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

• • In this year's CIS 489/589 course, my students and I developed a Wiki on edge computing. You can explore it here: http://www.edgecomputingbook.com/

  • Congratulations to Alekhya on receiving Ph.D. admission from the University of British Columbia (QS World Ranking: 38)! Your hard work and dedication to educational research truly paid off.  Fun fact: all three student authors of our ASEE 2024 paper are now pursuing their Ph.D. studies—at Georgia Tech, UM-Ann Arbor, and UBC. So proud of you all!

  • Robin, a senior design project developed by Jana Amin, Meriam Harissa, Jodi Joven, and Leah Mirch, won the Best Senior Design in CIS award at the 2025 Senior Design Competition. Kudos to the team!

  • Dr. Song received the CECS Teaching Excellence Award'25. 

  • Congratulations to Zhengquan Li on receiving the prestigious Rackham Predoctoral Fellowship!

  • Our paper got accepted to ICDCS'25. 

  • Our paper ``Towards a Comprehensive Understanding of Web Service Integration: A Large-Scale Empirical Study from the Developers' Perspective" has been accepted by Empirical Software Engineering (IF: 4.5)

  • ​Dr. Song was invited to deliver a research seminar at Wayne State University in March 2025.

  • Congratulations to Siddhi Baravkar and Zhengquan Li on receiving the 2025 Honor Scholar Award for the MS CIS program and for the Ph.D. CIS program. 

  • Our papers ``A Data Collection System for Assessing the Impact of Air Quality on  Human Wellbeing" and ``SpeedEye: A CrowdSourced Speeding Detection System for Safer Urban Neighborhoods" have been accepted by IEEE ICMI'25. Congratulations to Siddhi, Fatima, and Marwa, and collaborators.

  • Dr Song was invited to serve as a Program Committee (PC) member for IWQoS 2025, ICCCN 2025, and ICWS 2025, ICSoC 2025 and as a reviewer for NSF OAC panel. 

  • Our paper ``Evaluating the Effectiveness of Generative AI for Automated Quiz Creation: A Case Study" is accepted to ASEE. Congratulations to Alekhya.

  • 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 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. 

  • Congratulations to MS. student, Alekhya, for successfully defended her thesis!  

  • Dr. Song was invited to serve 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