Vedant Khandelwal (Spring 2021-, co-advised with Amit Sheth)
Vedant is interested in explainable AI, deep reinforcement learning, and logic programming.
Vedant Khandelwal (Spring 2021-, co-advised with Amit Sheth)
Vedant is interested in explainable AI, deep reinforcement learning, and logic programming.
Rojina Panta (Fall 2021-)
Rojina is interested in explainable AI, deep reinforcement learning, and logic programming.
Cale Workman (Spring 2022-)
Cale is interested in using deep neural networks to do medical image analysis.
Misagh Soltani (Fall 2022-)
Misagh is interested in model-based deep reinforcement learning and planning.
William Edwards (Fall 2022-)
William is interested in using deep learning to predict protein-ligand binding affinity.
Christian Geils (Spring 2024-)
Christian is interested in deep reinforcement learning and heuristic search for reaction mechanism pathway prediction.
Ian Turner (Spring 2022-Spring 2023)
Ian is interested in using deep reinforcement learning and search for chemical reactions.
Chris Nelson (Fall 2022-Spring 2022)
Chris received his B.S. in computer science and engineering and is working in industry.
Ralph Gleaton (Spring 2021-Spring 2022)
Ralph received his B.S. in computer science and engineering and is working in industry.
Michael Sana (Fall 2021-Spring 2022)
Michael received his B.S. in computer science and engineering and is working in industry.
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