Pascal Van Hentenryck

Pascal Van Hentenryck is an Adjunct Professor at the School of Computational Science and Engineering, Georgia Institute of Technology. His research focuses on integrating optimization techniques with artificial intelligence, particularly in power systems, transportation networks, and constraint programming. He leads projects on trustworthy optimization learning, grid reliability, and AI-driven solutions for public transit systems like MARTA REACH in Atlanta. Key areas include optimal power flow, machine learning proxies for large-scale optimization, and stochastic decision-making in renewable energy systems.

Van Hentenryck's work spans academic and industrial collaborations, including the ARPA-E Grid Optimization Competition and the design of on-demand multimodal transit systems. He emphasizes practical applications of optimization algorithms in real-world scenarios such as supply chain management, rider behavior modeling, and fair policy design. His contributions to constraint programming education and MOOC development highlight his commitment to advancing computational methods in academia.

Recent projects include developing frameworks for privacy-preserving convex optimization and analyzing the impact of equity considerations on adversarial vulnerability in AI systems. He explores topics like neural network verification, battery storage integration in grids, and scalable solutions for large-scale scheduling problems using column generation and reinforcement learning.