Debasree Das

Debasree Das is a Research Assistant at the University of Bamberg, working under the Chair of Mobile Systems within the Faculty of Business, Information Systems and Applied Computer Science. She holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology, Kharagpur (2019-2024) and has held prior roles as a Teaching Assistant at IIEST Shibpur (2017-2018) and Associate at Cognizant Technology Solutions (2018-2019).

• Ph.D. in Computer Science and Engineering, IIT Kharagpur (2019-2024)
• M.Tech in Computer Science and Engineering, IIEST Shibpur (2016-2018)
• B.Tech in Computer Science and Engineering, West Bengal University of Technology (2012-2016)

Her research focuses on data anonymization for intermodal trajectories, privacy-utility trade-offs, and ubiquitous computing in transportation systems. She explores spatiotemporal data modeling, contextual mobility analysis, and safety mechanisms for micromobility (e-scooters, bicycles) using causal inferencing and pervasive sensing techniques. Her work bridges human-computer interaction with urban mobility challenges, emphasizing differential privacy and dynamic road safety mapping.

Recent publications highlight her contributions to privacy-preserving mobility analytics, causal modeling for driving behavior, and context-aware transportation systems. She has served as a co-organizer for IEEE TrustSense Workshop, Publicity Co-Chair for ICDCN 2026, and TPC member for multiple conferences including COMSNETS and IEEE AIoT.

• Best Paper Runner Up Award at IEEE MDM 2022
• Second Winner Prize at IBM Maitreyee 2022
• Institute Silver Medal at IIEST Shibpur 2018
• Shri Dewang Mehta IT Award 2016
• Inspire Award Warrant 2010

She supervises masters theses on mobility data anonymization and micromobility service optimization, contributes to projects like the Urban Data Platform for Bamberg, and is part of research groups including UbiNET and CNeRG. Her work integrates machine learning, sensor telemetry, and urban dynamics to address modern transportation challenges.