Md Imbesat Hassan Rizvi

Md Imbesat Hassan Rizvi is a Technical (Research) Associate at the Robert Bosch Centre for Cyber-Physical Systems (RBCCPS), Indian Institute of Science (IISc). His research focuses on Scientific Machine Learning, Natural Language Processing (NLP), Reinforcement Learning, Robotics, Human-Robot Interaction, and Multi-modal Machine Learning. He is actively involved in projects such as enabling natural interactions with social robots like 'Asha,' which includes speech communication, lip synchronization, and NLP-based instruction execution. His work combines robotics with NLP and reinforcement learning, leading to open-source contributions like the sonorus package and imperio repository.

Rizvi's academic background includes an M.Tech. in Computational and Data Sciences from IISc (2015-2017) and a B.Tech. in Mechanical Engineering from IIT(ISM) Dhanbad (2008-2012). His research has spanned diverse areas including causal relation extraction from clinical notes (MIMICause corpus), diabetes-related tweet analysis, and molecular descriptor-based drug discovery. He has been recognized as a finalist in ICSR 2021 and a semi-finalist in the ANA Avatar XPRIZE competition.

Notable contributions include publications on causal language modeling, medical informatics, and thermodynamics of nanofluids. His technical expertise extends to parallel computing optimizations and customer review analysis at HP Inc. Rizvi’s projects also include language identification systems and retrofitting word vectors to semantic lexicons, showcasing his versatility in both theoretical and applied research domains.