Researcher), Sequential Importance Sampling for Structural Reliability, Research Associate, Visiting UTH from Technische Universität München, 1 joint journal publication.
15. Simoen (April – June 2012; PhD student), On Prediction Error Correlation in Bayesian Model Updating, Visiting UTH from K.U.Leuven (Supervisor: Prof G. Lombaert), 1 joint journal publication.
16. -M. Lourens (2010; PhD), Joint Input-State Estimation for Structural Systems. Collaboration during my Sabbatical leave to K.U.Leuven (Supervisor: Prof G. Lombaert), 1 joint journal publication.

SEMI-PLENARY / KEYNOTE / INVITED LECTURES

Plenary (PL) and Semi-Plenary (SPL) Lectures

1. PL: Hierarchical Bayesian Inference framework for uncertainty quantification and reliability assessment of dynamical systems. International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2025), June 15 – 18, 2025, Rhodes, Greece (invited).
2. SPL: Bayesian Optimal Experimental Design Framework for Data-Driven Uncertainty Quantification of Dynamical Systems. 14^th International Conference on Vibration Problems (ICOVP 2019), 1-4 September, 2019, Crete, Greece.
3. SPL: Hierarchical Bayesian Modelling Framework for Data-Driven Uncertainty Quantification in Engineering Simulations. International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24 – 26, 2019, Crete, Greece.
4. SPL: Computational Challenges in Bayesian Uncertainty Quantification of Large-Order Models. International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015), May 25 – 27, 2015, Crete Island, Greece.
5. SPL: Bayesian Uncertainty Quantification and Propagation in Structural Dynamics. EURODYN 2014, June 30 – July 2, 2014, Porto, Portugal.

Keynote Lectures

6. Hierarchical Bayesian modelling for quantifying and propagating uncertainties in engineering simulations. 1st International Workshop on Bayesian Approach in Civil Engineering (IWOBA 2025), Jan. 10-12, 2025, Hong Kong.
7. Bayesian Framework for Data-Driven Uncertainty Quantification in Engineering Simulations. U.Leuven, Department of Civil Engineering, May 25, 2019.
8. Data-driven Bayesian Uncertainty Quantification and propagation in Structural Dynamics. Workshop on Interface of Models, Algorithms and Data, July 17-18, 2018, IACM-FORTH, Heraklion, Crete, Greece.
9. Challenges in Bayesian Uncertainty Quantification and Propagation for Structural Dynamics Simulations. Frontiers of Uncertainty Quantification in Engineering (FrontUQ), Sept. 6-8, 2017, Munich Germany.
10. Information-Driven Modelling of Structures using a Bayesian Framework. 7^th Conf. on Experimental Vibration Analysis for Civil Engineering Structures (EVACES2017), July 12-14, 2017, San Diego, California.
11. Bayesian Uncertainty Quantification in Molecular Dynamics Simulations. ECCOMAS 2012, Vienna September 10-15, 2012.
12. Bayesian Uncertainty Quantification and Propagation in Structural Dynamics Simulations using Monitored Data. 6th International ASRANet Conference for Integrating Structural Analysis, Risk and Reliability, London, Croydon (UK), 2-4 July, 2012.
13. Finite Element Model Validation and Predictions using Dynamic Reduction Techniques. ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2011), Corfu, Greece, 25-28 May, 2011.
14. Structural Model Updating using Vibration Measurements. ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2009), Rhodes, Greece, 22-24 June, 2009.
15. Multi-Objective Framework for Structural Modeling Consistent with Data. ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2007), Rethymno, Crete, Greece, 13-16 June 2007.

