Lecturer at University of Glasgow School of Computing Science
Glasgow, Scotland, United Kingdom
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Summary
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Debasis Ganguly is a Lecturer in Computing Science at the University of Glasgow with 11 years of experience bridging academic research and industry practice in information retrieval, NLP, and explainable AI. Previously a Research Staff Member at IBM Research Dublin and a postdoctoral researcher in Irish universities, he focuses on fairness, trustability, explainability and privacy preservation in IR/ML systems. His background spans applied R&D—early-career work in synthesis and streaming systems—to cutting-edge ML research, giving him a strong mix of systems and algorithmic perspectives. He has supervised PhD students and collaborated across academia and industry, often exploring how user engagement signals and topic modelling improve search and discoverability. Notably, his work consistently aims to make opaque models more auditable and privacy-aware for real-world search applications.
11 years of coding experience
9 years of employment as a software developer
M.Tech(Hons.) Computer Science, M.Tech(Hons.) Computer Science at Cybersecurity
B.Tech Computer Science, B.Tech Computer Science at University of Kalyani
Doctor of Philosophy (PhD) Information Retrieval, Doctor of Philosophy (PhD) Information Retrieval at Dublin City University
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