Dr. Gupta is a Principal Applied Scientist at Microsoft India R&D Private Limited at Hyderabad, India. He is also an Adjunct Faculty at International Institute of Information Technology, Hyderabad, and a visiting faculty at ISB, Hyderabad.
Dr. Gupta received his Masters in Computer Science from IIT Bombay in 2007 and his Ph.D. from the University of Illinois at Urbana-Champaign in 2013. Before this, he worked for Yahoo! Bangalore for two years.
Dr. Gupta’s research interests are in the areas of web mining, data mining and information retrieval. He has published more than 100 research papers in reputed referred journals and conferences. He has also co-authored two books: one on Outlier Detection for Temporal Data and another one on Information Retrieval with Verbose Queries.
Research Interests:
- Deep Learning
- Machine Learning
- Natural Language Processing
- Web Mining
- Information Retrieval
- Data Mining
- Doctor of Philosophy (PhD) in Computer Science & Data Mining from University of Illinois at Urbana Champaign, USA
- Masters in Computer Science from IIT Bombay, India
- Bachelors in Computer Engineering from Mumbai University, India
- Manish Gupta. (2019) "Basics of Deep Learning", "Essentials of Business Analytics - An Introduction to the Methodology and its Applications", Ed: Sridhar Seshadri, (Late) Bhimasankaram Pochiraju.
- Manish Gupta, Jiawei Han. (2011) "Approaches for Pattern Discovery Using Sequential Data Mining", Pattern Discovery Using Sequence Data Mining: Applications and Studies, Ed: Pradeep Kumar, Radha Krishna, Bapi Raju.
- Manish Gupta, Jiawei Han. (2011) "Applications of Pattern Discovery Using Sequential Data Mining", Pattern Discovery Using Sequence Data Mining: Applications and Studies, Ed: Pradeep Kumar, Radha Krishna, Bapi Raju.
- Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han. (2011) "Survey on Social Tagging Techniques", Social Network Data Analytics (Springer) Ed. Charu Aggarwal.
- Pre-print: Manish Gupta, Puneet Agarwal. “Compression of Deep Learning Models for Text: A Survey”. Arxiv.
- Short: Rajarshee Mitra, Manish Gupta, Sandipan Dandapat. “Transformer Models for Recommending Related Questions in Web Search”. The 29th ACM International Conference on Information and Knowledge Management (CIKM). Oct 19-23, 2020. Galway, Ireland.
- Tutorial: Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari. “Compression of Deep Learning Models for NLP”, The 29th ACM International Conference on Information and Knowledge Management (CIKM). Oct 19-23, 2020. Galway, Ireland.
- Tutorial: Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari. “Compression of Deep Learning Models for NLP” ,The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020). Jul 11-17, 2020. Yokohama, Japan.
- Industry Talk: Manish Gupta, Sonam Damani, Kedhar Nath Narahari. “Lessons from Large-scale Deployment of Transformer Models” The 42nd European Conference on Information Retrieval (ECIR 2020). Apr 14-17, 2020.
- Full: Sonam Damani, Kedhar Nath Narahari, Ankush Chatterjee, Manish Gupta, Puneet Agrawal. “OptimizedTransformer Models for FAQ Answering”, The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). May 11-16, 2020. Singapore.