The Pervasive Computing Lab at UMDearborn
The Pervasive Computing Lab is a hub of advanced research in cloud, mobile, edge, and vehicular computing. Our work encompasses the creation of efficient systems and innovative applications within pervasive computing, smart cities, and IoT. Underpinning our efforts is a profound belief that technology must be harnessed not merely for its inherent fascination, but for its transformative potential to substantially elevate the quality of human life and societal well-being. For collaboration opportunities, please contact Dr. Zheng Song at zhesong@umich.edu.
News
Our paper ``Client-Specific Homogeneous Service Composition at Runtime for QoS-Critical Tasks" is accepted to ICSOC'24 as a short paper (the acceptance rate for full and short papers is 22%). Congratulations to Zhengquan!
Our paper ``Cover More with Less: Eliminating Blind Spots for Surveillance Camera via Passive WiFi Sensing" is accepted to ICPADS'24. Congratulations to Khairul!
Congratulations to my MS students, Summit Shresha and Kiran Davuluri, on successfully defending their theses! Wishing you both continued success and all the best as you embark on the next chapter of your lives.
Our paper ``Decoding and Answering Developers’ Questions about Web Services Managed by Marketplaces" is accepted by IEEE SSE (formerly known as SCC) 2024 (Acceptance Rate: 22%). Congratulations to Siddhi, Chi, and all collaborators.
Our paper ``How Can I Be of Service?---A Comprehensive Analysis of Web Service Integration Practices" was accepted by IEEE ICWS'24 (Acceptance Rate: 19%). Congratulations to Siddhi, Olivia, and Pratiksha.
Our paper ``Edge Cache on WiFi Access Points: Millisecond-Level App Latency Almost for Free" was accepted by IEEE ICDCS'24 (Acceptance Rate: 21%) and won the Distinguished Paper Award! Congratulations to Zhengquan and Summit.
My MS. student, Alekhya, successfully defended her thesis. Congratulations!
Served on the PC of IWQoS'24, GreenCom'24, ICCCN'24, Publicity Co-Chair of ICSoC'24
Our paper ``Generative-AI Assisted Feedback Provisioning for Project-based Learning in CS Courses" is accepted by ASEE'24
Working Directions