About

Vikas Agrawal currently plays the role of a Research Analyst at the Center for Knowledge Driven Information Systems at Infosys Labs, India.

Prior to joining Infosys in mid-2010, Vikas coordinated multi-disciplinary research and development efforts as a Staff Engineer (Silicon Integration, Design-In Quality and Reliability) within Intel Corporation‘s Technology Development (Folsom, CA and Chandler, CA) organization for five years. Vikas conducted post-doctoral research at California Institute of Technology (Pasadena, CA), anchoring development of mathematical models jointly with researchers from Jet Propulsion Labs and UC Irvine for the Computable Plant project funded by NSF FIBR.

Vikas’ active research interests include collaborative multi-technology solutions for next generation digital workplaces and consumer playspaces, computational-statistical modeling and risk prediction in the domains of design and product engineering, life sciences-healthcare, institutional tribal knowledge capture- management and retail-consumer experience.

Vikas received a B.Tech. in Electrical Engineering from Indian Institute of Technology, New Delhi (1997), an M.S. in Computer and Information Sciences and Ph.D. in Computational Mathematical Modeling / Statistical Modeling in Systems Biology from University of Delaware, Newark, DE. Vikas has conducted research with AstraZeneca‘s International Bioinformatics Target Discovery team for identifying targets for diseases of the central nervous system and with DuPont Pharma’s Stine Haskell Research Center (now part of Bristol Myers Squibb Company) to create datasets for FDA approval of the anti-HIV drug SUSTIVA (Efavirenz) for short periods of time. Vikas’ publications have drawn over 500 citations.

Currently, Vikas helps discover, nurture and technically contribute to opportunities for synergies in research at the Center for Knowledge Driven Information Systems in Infosys’ Software Engineering and Technology Labs with focus on Next Generation Digital Workplace and Consumer Playspace, developing a Context Aware Activity Network, in multiple domains including but not limited to Life Sciences, Health Care, Design and Product Engineering, Institutional Tribal Knowledge Management and Retail/Consumer Experience. Most of the effort involves learning and fostering collaborative R&D efforts to enable a pipeline for projects to grow from exploration/pathfinding to development and deployment.