Invited Lectures

16. Hierarchical Bayesian modelling for uncertainty quantification and reliability assessment in structural dynamics, University of Macau, State Key Laboratory of Internet of Things for Smart City, 8, 2025.
17. Hierarchical Bayesian inference framework for uncertainty quantification and reliability assessment in structural dynamics, Hong Kong University of Science and Technology, Jan. 9, 2025.
18. Hierarchical Bayesian modelling for uncertainty quantification and propagation in structural dynamics, Keynote Lecture, National Rail Transit Electrification and Automation Engineering Technology Research Center, Polytechnic Hong Kong (Hon Kong Branch), The Kong Kong Polytechnic University, Dec. 9, 2022.
19. Hierarchical Bayesian modelling for quantifying and propagating uncertainties in engineering simulations, Distinguished Lecture Series: Dealing with Uncertainties in Structural Vibrations and Health Monitoring, University of Macau, State Key Laboratory of Internet of Things for Smart City, 29, 2022.
20. Challenges in quantifying and assessing information from structural health monitoring, DIDIS Workshop, TUM Institute for Advanced Study Online Speaker Series: Frontiers in monitoring-supported decision making for structures and infrastructures, https://www.ias.tum.de/event-pages/didis-workshop/program/, Presentor with Geert Lombaert, July 8, 2021.
21. Use of Structural health Monitoring in Condition Assessment of Bridges: Potential & Challenges, IABSE Webinar, Use of Structural health Monitoring in Condition Assessment of Bridges: Potential & Challenges – YouTube, Presentor with Dr. P. Panetsos, Febr. 12, 2021.
22. Bayesian Framework for Data-Driven Uncertainty Quantification in Engineering Simulations. U.Leuven, Department of Civil Engineering, May 25, 2019.
23. Data-driven Bayesian Uncertainty Quantification and propagation in Structural Dynamics. Workshop on Interface of Models, Algorithms and Data, July 17-18, 2018, IACM-FORTH, Heraklion, Crete, Greece.
24. Bayesian Framework for Uncertainty Quantification in Structural Dynamics Simulations. Distinguished Guest Series, Clemson University, Glenn Department of Civil Engineering, February 27, 2017, USA.
25. Data-Driven Uncertainty Quantification in Structural Dynamics Simulations. Institute of Sound and Vibration Research (ISVR), University of Southampton, March 31, 2016, Southampton, UK.
26. Bayesian Uncertainty Quantification Framework for Complex Models in Structural Dynamics. Distinguished CECE Seminar Series, University of Central Florida, Department of Civil, Environmental, and Construction Engineering, February 2, 2015, USA.
27. Bayesian Uncertainty Quantification and Propagation in Structural Dynamics Simulations using Vibration Measurements. EPFL, School of Architecture, Civil and Environmental Engineering, March 27, 2015, Switzerland.
28. Model Identification and Finite Element Model Updating of Metsovo Bridge. DAAD DeGrieLab Summer School (Hybrid and Virtual Experimentation for Infrastructure Lifecycle Maintenance and Natural Hazard Resilience), May 11, 2015, Aristotle University, Thessaloniki, Greece.
29. Computationally Efficient Tools for Bayesian Model Selection and Parameter Estimation in Structural Dynamics. Santa Maria University (Chile), November 2014, Chile.
30. Bayesian Uncertainty Quantification for Structural Dynamics Simulations. Caltech, February 2014, Pasadena, USA.
31. Bayesian Uncertainty Quantification and Propagation in Structural Dynamics Simulations. Bauhaus Summer School 2014, Forecast Engineering: Global climate change and the challenges of the built environment, ERASMUS Lifelong Learning Programme – Intensive Programmes (IP), Weimar, August, 18-29, 2014.
32. Bayesian Uncertainty Quantification in Structural Dynamics Simulations using High Performance Computing Techniques. Bayesian Workshop, March 21-22; and Short Course on Mid-Frequency Methods for Vibration and Acoustics, March 22-23; Southampton, UK, 2012.
33. Optimal Sensor Placement for Parameter Estimation in Dynamic System. Session G-1 – Advances in Smart Materials/Sensors/Actuators/MEMS/NEMS of Symposium G “Emboding Intelligence in Structures and Integrated Systems” of the 4^th International Conference on “Smart Materials, Structures and Systems”, Montecatini Terme, Italy, June 10-15, 2012.
34. Finite Element Model Validation and Predictions using Dynamic Reduction Techniques. OPTEC Seminars on Optimization in Engineering, K.U. Leuven, September 29, 2010.
35. Optimization Algorithms for System Integration. Session C-2 Integration Technologies of Sympocium C “Emboding Intelligence in Structures and Integrated Systems” of the 3^rd International Conference on “Smart Materials, Structures and Systems,” Acireale, Sicily, Italy, June 8-13, 2008.
36. Optimal Experimental Design for Structural Identification and Response Predictions. of Civil Engineering, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile, August 2003.
37. Optimal Sensor and Actuator Methodology for Structural Identification. I of Fundamental Technological Research (IPPT), Polish Academy of Sciences (PAN), Warsaw, January 2003.
38. Statistical Model Updating and Damage Detection Methodology. of Dynamics of Complex Systems (DDCS), IPPT-PAN, Warsaw, January 2003.
39. Modal Model Identification in Structural Dynamics with Applications. DDCS-IPPT, Warsaw, January 2003.
40. Methodology for Updating Robust Reliability using Measured Dynamic Data. DDCS-IPPT, Warsaw, February 2003.
41. Applications of Genetic Algorithms in Structural Health Monitoring. Session on “Computational Methods in Stochastic Mechanics and Reliability Analysis II” of 5^th World Congress on Computational Mechanics, Austria, 2002.
42. Health Monitoring of Pipe Networks Using a Probabilistic Framework. 8th International Conference on Structural Safety and Reliability (ICOSSAR’01), Newport Beach, California, 2001
43. Modal Identification and Model Updating in Structural Dynamics. Institute of Engineering Seismology and Earthquake Engineering (ΙΤΣΑΚ), Thessaloniki, 2000
44. Optimal Sensor Location Methodology for Structural Model Updating. Department of Civil and Environmental Engineering, UCLA, 1999
45. Methodology for Optimal Sensor Locations for Model Parameter Identification in Structures. Division of Engineering and Applied Science, Caltech, 1998
46. Structural Model Updating Software Development in IMOS (Integrated Modelling of Optical Systems). Jet Propulsion Laboratory (JPL-NASA), Pasadena, 1997
47. Stochastic Response Characteristics of Structures Subjected to Earthquake Excitation. Department of Civil Engineering, Texas A&M University, 1990

Invited Lectures at National Level (Greece)

48. Bridge Health Monitoring using Vibration Measurements. National Workshop on Bridge Maintenance and Repair, Athens, Greece, 29 January 2013.
49. Methods and Software for Health Monitoring of Bridges using Vibration Measurements. Workshop on Earthquake Protection of Bridges, Thessaloniki, Greece, 13 February
50. Identification of the Dynamic Characteristics of Structures based on Vibration Measurements. Workshop on Seismic Risk and Upgrading of Structures, Agrinio, 22-23 February,
51. Optimization, Leakage Detection, and Optimum Sensor Location in Water Pipe Networks: I. Theory. Training Workshop on Management and Modeling of Water Pipe Networks, Volos, 2002.

Conference Presentation

More than 200 presentations in international conferences

For open PHd Positions follow the link: Open PhD Positions

Professor Costas Papadimitriou
System Dynamics Laboratory
Department of Mechanical & Industrial Engineering
University of Thessaly
Pedion Areos
Volos 38334
Greece
Tel.: +30 24210 74006
Fax: +30 24210 74012
Email: costasp@uth.gr