Chemical Engineering
By inclination and education, Venkatasubramanian is attracted to foundational questions that are at the intersection of different disciplines. A leitmotif in his work is understanding emergent phenomena in self-organized and complex dynamical systems, particularly using artificial intelligence, statistical mechanics, game theory, and systems engineering concepts and techniques.
- Postdoctoral fellow in computer science, Carnegie Mellon, 1983-84
- Samuel Ruben-Peter G. Viele Professor of Engineering, Department of Chemical Engineering, Columbia University, 2012 –
- Professor of industrial engineering and operations research (Affiliated), Columbia University, 2013 -
- Professor of computer science (Affiliated), Columbia University, 2012 –
- Reilly Professor of Chemical Engineering, Purdue University, 2011 – 2012
- Professor of chemical engineering, Purdue University, 1995 - 2011
- Associate professor of chemical engineering, Purdue University, 1988 - 1995
- Assistant professor of chemical engineering, Columbia University, 1985 - 1988
- American Institute of Chemical Engineers
- Association for the Advancement of Artificial Intelligence
- Roger S. H. Sargent Lecturer, Imperial College of Science, Technology, and Medicine, London, U.K., 2015
- Top three most cited papers, out of 2072 papers published, in Computers & Chemical Engineering, 2003-2013
- Fellow, American Institute of Chemical Engineers, 2011
- Computing in Chemical Engineering, AIChE, 2009
- Norris Shreve Prize Outstanding Teaching, Purdue University, 1993, 2004, 2006
- V. Venkatasubramanian, How Much Inequality is Fair? Mathematical Principles of a Moral, Optimal, and Stable Capitalist Society, Columbia University Press, July 2017.
- M. M. Remolona, M. F. Conway, S. Balasubramanian, L. Fan, Z. Feng, T. Gu, H. Kim, P. M. Nirantar, S. Panda, N. R. Ranabothu, N. Rastogi, V. Venkatasubramanian, "Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection", Comp. and Chem. Eng., online, 21 March 2017.
- Y-F. Li and V. Venkatasubramanian, "Leveraging Bayesian Approach to Predict Drug Manufacturing Performance", Journal of Pharmaceutical Innovation, Volume 11(4), 2016.
- V. Venkatasubramanian and Z. Zhang, "TeCSMART: A hierarchical framework for modeling and analyzing systemic risk in sociotechnical systems", AIChE Journal, 62(9), 2016.
- Y. Luo, G. Iyengar, and V. Venkatasubramanian, "Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information", PLoS ONE 11(3): e0150343, 2016.
- R. Bookstaber, P. Glasserman, G. Iyengar, Y. Luo, V. Venkatasubramanian, and Z. Zhang, “Process Systems Engineering as a Modeling Paradigm for Analyzing Systemic Risk in Financial Networks”, Journal of Investing, Summer 2015.
- C. R. Behera, B. Srinivasan, K. Chandran, and V. Venkatasubramanian, “Model based predictive control for energy efficient biological nitrification process with minimal nitrous oxide production”, Chemical Engineering Journal, volume 268, p. 300–310, 2015.
- B. Srinivasan, T. Vo, Y. Zhang, O. Gang, S. Kumar and V. Venkatasubramanian, “Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm”, PNAS, 110(46), p. 18431-18435, 2013.
- V. Venkatasubramanian, C. Zhao, G. Joglekar, A. Jain, L. Hailemariam, P. Sureshbabu, P. Akkisetti, K. Morris, and G. V. Reklaitis, “Ontological Informatics Infrastructure for Chemical Product Design and Process Development”, Computers and Chemical Engineering, CPC 7 Special Issue, 30(10 – 12), p. 1482 – 1496, 2006.
- V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S. N. Kavuri, “A Review of Process Fault Detection and Diagnosis – Parts I, II, and III”, Computers and Chemical Engineering, 27 (3), p. 293 – 346, 2003.