Welcome

Welcome

Complex Resilient Intelligent Systems Laboratory (CRIS Lab) was founded in 2011 by Prof. Venkat Venkatasubramanian. Our group’s research contributions have been in three areas: (1) Risk analysis and management in complex engineered systems, (2) Cyberinfrastructure and “big data” analytics for molecular products design and discovery, and (3) Complex adaptive teleological systems and emergence. These challenges are addressed using a combination of artificial intelligence, informatics, statistics, and mathematical programming techniques.


Latest CRIS News:

The Symposium on Inequality, Entropy and Econophysics (IEE 2019) was held on May 30-31 2019, at Riverside Church Conference Hall, New York (Link)

  • New perspective article on "The promise of Artificial Intelligence in Chemical Engineering" (link)
  • Prof. Venkatasubramanian talks about "Ideal Income Inequality" with Nautilus (link)
  • Prof. Venkatasubramanian publishes his new book, 'How Much Inequality is Fair? Mathematical Principles of a Moral, Optimal, and Stable Capitalist Society' (link)
  • New Paper: "Statistical Teleodynamics: Toward a Theory of Emergence" (link)

 

Invited talks:

  

Leo Chiang of Dow interviews Prof. Venkat Venkatasubramanian on his Plenary talk entitled “Artificial Intelligence in Chemical Engineering: Quo Vadis?”

Prof. Venkat participated in the Industry 4.0 Plenary at the 2019 AIChE Spring Meeting and 15th Global Congress on Process Safety in New Orleans on April 1, 2019.

 

Opening Plenary talk by Prof. Venkat Venkatasubramanian at the PSE-BR (1st Brazilian Congress on Process Systems Engineering), May 20, 2019.

 

Prof. Venkat Venkatasubramanian's keynote lecture (virtual) at the 2019 European Conference on Process Safety and Big Data, Frankfurt, Germany, Oct 2, 2019.
 
Prof. Venkat Venkatasubramanian speaks at Princeton University about the risks of income inequality and the mathematical considerations of "fairness". It was organized by PIIRS Global Systemic Risk at Princeton University on Feb 18, 2016.
 

 

 
 
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