Arogyasetu - A case study of a large scale data driven system design for pandemic control
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Abstract
The talk will present details of building a large scale data driven system design for pandemic control
V. Kamakoti, IIT Madras
Kamakoti Veezhinathan received his M.S. and Ph.D. degrees in Computer Science and Engineering from IIT Madras. He joined the faculty of IIT Madras in 2001 and took over as its Director in January 2022. He specializes in the area of Computer Architecture, Information Security and VLSI Design. He heads the Microprocessor Development Program and the Information Security Education and Awareness Program at IIT Madras funded by the Ministry of Electronics and Information Technology, Government of India. He is member of the National Security Advisory Board. He was also the Chairman of the Artificial Intelligence Task Force constituted by the Ministry of Commerce and Industry, Government of India. At IIT Madras he has served as the Chairman, JEE and as Associate Dean, Industrial Consultancy and Sponsored Research. He has over 150 publications in International Journals and Conferences, guided many research scholars for their PhD and Master of Science (By research) program. He has coordinated and successfully delivered close to 50 projects from Industry and Government R&D establishments. He serves in the Technology committees of the National Stock Exchange and Reserve Bank of India. Dr. Kamakoti is the recipient of DRDO Academic Excellence Award, Indian Electronics and Semiconductor Association Techno Visionary Award, 'Abdul Kalam Technology Innovation National Fellowship', ACCS Life-time Achievement Award, IBM Faculty Award and VASVIK Industrial Research award.