Probabilistic analysis, uncertainty quantification, reliability, risk analysis, decision making under uncertainty, stochastic optimal control, reinforcement learning, system identification, state estimation, model updating, wind turbines, resilience, asset management
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Recent Publications
Deep belief Markov models for POMDP inference
Arcieri, G., Papakonstantinou, K. G., Straub, D. & Chatzi, E., Apr 2026, In: Neural Networks. 196, 108386.Research output: Contribution to journal › Article › peer-review
District-level bridge networks management with multi-agent reinforcement learning: from theory to real-world application
Bhattacharya, A., Saifullah, M. & Papakonstantinou, K. G., 2025, In: Structure and Infrastructure Engineering. 21, 11-12, p. 2064-2082 19 p.Research output: Contribution to journal › Article › peer-review
Optimal life-cycle adaptation of coastal infrastructure under climate change
Bhattacharya, A., Papakonstantinou, K. G., Warn, G. P., McPhillips, L., Bilec, M. M., Forest, C. E., Hasan, R. & Chavda, D., Dec 2025, In: Nature communications. 16, 1, 1076.Research output: Contribution to journal › Article › peer-review
A direct importance sampling-based framework for rare event uncertainty quantification in non-Gaussian spaces
Eshra, E., Papakonstantinou, K. G. & Nikbakht, H., Dec 2025, In: Reliability Engineering and System Safety. 264, 111200.Research output: Contribution to journal › Article › peer-review
Gradient-Free Importance Sampling Scheme for Efficient Reliability Estimation
Eshra, E. & Papakonstantinou, K. G., Dec 1 2025, In: Journal of Engineering Mechanics. 151, 12, 04025076.Research output: Contribution to journal › Article › peer-review
Quadratic point estimate method for probabilistic moments computation
Ko, M. & Papakonstantinou, K. G., Jan 2025, In: Probabilistic Engineering Mechanics. 79, 103705.Research output: Contribution to journal › Article › peer-review
Valuing Imperfect Information from Inspection and Sensing in Condition-Based Roadway Pavement Management with Partially Observable Conditions
Zhou, W., Miller-Hooks, E., Papakonstantinou, K. G., Hu, P., Kamranfar, P., Lattanzi, D., Stoffels, S. & McNeil, S., Jun 1 2025, In: Journal of Transportation Engineering Part B: Pavements. 151, 2, 04025018.Research output: Contribution to journal › Article › peer-review
POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance
Arcieri, G., Hoelzl, C., Schwery, O., Straub, D., Papakonstantinou, K. G. & Chatzi, E., Oct 2024, In: Machine Learning. 113, 10, p. 7967-7995 29 p.Research output: Contribution to journal › Article › peer-review
Monitoring-supported value generation for managing structures and infrastructure systems
Kamariotis, A., Chatzi, E., Straub, D., Dervilis, N., Goebel, K., Hughes, A. J., Lombaert, G., Papadimitriou, C., Papakonstantinou, K. G., Pozzi, M., Todd, M. & Worden, K., Nov 4 2024, In: Data-Centric Engineering. 5, e27.Research output: Contribution to journal › Review article › peer-review
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems
Arcieri, G., Hoelzl, C., Schwery, O., Straub, D., Papakonstantinou, K. G. & Chatzi, E., Nov 2023, In: Reliability Engineering and System Safety. 239, 109496.Research output: Contribution to journal › Article › peer-review
Determining desired sorbent properties for proton-coupled electron transfer-controlled CO2 capture using an adaptive sampling-refined classifier
Boualavong, J., Papakonstantinou, K. G. & Gorski, C. A., Jun 15 2023, In: Chemical Engineering Science. 274, 118673.Research output: Contribution to journal › Article › peer-review
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
Morato, P. G., Andriotis, C. P., Papakonstantinou, K. G. & Rigo, P., Jul 2023, In: Reliability Engineering and System Safety. 235, 109144.Research output: Contribution to journal › Article › peer-review
Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems
Papakonstantinou, K. G., Nikbakht, H. & Eshra, E., Oct 2023, In: Probabilistic Engineering Mechanics. 74, 103485.Research output: Contribution to journal › Article › peer-review
Large-Scale Wildfire Mitigation Through Deep Reinforcement Learning
Altamimi, A., Lagoa, C., Borges, J. G., McDill, M. E., Andriotis, C. P. & Papakonstantinou, K. G., Jul 5 2022, In: Frontiers in Forests and Global Change. 5, 734330.Research output: Contribution to journal › Article › peer-review
Scaled Spherical Simplex Filter and State-Space Damage-Plasticity Finite-Element Model for Computationally Efficient System Identification
Amir, M., Papakonstantinou, K. G. & Warn, G. P., Feb 1 2022, In: Journal of Engineering Mechanics. 148, 2, 04021138.Research output: Contribution to journal › Article › peer-review