India’s Top AI Researchers

A 2020 digital project, The Global AI Talent Tracker, by MacroPolo, the think tank at Chicago’s Paulson Institute, found that 12% of elite AI researchers went on to study in India. This was based on the research papers submitted to NeurIPS in December 2019, of which 21.6% were accepted, with Indians having the highest acceptance.

India’s continued focus on advancing science and technology has helped the country create some of today’s top tech leaders. Some of India’s eminent scientists have propelled new AI research and laid the foundation for India’s current focus on advancing AI innovations. Analytics India Magazine reviewed some of the top AI researchers.

Dr Sanghamitra Bandyopadhyay

Dr. Sanghamitra Bandyopadhyay is an Indian computer scientist currently working as a professor in the Artificial Intelligence Unit of the Indian Institute of Statistics, Kolkata, the alma mater of her Ph.D. She served as the institute’s first female director from 2015 to 2020. Bandyopadhyay is also a member of the Indian Prime Minister’s Science, Technology and Innovation Advisory Council (PM-STIAC). His research focuses on evolutionary computation, pattern recognition, machine learning, data mining and bioinformatics. She has been recognized and celebrated with several awards including Bhatnagar Award, Infosys Award, TWAS Award, JC Bose Fellowship, DBT National Women Bioscientist Award, and more. Dr. Bandyopadhyay has authored and co-authored over 300 research articles and published six books. Some of his research papers can be found here.

Dr Sunita Sarawagi

Dr. Sunita Sarawagi is the Head Professor of the Center of Machine Intelligence and Data Science and Institute Chair Professor at IIT Bombay. She earned her PhD in “Query Processing in Tertiary Memory Databases” from UC Berkley. Since then, she has pioneered research in machine learning, sequence models for text and time series, domain adaptation, and effective human intervention in learning and databases. Besides IITB, Dr. Sarawagi has worked with Google Research, CMU and IBM Almaden Research Center. She has received Infosys Award and Distinguished Alumnus Award from IIT Kharagpur. With four patents to her name and several keynote speeches, she has served on the committees of several prestigious organizations like IEEE, Reserve Bank of India IT-Sub Committee and VLDB. Learn more about his research here.

Dr Sankar Kumar Pal

An eminent Indian scientist, Dr. Sankar Kumar Pal, is the former director of the Indian Statistical Institute and the founder of the ISI Machine Intelligence Unit and Center for Soft Computing Research. He is also the founding president of the Indian National Academy of Engineering in Kolkata. Pal pursued two doctorates from ISI and Imperial College London. He has taught at the University of California, Berkeley and the University of Maryland and has held several visiting positions in Italy, Poland, Hong Kong and Australian universities. He has also worked with NASA’s Johnson Space Center, the US Naval Research Laboratory and was an IEEE Distinguished Visitor for the Asia-Pacific region. He is internationally known for his research in fuzzy neural networks, soft computing, pattern recognition, web intelligence, data mining, granular computing and machine learning. He was awarded the Padma Shri Prize in Science and Engineering, the 1990 Shanti Swaroop Bhatnagar Prize and several other awards from Indian and international associations. His considerable work can be found across the country through twenty books and over four hundred research publications. His works are found here.

Dr Pushpak Bhattacharyya

Dr. Pushpak Bhattacharya is one of India’s pioneering scientists and researchers. As a professor holding the chair of computer science and engineering at IIT Bombay, he guided more than three hundred students in their research. He has also been a visiting scholar and professor at MIT, Stanford, UT Houston, and Joseph Fourier University. Also, Dr. Bhattacharyya has worked a lot to encourage research with his research lab IIT Bombay “Center for Indian Language Technology” (CFILT) and IIT Patna lab called “Center of Excellence in Natural Language Processing”. His extensive research has focused on ML, AI and NLP with notable works such as his “Machine Translation” textbook, published over 350 research papers and three monographs on cutting-edge NLP research on topics such as computer sarcasm and machine translation and transliteration. He has won several awards including Abdul Kalam National Technology Innovation Fellowship, HHMathur Research Excellence Award from IIT Bombay and VNMM Award from IIT Roorkee. Learn about his notable achievements and works here.

Dr. Poonam Goyal

Dr. Poonam Goyal is Professor of Computer Science and Information Systems at BITS Pilani, where she also leads the Web Intelligence and Social Computing Lab. After pursuing her PhD at IIT Roorkee, she specialized in big data analysis, high performance computing, media retrieval, computer vision and natural language processing. She holds two patents and has published several research papers in social and scientific fields including social media analytics, multimodal knowledge graphs and bioinformatics, published in journals like IEEE, ACM, ICMR and DSAA . In addition, she received IBM Research Innovation Award, Google AI for Social Good Research Award 2021 and was recognized by India AI as one of India’s leading female researchers. Its publication history can be studied here.

Dr Richa Singh

Elected IEEE Fellow 2021, Dr. Richa Singh is Professor at IIT Jodhpur and Adjunct Professor at IIIT-Delhi and West Virginia University. She earned her doctorate in computer science from West Virginia University, after which she undertook research in pattern recognition, machine learning, and biometrics. Singh has co-edited a book called “Deep Learning in Biometrics” and has been a keynote speaker at several conferences including GTC, AFGR, ICCV, and BIOSIG. She was awarded Kusum and Mohandas Pai Faculty Research Fellowship at IIIT-Delhi and FAST Award from Department of Science and Technology of India. Currently, in addition to serving as CVPR2022 and ICMI2022 Program Chair and General Chair of FG2021, Singh serves as Vice Chair of the IEEE Biometrics Council. She has published several research papers which can be found here.

Dr Sriparna Saha

Dr. Sriparna Saha obtained her PhD from IIT Kolkata and became an associate professor in the Department of Computer Science and Engineering at IIT Patna. His research interests are in deep learning, natural language processing, machine learning, information mining, text mining, bioinformatics and multi-objective optimization. In this, she has co-authored over 260 papers, published a book, and has a Google Scholar citation count of 5053. Dr. Saha is a senior fellow and member of the IEEE Editorial Board and has received several awards, including Lt Rashi Roy of the ISI. Commemorative Gold Medal, Google India Women in Engineering Award, NASI Young Scientist Platinum Jubilee Award, BIRD Award, IEI Young Engineers’ Award, SERB Women in Excellence Award and SERB Early Career Research Award. Additionally, she has been recognized by India’s AI portal, INDIAai, as one of India’s top eight female scientists and by Stanford University as one of the top 2% of scientists. in AI with more than five published articles. His papers are here.

Dr Urvashi Aneja

With a PhD from Oxford, Dr Urvashi Aneja continued her PhD and MSc studies in the UK and was a research fellow at the Observer Research Foundation in India. Additionally, she is an Associate Fellow of the Asia-Pacific Program at Chatham House, Fellow of Future of Work in G20 countries and member of Indian Government Committees on Frontier Technology India and Skills for a Digital India. Dr. Aneja is known for her research on decision-making algorithms and government structures. Until December 2021, she was also the director and co-founder of an interdisciplinary research collective, Tandem Research.

Dr. Partha Talukdar

Dr. Partha Talukdar is a research scientist at Google Research. She focuses on graph-based learning algorithms using automated knowledge, collecting temporal information from big data, and neuro-semantics. He continued his doctoral and post-doctoral studies, after which he worked with IISc and Microsoft. His interests are in natural language processing, machine learning and knowledge graphs. Dr. Talukdar has co-authored a book on semi-supervised graph-based learning, published several research papers and presented them in India, Italy, Canada, Hong Kong, Japan, USA United, Belgium, Australia, etc. The papers are here.

James G. Williams