Zheng Song, PhD

Assistant Professor, Computer and Information Science
Zheng Song
College of Engineering and Computer Science
Computer and Information Science
DAIR
313-436-9145
236 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128

Teaching Areas:

Computer and Information Science, Data Science

Research Areas:

Computing and Networks, Data Science, Machine Learning, Optimization, and Intelligent Systems

Biography and Education

Education

  • Ph.D., Virginia Tech
  • Ph.D., Beijing University of Posts and Telecomm.
  • M.S., China Agricultural University
  • B.S., China Agricultural University

Teaching and Research

Courses Taught

Selected Publications

  1. Zheng Song, Jack Wagner, Chen Wang, Mir Abidi, Traven Yarbro, Sabyasachi Dutta, ``Designing an AI4ALL Course for Establishing AI Literacy as a Baseline Skill for All University Graduates", ASEE'26 
  2. Khairul Mottakin, Xiao Zhang, and Zheng Song, ``BYOD-Gait: Spoofing Proof Gait Authentication with User-Owned Device", ICC'26 
  3. Summit Shrestha, Zheng Song, Eli Tilevich, Zhengquan Li, Christine Julien, and Probir Roy, "ScaleWave: Breaking Through Resource Bottlenecks to Scale Up Serverless Computing at the Edge", IEEE PERCOM'26 
  4. Zhengquan Li, and Zheng Song, "Tailored Homogeneous Service Composition at Runtime to Enhance User-Perceived Performance", IEEE Transactions on Service Computing, 2025 
  5. Zhengquan Li, Myungjin Lee, Zheng Song, "Always-On, Always-Mine: Federated Recommendation Systems on Personal Home Routers," ACM/IFIP Middlware'25 
  6. Eejoy Lim, Zheng Song, ``Measuring the Accuracy of Machine Learning Services with Minimum Labeling Efforts", SSE'25 
  7. Zheng Song, Summit Shrestha, Zhengquan Li, Khairul Mottakin, and Qiang Zhu, ``When Project-Based Learning Meets Edge Computing: an Experience Report", FIE'25 
  8. Syed Salauddin Mohammad Tariq, Ali Al Zein, Soumya Sripad Vaidya, Arati Khanolkar, Zheng Song and Probir Roy, ``Efficient Serverless Cold Start: Reducing Library Loading Overhead by Profile-guided Optimization", IEEE ICDCS'25 
  9. Zhengquan Li, Long Cheng, and Zheng Song, ``Client-Specific Homogeneous Service Composition at Runtime for QoS-Critical Tasks", ICSOC'24 
  10. Song Liao, Long Cheng, Xiapu Luo, Zheng Song, Haipeng Cai, Daphne Yao, and Hongxin Hu, ``A First Look at Security and Privacy Risks in the RapidAPI Ecosystem", ACM CCS'24 
  11. Siddhi Baravkar, Olivia Pellegrini*, Pratiksha Gaikwad, Eli Tilevich, and Zheng Song, ``How Can I Be of Service?''---A Comprehensive Analysis of Web Service Integration Practices, IEEE ICWS'24 
  12. Khairul Mottakin, Jinhua Guo, Zheng Song, ``Cover More with Less: Eliminating Blind Spots for Surveillance Camera via Passive WiFi Sensing", ICPADS'24 
  13. Zhengquan Li, Summit Shrestha, Zheng Song, Eli Tilevich, "Edge Cache on WiFi Access Points: Millisecond-Level App Latency Almost for Free", IEEE ICDCS'24 Distinguished Paper Award 
  14. Venkata Alekhya Kusam, Larnell Moore*, Summit Shrestha, Zheng Song , Jin Lu , Qiang Zhu, "Generative-AI Assisted Feedback Provisioning for Project-based Learning in CS Courses", ASEE'24 (the first three authors contributed equally to this paper). 
  15. Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu, "Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM", NeurIPS'23 
  16. Zheng "Jason" Song and Eli Tilevich, "Win with What You Have: QoS-Consistent Edge Services with Unreliable and Dynamic Resources," Proceedings of the 40th International Conference on Distributed Computing Systems (ICDCS 2020), July 2020

Awards and Recognition

  • Henry Ford Learning Institute Test Track, Social Impact Award, 2025
  • UMDearborn CECS Excellent in Teaching Award, 2025 
  • Distinguished Paper Award, IEEE ICDCS, 2024
  • Best Paper Award, IEEE CCWC, 2024
  • NSF CRII Award (Award #2104337), 2021
  • YESC (Young Experts in Services Computing) Student Paper Awards, IEEE SMDS, 2020
  • Best Paper Award IEEE Edge, 2019