Desheng is an Associate Professor of Computer Science at Rutgers University. He is interested in bridging Cyber Physical Systems, Cyber Human Systems, Data Science and Machine Learning in Extreme-Scale Data-Intensive Urban Infrastructure from an Interdisciplinary perspective with extensive applications from transportation, to communication, and sharing economy. He is focused on the life cycle of data-driven systems, from mobile sensing, to cross-domain data fusion and prediction, decision making, visual data analytics, system optimization and deployment.
He strategically positions his research on Real-Time Interactions of Cross-Domain Urban Platforms and their human users, i.e., on-demand and express delivery (e.g., UberEat, Doordash, Instacart), transportation (e.g., taxis, buses, trucks, subways, bikes, personal & electric vehicles), telecommunication (e.g., cellphones), payment (e.g., smartcards), social networks (e.g., check-in and app logs). He has been investigating platforms across 8 cities on 3 continents with 100 thousand app users, 500 thousand vehicles, 10 million phones, 16 million smartcards, and 500 million residents involved.
His research group has 16 PHD students and is supported by various NSF, DoT, and industry awards with more than $6 million investment. His technical contributions have led to more than 100 papers in premium Computer Science venues, e.g., IMWUT/UbiComp, MobiCom, SIGCOMM, KDD, SenSys, NSDI, ICDE, SIGSPATIAL, IPSN, ICCPS, BigData, RTSS, ICDCS. Desheng is an NSF CAREER awardee and has been honored with 9 best paper/thesis/poster awards. In 2022, he was recognized as the Rutgers Board of Trustees Research Fellow for Scholarly Excellence.