Department of Industrial and Physical Pharmacy Personnel - Venkat Venkatasubramanian
Specialization: Pharmaceutical Informatics, Abnormal Events Management and Process Safety, Discovery Informatics for Molecular Products Design, Systems Biology, Complex Adaptive Systems, Artificial Intelligence, Artificial Life, and Statistical Mechanics.EducationB.Tech University of Madras, India, 1977M.S. Physics, Vanderbilt University, 1979 Ph.D Cornell University, 1984 Research: Pharmaceutical Informatics, Abnormal Events Management and Process Safety, Discovery Informatics for Molecular Products Design, Systems Biology, Complex Adaptive Systems, Artificial Intelligence, Artificial Life, and Statistical Mechanics.Professor Venkatasubramanian's research interests are in the design, implementation and analysis of real-time intelligent systems for assisting humans to develop and manage complex industrial processes safely and optimally. Numerous lives and billions of dollars are lost every year in industrial accidents globally. To address this challenge, Prof. Venkat has 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. 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 Pharmaceutical Informatics, to address this challenge. This model-based integrated framework involves the development and implementation of ontologies and algorithms for knowledge representation and information transfer all across the pharmaceutical products pipeline. In the area of molecular products formulation and design, a novel framework called Discovery Informatics is being explored. Professor Venkat and co-workers have been developing methodologies based on knowledge-based systems, neural networks and genetic algorithms for the rapid discovery of new materials. 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. Prof. Venkat's group is pursuing a deeper understanding of such networks using statistical mechanics, optimization, artificial intelligence, and artificial life models. More details of these projects can be found at http://lips.ecn.purdue.edu/~lips/ Laboratory for Intelligent Process Systems (LIPS). Honors and Credentials
Representative PublicationsZhao, C., Bushan, M. and V. Venkatasubramanian, "PHASuite: An Automated HAZOP Analysis Tool for Chemical Processes Part I Knowledge Engineering Framework," in press, Process Safety and Environmental Protection, Trans IChemE Part B, 83 (B6), 2005. Zhao, C., Bushan, M. and V. Venkatasubramanian, "PHASuite: An Automated HAZOP Analysis Tool for Chemical Processes Part II Implementation and Case Study," in press, Process Safety and Environmental Protection, Trans IChemE Part B, 83 (B6), 2005. Venkatasubramanian, V., Politis, D. N., and Patkar, P. R., "Entropy Maximization as a Holistic Design Principle for Complex Optimal Networks," in press, AIChE J, 52(3), 2006. Maurya, M. R., R. Rengaswamy and V. Venkatasubramanian, "A Signed Directed Graph-Based Systematic Framework for Steady-State Malfunction Diagnosis Inside Control Loops," in press, Chem. Eng. Sci., 61, 2006, pp. 1790-1810. Maurya, M. R., Katare, S. R., Patkar, P. R., Rundell, A. E., and Venkatasubramanian, V., "A Systematic Framework for the Design of Reduced-order Models for Signal Transduction Pathways from a Control Theoretic Perspective," in press, Comp. Chem. Eng. , 2006. Maurya, M. R., Bornheimer, S. J., Venkatasubramanian, V. and Subramaniam, S., "Reduced-Order Modeling of Biochemical Networks: Application to the GTPase-Cycle Signaling Module," in press, IEE Systems Biology, 2006. Curriculum VitaeClick here for a full CV for Venkat Venkatasubramanian. (an Adobe Acrobat file) This record was last updated on Feb 17, 2009 at 8:36 AM |



