Souvik Barat is a principal scientist at Tata Consultancy Services Research, India. He has 20+ years of experience in industrial research and his research interests include Digital Twin technology, Modelling and simulation of complex systems, Reinforcement Learning, Model- Driven Engineering, Software Product Lines, and Business Process Management.
At present, he is actively involved in developing digital twins for complex business and societal systems. His work on digital twin for business systems led to the Best Innovation Award 2019 in TCS and contributed towards Gold Stevie Award 2021 under AI/ML category. His effort in modeling a city to evaluate the efficacy of non-pharmaceutical interventions for controlling COVID-19 infections is extensively used by city-based health care organizations and municipality corporation.
Earlier, he was a lead architect of a model-driven toolset that has been used for delivering large IT systems for over a decade and led a research initiative to develop a platform for product line architecture.
Souvik has several patents to his credit and has authored several book chapters, journals and conference papers. He holds Ph.D. from Middlesex University, London, and a master’s degree from the Indian Institute of Technology (IIT), Madras.