Dr. Rajiv Ratn Shah
Leveraging Multimodal Data and AI for Social Good
Multimedia is increasingly becoming the "biggest big data" as the most important and valuable source for insights and information. It covers from everyone's experiences to everything happening in the world. Multimedia big data is spurring tremendous amounts of research and development of related technologies and applications (e.g., education, healthcare, e-commerce, banking, governance, entertainment, etc.). To this end, we leverage the advances in AI and multimodal data to study, analyze, and build different multimedia systems for society. To name a few, some of our recent work focuses on doing lipreading, suicidal ideation detection, automatic scoring, etc. These works have been published at top conferences like AAAI, WWW, EMNLP, etc.
Rajiv Ratn Shah received his Ph.D. in computer science from the National University of Singapore, Singapore. Prior completing his Ph.D., he received his M.Tech. and MCA degrees in computer applications from the Delhi Technological University, Delhi and Jawaharlal Nehru University, Delhi, respectively. He has also received his BSc in Mathematics (Honors) from the Banaras Hindu University, Varanasi. Dr Shah is the recipient of several awards, including the prestigious European Research Consortium for Informatics and Mathematics (ERCIM) Fellowship and runner-up in the Grand Challenge competition of ACM International Conference on Multimedia. He is involved in organizing and reviewing of many top-tier international conferences and journals. After joining IIITD in Dec 2016, he has spent 1 year as a Research Fellow in Living Analytics Research Center (LARC) at the Singapore Management University, Singapore.