- Risk Analysis
- Materials Discovery Analytics
- Self-organization and Emergence
- Artificial Intelligence
- B.Tech. University of Madras, Chemical Engineering
- M.S. Vanderbilt University, Physics
- Ph.D. Cornell University, Chemical Engineering
Professor Venkat Venkatasubramanian is Samuel Ruben-Peter G. Viele Professor of Engineering in the Department of Chemical Engineering, and a Professor of Computer Science (affiliated) and a Professor of Industrial Engineering and Operations Research (affiliated), at Columbia University in the City of New York. Venkat worked as a Research Associate in Artificial Intelligence in the School of Computer Science at Carnegie-Mellon University, taught at Purdue University for 23 years, where he was Reilly Professor of Chemical Engineering, before returning to Columbia in 2011. At Columbia, Venkat directs the research efforts of several graduate students and co-workers in the Complex Resilient Intelligent Systems Laboratory. He is also the founding Co-Director of the Center for Systemic Risks Management, a transdisciplinary center with faculty from a number of departments at Columbia University. Prof. Venkatasubramanian's research contributions have been in the areas of process fault diagnosis and abnormal events management, risk analysis and management in complex engineered systems, informatics and cyberinfrastructure, molecular products design, pharmaceutical engineering and complex adaptive systems using knowledge-based systems, neural networks, genetic algorithms, mathematical programming and statistical approaches. His teaching interests include process design, process control, pharmaceutical engineering, risk analysis, complex adaptive systems, artificial intelligence, statistical physics, and applied statistics. His other interests include comparative theology, classical music, and cricket.
- Venkat Venkatasubramanian. "Statistical Teleodynamics: Toward a Theory of Emergence." Langmuir (2017). Columbia University Press, (2017).
- Venkat Venkatasubramanian. How Much Inequality Is Fair?: Mathematical Principles of a Moral, Optimal, and Stable Capitalist Society. Columbia University Press, 2017.
- Venkat Venkatasubramanian and Zhizun Zhang. "TeCSMART: A hierarchical framework for modeling and analyzing systemic risk in sociotechnical systems." AIChE Journal (2016).
- Venkat Venkatasubramanian, Yu Luo, and Jay Sethuraman. "How much inequality in income is fair? A microeconomic game theoretic perspective." Physica A: Statistical Mechanics and its Applications 435 (2015): 120-138.
- Richard Bookstaber, Paul Glasserman, Garud Iyengar, Yu Luo, Venkat Venkatasubramanian, and Zhizun Zhang. "Process Systems Engineering as a Modeling Paradigm for Analyzing Systemic Risk in Financial Networks." The Journal of Investing 24, no. 2: 147-162.
- Venkat Venkatasubramanian. "Systemic failures: challenges and opportunities in risk management in complex systems." AIChE Journal 57, no. 1 (2011): 2-9.
- Venkat Venkatasubramanian, Ravi Vaidyanathan, and Y. Yamamoto. "Process fault detection and diagnosis using neural networks—I. Steady-state processes." Computers & Chemical Engineering 14, no. 7 (1990): 699-712.
- Venkat Venkatasubramanian, Raghunathan Rengaswamy, and Surya N. Kavuri. "A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies." Computers & Chemical Engineering 27, no. 3 (2003): 313-326.
- Venkat Venkatasubramanian, Raghunathan Rengaswamy, Surya N. Kavuri, and Kewen Yin. "A review of process fault detection and diagnosis: Part III: Process history based methods." Computers & chemical engineering 27, no. 3 (2003): 327-346.