We apply state-of-the-art artificial intelligence and machine learning techniques, including deep learning and reinforcement learning, to solve challenging and impactful computational problems in complex cyber-physical systems, such as transportation and power systems, focusing on sequential decision-making under uncertainty and combinatorial optimization.
This research requires a solid background in artificial intelligence and machine learning, including both theoretical foundations and practical frameworks.
- Programming experience (preferably in Python)
- Foundations of machine learning and data sciences
- High GPA
Please e-mail your interests and CV to aql5923@psu.edu