Kostas Papakonstantinou

AI Foundations

• Uncertainty quantification
• Decision making under uncertainty
• Stochastic control
• Partially Observable Markov Decision Processes
• Deep reinforcement learning
• Bayesian analysis
• MCMC and other sampling methods
• Optimization techniques
• Nonlinear filtering

Applied AI Research Thrusts

• Computational mechanics
• Asset management
• Infrastructure management
• Rare events quantification
• Damage detection
• Autonomous operations
• Model updating
• Dimensionality reduction

Externally Funded AI Projects

• CAREER: Optimal engineering decision-making under uncertainties for enhanced structural life-cycle, Funding Agency: NSF
• AI-enabled fiscally constrained life-cycle asset management for infrastructure systems, Funding Agency: USDOT-CIAMTIS
• Deep reinforcement learning for multi-asset infrastructure management incorporating traffic operations adaptations and control: Funding Agency: USDOT-CIAMTIS
• Strategic Prioritization and Planning for Multi-Asset Transportation Infrastructure Maintenance, Rehabilitation, and Improvements: Phase 2 - Data-driven Decisions from Continuous Monitoring: Funding Agency: USDOT-CIAMTIS

AI-Related Courses

• CE 566: Uncertainty and Reliability in Civil Engineering
• CE 597: Computational Analysis of Randomness in Engineering

Webpage

sites.psu.edu/kpapakon

Selected Recent Publications

1. A Scaled Spherical Simplex Filter (S3F) with a decreased n+2 sigma points set size and equivalent 2n+1 Unscented Kalman Filter (UKF) accuracy
   KG Papakonstantinou, M Amir, GP Warn
   Mechanical Systems and Signal Processing 163, 107433, 2022
2. Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
   CP Andriotis, KG Papakonstantinou
   Reliability Engineering & System Safety 212, 107551, 2021
3. Geometrically exact hybrid beam element based on nonlinear programming
   CM Lyritsakis, CP Andriotis, KG Papakonstantinou
   International Journal for Numerical Methods in Engineering 122 (13), 3273-3299, 2021
4. Optimal inspection and maintenance planning for deteriorating structures through dynamic Bayesian networks and Markov decision processes
   PG Morato, KG Papakonstantinou, CP Andriotis, JS Nielsen, P Rigo
   arXiv preprint arXiv:2009.04547
5. Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems
   KG Papakonstantinou, H Nikbakht
   arXiv preprint arXiv:2007.00180
6. Value of structural health information in partially observable stochastic environments
   CP Andriotis, KG Papakonstantinou, EN Chatzi
   arXiv preprint arXiv:1912.12534
7. Managing engineering systems with large state and action spaces through deep reinforcement learning
   CP Andriotis, KG Papakonstantinou
   Reliability Engineering & System Safety 191, 106483, 2019