Manish Gupta, Ph.D.
Professor of Practice
Education
Ph.D., Computer Science (Data Mining), University of Illinois Urbana-Champaign, 2013
M.Tech., Computer Science, Indian Institute of Technology Bombay, 2007
B.E., Computer Engineering, University of Mumbai, 2005
Biography
Dr. Manish Gupta is a distinguished artificial intelligence researcher, educator, and technology leader whose work focuses on machine learning, deep learning, natural language processing, information retrieval, web mining, and data mining. He earned a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign, a Master of Technology in Computer Science from the Indian Institute of Technology (IIT) Bombay, and a Bachelor of Engineering from the University of Mumbai. Dr. Gupta is a Principal Applied Scientist at Microsoft and has also served as Adjunct Faculty at the International Institute of Information Technology Hyderabad and Visiting Faculty at the Indian School of Business. His research has advanced search technologies, intelligent systems, multimodal reasoning, and large-scale AI applications. Through his teaching, research, and industry leadership, Dr. Gupta helps students understand how advanced analytics and intelligent technologies can be applied to solve complex organizational and societal challenges.
Selected Publications
- Information Retrieval with Verbose Queries (Springer, 2015)
- Outlier Detection for Temporal Data (Springer, 2014)
- Trends and Applications in Knowledge Discovery and Data Mining (edited proceedings, 2021)
Representative selections from Dr. Gupta’s official Microsoft Research bibliography.
Patents and Patent Applications
- Feedback Guided Adaptive Retrieval and Indexing System for AI Search (2026)
- Hierarchical Retrieval Architecture for Grounding Large Language Models with Structured Data (2025)
- Personalized Refractive Surgery Recommendations for Eye Patients — US 10,426,551 B2
- Forecasting Eye Condition Progression — US 10,667,680 B2
- Automatic Generation of Fundus Drawings — US 10,163,241 B2
Representative selections from the official Microsoft Research patent list.