Prathosh received his Ph.D from the Indian Institute of Science (IISc), Bangalore in 2015, in the area of temporal data analysis. He submitted his Ph. D thesis three years after his B.Tech in 2011. Subsequently, he worked in corporate research labs including Xerox Research India, Philips research, and a start-up in CA, USA. His work in the industry, focussing on healthcare analytics, led to the generation of several IP, comprising 15 (US) patents of which 10 are granted and 6 are commercialized. He joined IIT Delhi in 2017 as an Assistant Professor in the computer technology group of Electrical Engineering where he served for four years. His current research includes guided deep-representational learning, cross-domain generalization, machine learning for scarce data, signal processing, and their applications in healthcare. He has co-founded a start-up Cogniable.Tech which builds learning algorithms for behavioural healthcare (first-place winner of the recent AI start-up challenge by Govt. of India) and also actively engaged with several corporate industries, start-ups, and medical centres (E.g., AIIMS) in solving interesting technical problems.
Deep Representation Learning, Deep Generative Models, Deep/Machine Learning for Scarce data scenarios, Applications for Digital Healthcare