Chemical Engineering, IIT Bombay
K. V. Venkatesh
Full Name: K. V Venkatesh
Room No: 136, Chem. Engg.
+91 (22) 2576 7223 (O)
+91 (22) 2576 8223 (R)
+91 (22) 2572 6895 (Fax)
Email Contact Form
Detailed Information / Research Group Web-Page
B.Tech. I.I.T. Madras, 1989
Ph.D., Purdue University, 1993
Awards & Fellowships
Swaranajayanthi Fellowship, 2004 From Department of Science and Technology
Anil Kumar Bose Award, 2004, From Indian National Science Academy
INSA Young Scientist Award, 1999, From Indian National Science Academy
INAE Young Engineer Award, 1998, From Indian National Academy of Engineers
Amar-Dye-Chem Award, 1998, From Indian Institute of Chemical Engineers (IIChE)
A complete list of publications is available in this link.
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K. V. Venkatesh
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Given the explosion and availability of biological data, computational analysis in Biological sciences has become a necessity. There is hope that this will increase applications in biotechnology, resulting in a strong need for quantification of biological systems. Biological systems are highly interconnected and hierarchical with unique structures, which are being discovered by molecular biologists. Our group is interested in developing novel computational and theoretical methods to analyze biological structures and interpret the massive volumes of data generated by experiments. We are specifically looking at Genetic switches, Metabolic regulation, and Signal transduction systems.
Organisms screened from nature are typically optimized for growth. Quantification of metabolic network of an organism will help to engineer metabolism for a specific end use. Techniques like metabolic flux analysis and elementary mode analysis can be used to optimize production of chemicals at the cellular level. We are using such techniques to optimize diacetyl production from L. casei. We have used flux analysis to illustrate the existence of GABA shunt in A. niger. Currently, we are trying to link flux analysis to microbial growth models. Such models will help in optimizing the performance and operation of bioprocesses. For example, we have attempted to develop optimal feed strategy to operate simultaneous saccharification and fermentation of starch in a fed-batch mode using structured models.
Kinetics for cell growth and product formation is essential for bioprocess quantification and reactor design. We have developed an optimal model to characterize growth kinetics of organisms on multiple substrates. The model can be extended to represent growth on complex media. The model assumes that the cells grow optimally on multiple substrate and have evolved controls to maximize growth
Multiphase transport plays an important role in food processing. In our lab we are interested in two aspects, application of multiphase transport to (i) dehydration of biological material and (ii) Controlled atmosphere and modified atmosphere storage of foods.
PhD TA Topics
Connecting genetic network response to metabolic network to characterize phenotypic response
Quantification of metabolism in Escherichia coli under uncertain environments
Analyzing whole body metabolism in Humans for characterizing dissease states
Courses Instructing this Academic Year
CL 317 Mass Transfer Operations
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