Venkat Venkatasubramanian

Columbia University - USA

First-principles-based Machine Learning: Combining Symbolic-AI with Numeric-AI


Professor Venkat Venkatasubramanian is Samuel Ruben-Peter G. Viele Professor of Engineering in the Department of Chemical Engineering, Professor of Computer Science (Affiliate), and Professor of Industrial Engineering and Operations Research (Affiliate) at Columbia University. He earned his Ph. D. in Chemical Engineering at Cornell, M.S. in Physics at Vanderbilt, and B. Tech. in Chemical Engineering at the University of Madras, India. He taught at Purdue University for many years before returning to Columbia in 2011.

Venkat is a complex-dynamical-systems theorist interested in developing mathematical models of their structure, function, and behavior from fundamental conceptual principles. His natural tendency is to conduct curiosity-driven research in a style that might be considered impressionistic, emphasizing conceptual issues over mere techniques. He strives to create a simplified but essentially correct model of reality to gain fundamental insights. Venkat's research interests are diverse, ranging from AI to systems engineering to theoretical physics to economics, but are generally focused on the theme of understanding complexity and emergent behavior in different domains.

Venkat received the Norris Shreve Award for Outstanding Teaching in Chemical Engineering three times at Purdue University. He won the Computing in Chemical Engineering Award from AIChE and is a Fellow of AIChE. In 2011, the College of Engineering at Purdue University recognized his contributions with the Research Excellence Award. He is a past-President of the CACHE Corporation. From 2009-19, he served as Editor, Computers and Chemical Engineering. His recent book, How Much Inequality is Fair? Mathematical Principles of a Moral, Optimal, and Stable Capitalist Society, was published in 2017. Venkat's other interests include comparative theology, classical music, and cricket.

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