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Costas Papadimitriou

Costas Papadimitriou

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
10490
World Ranking
3622
National Ranking
28

Overview

Costas Papadimitriou is affiliated with the University Of Thessaly in Greece and has a strong focus on engineering research, particularly in civil and structural engineering. Their scholarly output spans several interconnected subfields including statistics, probability and uncertainty, control and systems engineering, mechanical engineering, and mechanics of materials.

The research topics reflected in their work cover a variety of areas, notably structural health monitoring techniques, probabilistic and robust engineering design, fault detection and control systems, infrastructure maintenance and monitoring, ultrasonics and acoustic wave propagation, COVID-19 epidemiological studies, and concrete corrosion and durability.

Among recent publications authored or co-authored by Costas Papadimitriou are:

  • Adaptive Kalman filters for nonlinear finite element model updating, 2020, Mechanical Systems and Signal Processing
  • Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features, 2022, Mechanical Systems and Signal Processing
  • Nonlinear model updating through a hierarchical Bayesian modeling framework, 2022, Computer Methods in Applied Mechanics and Engineering
  • Hierarchical Bayesian operational modal analysis: Theory and computations, 2020, Mechanical Systems and Signal Processing
  • Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview, 2020, Sensors

Frequent co-authors include:

  • Omid Sedehi
  • Lambros S. Katafygiotis
  • Xinyu Jia
  • Babak Moaveni
  • Tulay Ercan

Their work has been published in various venues, prominently in:

  • Mechanical Systems and Signal Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • EURODYN
  • SSRN Electronic Journal

The profile of Costas Papadimitriou reveals a multidisciplinary approach towards engineering problems, heavily grounded in statistical and probabilistic methods for structural modeling and monitoring. The combination of frequent collaborations with fellow researchers and publications in both domain-specific journals and broader repositories indicates active engagement with the academic community.

Best Publications

  • Optimal sensor placement methodology for parametric identification of structural systems

    C. Papadimitriou

  • A dual Kalman filter approach for state estimation via output-only acceleration measurements

    Saeed Eftekhar Azam;Eleni Chatzi;Costas Papadimitriou

  • Entropy-Based Optimal Sensor Location for Structural Model Updating

    Costas Papadimitriou;James L. Beck;Siu-Kui Au

  • Updating robust reliability using structural test data

    Costas Papadimitriou;James L. Beck;Lambros S. Katafygiotis

  • Asymptotic Expansions for Reliability and Moments of Uncertain Systems

    Costas Papadimitriou;James L. Beck;Lambros S. Katafygiotis

  • Design Optimization of Quarter-car Models with Passive and Semi-active Suspensions under Random Road Excitation:

    G. Verros;S. Natsiavas;C. Papadimitriou

  • Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

    E. Lourens;C. Papadimitriou;C. Papadimitriou;S. Gillijns;E. Reynders

  • Hierarchical Bayesian model updating for structural identification

    Iman Behmanesh;Babak Moaveni;Geert Lombaert;Costas Papadimitriou

  • Leakage detection in water pipe networks using a Bayesian probabilistic framework

    Z. Poulakis;D. Valougeorgis;C. Papadimitriou

  • Sequential importance sampling for structural reliability analysis

    Iason Papaioannou;Costas Papadimitriou;Daniel Straub

  • The effect of prediction error correlation on optimal sensor placement in structural dynamics

    Costas Papadimitriou;Geert Lombaert

  • Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering

    Costas Papadimitriou;Claus-Peter Fritzen;Peter Kraemer;Evangelos Ntotsios

  • Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework.

    Panagiotis Angelikopoulos;Costas Papadimitriou;Petros Koumoutsakos

  • Component mode synthesis techniques for finite element model updating

    Costas Papadimitriou;Dimitra-Christina Papadioti

  • On prediction error correlation in Bayesian model updating

    Ellen Simoen;Costas Papadimitriou;Geert Lombaert

  • A probabilistic approach to structural model updating

    Lambros S. Katafygiotis;Costas Papadimitriou;Heung Fai Lam

  • Experimental validation of the Kalman-type filters for online and real-time state and input estimation:

    Saeed Eftekhar Azam;Eleni Chatzi;Costas Papadimitriou;Andrew Smyth

  • Pareto optimal sensor locations for structural identification

    Costas Papadimitriou

  • π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models

    P.E. Hadjidoukas;P. Angelikopoulos;C. Papadimitriou;P. Koumoutsakos

  • Structural identification based on optimally weighted modal residuals

    Konstantinos Christodoulou;Costas Papadimitriou

Frequent Co-Authors

Lambros S. Katafygiotis
Lambros S. Katafygiotis Hong Kong University of Science and Technology
James L. Beck
James L. Beck California Institute of Technology
Petros Koumoutsakos
Petros Koumoutsakos Harvard University
Eleni Chatzi
Eleni Chatzi ETH Zurich
Babak Moaveni
Babak Moaveni Tufts University
Siu-Kui Au
Siu-Kui Au Nanyang Technological University
Heung-Fai Lam
Heung-Fai Lam City University of Hong Kong
Claus-Peter Fritzen
Claus-Peter Fritzen University of Siegen
Joel P. Conte
Joel P. Conte University of California, San Diego

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