Please note: This distinguished lecture will take place in DC 1302 and online.
Pascal Van Hentenryck
Associate Chair, Innovation and Entrepreneurship; A. Russell Chandler III Chair and Professor
H. Milton Stewart School of Industrial and System Engineering, Georgia Institute of Technology
This talk reviews new methodological developments in fusing data science, machine learning, and optimization, as well as their applications in energy systems, mobility, supply chains, fair recommendations. It highlights the symbiotic relationships between deep learning, reinforcement learning, and optimization, through optimization proxies and end-to-end learning.
The talk also identifies and illustrates avenues where the fusion of machine learning and optimization can achieve more than the two technologies independently.
Bio: Pascal Van Hentenryck is the A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology and the Associate Chair for Innovation and Entrepreneurship. He is the director of the NSF AI Institute for Advances in Optimization, the director of the Socially Aware Mobility (SAM) and the Risk-Aware Market Clearing (RAMC) labs.
Several of his optimization systems have been in commercial use for more than 20 years for solving logistics, supply-chains, and manufacturing applications. His current research focuses on machine learning, optimization, and privacy with applications in energy, mobility, and supply chains.
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