Venkat Venkatasubramanian

Adjunct Professor

FRNY 1060
Purdue University
School of Chemical Engineering
Forney Hall of Chemical Engineering
480 Stadium Mall Drive
West Lafayette, IN 47907-2100
(765) 494-0734 (office)
(765) 494-0805 (fax)
Joined Purdue in 1988
B.Tech University of Madras, India, 1977
M.S. Physics, Vanderbilt University, 1979
Ph.D Cornell University, 1984

Research Interests

Professor Venkatasubramanian's research contributions have been in several areas: (1) risk analysis and management of complex engineered systems, (2) molecular products engineering, (3) cyberinfrastructure for pharmaceutical engineering and materials design, and (4) complex adaptive systems. All these problems are addressed using a combination of artificial intelligence, informatics, statistics, and mathematical programming techniques.

(1) Risk analysis and management of complex engineered systems: In order to design and operate complex industrial processes safely and optimally, we are developing methodologies for the identification, analysis, and control of risks in systems such as process plants and pharmaceutical supply chains using real-time intelligent systems. Numerous lives and billions of dollars are lost every year in industrial accidents globally. To address this challenge, Professor Venkat and his group have been exploring various approaches for the integration of process monitoring, data reconciliation, fault diagnosis, and supervisory control tasks into a single unified framework. Knowledge-based systems, neural networks, statistical techniques and mathematical programming approaches have been developed to address these problems.

(2) Molecular products engineering: We are pursuing a novel framework, called Discovery Informatics, that is based on knowledge-based systems, neural networks and genetic algorithms, for the rapid discovery of new materials such as fuel additives, rubber compounds, polymers, catalysts, and so on.

(3) Cyberinfrastructure for pharmaceutical engineering: Another challenging problem is the expensive and time consuming development and manufacturing cycle of pharmaceutical products. In collaboration with colleagues from the School of Pharmacy, Professor Venkat and his co-workers are currently pursuing the development of a novel paradigm, called Ontological Informatics, to address this challenge. This model-based integrated framework involves the development and implementation of ontologies and algorithms for knowledge representation and information sharing across the pharmaceutical products pipeline to support decision-making.

(4) Complex adaptive systems: Another active area of research is the modeling and analysis complex adaptive systems such as networks. Complex networks are ubiquitous, ranging from biological networks such as metabolic and signal transduction networks to engineering applications such as supply chains and Internet to ecological systems such as the food webs. Professor Venkat's group is exploring a deeper understanding of such networks using statistical mechanics, optimization, artificial intelligence, and artificial life models.

Research Group

Graduate Students

  • Intan Munirah Hamdan
  • Laura Hirshfield
  • Rugved Pathare
  • Raghavendra Prasad
  • Anirudh Shenvi
  • Aviral Shukla
  • Vishesh Shah

Research Associates

  • Dr. Arun Giridhar
  • Dr. Girish Joglekar
  • Dr. Tanu Malik
  • Dr. Kris Villez

Awards and Honors

Computing in Chemical Engineering Award, awarded by the American Institute of Chemical Engineers in 2009, for innovative advances in process systems engineering.
Associate Editor, Cyberinfrastructure, Informatics, and Intelligent Systems Topical Area, Computers and Chemical Engineering, 2009- Present.
Research Excellence Award, College of Engineering, Purdue University, 2007 (shared with colleagues in the Discovery Informatics Research Team).
Fellow of the Teaching Academy, College of Engineering, Purdue University, 2007.
Best Paper Prize, from the international journal of Computers and Chemical Engineering, 2006 (shared with my students and co-workers).
Teaching for Tomorrow Award, one of three senior faculty awarded for excellence in teaching in the entire university, Purdue University, 2004-2005.
Shreve Award for Outstanding Teaching, School of Chemical Engineering, Purdue University, 1993, 2004, 2006.
Best Paper Prize, sponsored by the International Federation of Automatic Control (IFAC) for 2002-05, from the international journal of Engineering Applications of Artificial Intelligence (shared with my former students).
Academic Trustee, and Past President (2002-04), Computer Aids in Chemical Engineering Corporation (CACHE Corp.), Austin, TX, 1993-present.
University Faculty Scholar, Purdue University, 1998-2003.
CAST Directors' Award (First Place) for the Best Poster Presentation, AIChE Annual Meeting, Los Angeles, CA, November 2000 (shared with graduate student and co-worker).

Selected Publications

S-H. Hsu, G. V. Reklaitis, and V. Venkatasubramanian,, "Modeling and Control of Roller Compaction for Pharmaceutical Manufacturing. Part I: Process Dynamics and Control Framework," Journal of Pharmaceutical Innovation, in press, 2010.

M. B. Sesen, P. Suresh, R. Banares-Alcantara, V. Venkatasubramanian, "An Ontological Framework for Automated Regulatory Compliance in Pharmaceutical Manufacturing," Comp. Chem. Eng., in press, 2010.

S-H. Hsu, S. D. Stamatis, J. M. Caruthers, W. N. Delgass, V. Venkatasubramanian, G. E. Blau, M. Lasinski and S. Orcun, "Bayesian framework for building kinetic models of catalytic systems," Ind. Eng. Chem. Res., 48 (10), pp 4768-4790, 2009.

V. Venkatasubramanian, "What is Fair Pay for Executives' An Information Theoretic Analysis of Wage Distributions," Entropy. 11(4):766-781, 2009.

S. Patil, S. Srinivasa, S. Mukherjee, A. R. Rachakonda, and V. Venkatasubramanian, "Breeding Diameter Optimal Topologies for Distributed Indexes", 18(2), Complex Systems, 2009.

J. M. Pezzuto, V. Venkatasubramanian, M. Hamad, and K. R. Morris, "Unraveling the Relationship Between Grapes and Health," Nutrition, 139(9), 1783S-1787S, 2009.

, "A Signed Directed Graph-Based Systematic Framework for Steady-State Malfunction Diagnosis Inside Control Loops, Chem. Engg. Sci., 61, 2006, pp. 1790-1810.

V. Venkatasubramanian, "Drowning in Data: Informatics and Modeling Challenges in a Data Rich Networked World," Perspective article, AIChE J., 55(1), p. 2-8. 2009. (Invited paper).

M. R. Maurya, S. J. Bornheimer, V. Venkatasubramanian, and S. Subramaniam, "Mixed-integer nonlinear optimization approach to coarse-graining biochemical networks," IET Syst. Biol., 2009, 3(1), pp. 24-39.

S-H. Hsu, B. Krishnamurthy, P. Rao, C. Zhao, S. Jagannathan and V. Venkatasubramanian, "A Domain-specific Compiler Theory Based Framework for Automated Reaction Network Generation," Comp. Chem. Eng., 32 (2008) 24552470.

Venkatasubramanian, V., "A Theory of Design of Complex Teleological Systems: Unifying the Darwinian and Boltzmannian Perspectives," Complexity, 12(3) , 2007.