[SIGCIS-Members] Fwd: Dr. Venkat Venkatasubramanian - Texas A&M Energy Institute Lecture Series

[Jonathan Coopersmith]

of possible interest:

Jonathan



Register now! The Texas A&M Energy Institute Lecture Series on Wednesday,
April 6, 2022 with Dr. Venkat Venkatasubramanian will be held from 11:00
a.m. - 12:00 p.m. CDT (GMT -5:00) in the GERB Third Floor Conference Room
and through a Zoom Meeting.
[image: Energy Institute Lecture Series]
Dr. Venkat Venkatasubramanian
Artificial Intelligence in Chemical Engineering: Past, Present, and Future
Wednesday, April 6, 2022
11:00 a.m. - 12:00 p.m. CDT (GMT -5:00)
Zoom Meeting
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[image: Venkat Venkatasubramanian]
Texas A&M Energy Institute
Lecture Series

will feature
Dr. Venkat Venkatasubramanian
the Samuel Ruben-Peter G. Viele Professor of Engineering in the Department
of Chemical Engineering at Columbia University
Abstract
Artificial intelligence (AI) started off with great promise in the early
1980s, spurred by the success of the expert system paradigm in certain
applications. This prompted a flurry of research activities in chemical
engineering in the mid-1980s. However, as the ensuing three decades showed,
AI didn’t quite live up to its promise in chemical engineering.

So, what went wrong with AI?

In this talk, I will review the different phases of AI in chemical
engineering over the last 35 years, providing some background and
explanation to this question. I will also argue that this time it is
different – I believe the time for AI in chemical engineering, and in other
domains, has arrived, finally. There are many applications that are ready
to yield quick successes in this new data science phase of AI. I will
highlight recent work in materials design and in process operations as
examples of exciting progress. However, the really interesting and
intellectually challenging problems lie in developing such conceptual
frameworks as hybrid models, mechanism-based causal explanations,
domain-specific knowledge discovery engines, and analytical theories of
emergence. These breakthroughs would require going beyond purely
data-centric machine learning, despite all the current excitement, and
leveraging other knowledge representation and reasoning methods from the
earlier phases of AI. They would require a proper integration of symbolic
reasoning with data-driven processing. I will discuss these challenges and
opportunities going forward.
Register Now
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Biography
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 23 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 the reality
that he studies. Venkat’s research interests are diverse, ranging from AI
to systems engineering to theoretical physics to economics, but they 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. He currently serves as an Editor for Computers and
Chemical Engineering. His new 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.
Printable Flyer
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Energy Institute Lecture Series
The Texas A&M Energy Institute's 2021-2022 Lecture Series includes
prominent energy leaders from across many energy disciplines and topics.
Running from September 2021 through June 2022, this cohort of experts will
present the latest innovations, concepts, and topics and will be sure to
spark thoughts and discussions as we all move forward together in the
Energy Transition.

2021-2022 Lecture Series Schedule
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Texas A&M Energy Institute
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