معرفی
Kostas Papakonstantinou is an Associate Professor in the Department of Civil Engineering at Penn State University, affiliated with the College of Engineering. His research bridges Artificial Intelligence (AI) with Civil Engineering, focusing on uncertainty quantification and decision-making under uncertainty.
Research Areas:
- Uncertainty Quantification
- Stochastic Control
- Deep Reinforcement Learning
- Bayesian Analysis
- Nonlinear Filtering
- Computational Mechanics
- Infrastructure Management
- Rare Events Quantification
His work emphasizes AI-driven solutions for structural life-cycle management, infrastructure systems, and autonomous operations. Funded by the NSF and USDOT, his projects include AI-enabled fiscally constrained life-cycle asset management and Deep reinforcement learning for multi-asset infrastructure management.
Scientific Awards:
- NSF CAREER Award: Optimal engineering decision-making under uncertainties for enhanced structural life-cycle
He teaches graduate courses on Uncertainty and Reliability in Civil Engineering (CE 566) and Computational Analysis of Randomness in Engineering (CE 597).
