Zheng Song, PhD
Assistant Professor, Computer and Information Science
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 ScienceResearch Areas:
Computing and Networks, Data Science, Machine Learning, Optimization, and Intelligent SystemsBiography 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
- 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
- Khairul Mottakin, Xiao Zhang, and Zheng Song, ``BYOD-Gait: Spoofing Proof Gait Authentication with User-Owned Device", ICC'26
- 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
- Zhengquan Li, and Zheng Song, "Tailored Homogeneous Service Composition at Runtime to Enhance User-Perceived Performance", IEEE Transactions on Service Computing, 2025
- Zhengquan Li, Myungjin Lee, Zheng Song, "Always-On, Always-Mine: Federated Recommendation Systems on Personal Home Routers," ACM/IFIP Middlware'25
- Eejoy Lim, Zheng Song, ``Measuring the Accuracy of Machine Learning Services with Minimum Labeling Efforts", SSE'25
- Zheng Song, Summit Shrestha, Zhengquan Li, Khairul Mottakin, and Qiang Zhu, ``When Project-Based Learning Meets Edge Computing: an Experience Report", FIE'25
- 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
- Zhengquan Li, Long Cheng, and Zheng Song, ``Client-Specific Homogeneous Service Composition at Runtime for QoS-Critical Tasks", ICSOC'24
- 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
- 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
- Khairul Mottakin, Jinhua Guo, Zheng Song, ``Cover More with Less: Eliminating Blind Spots for Surveillance Camera via Passive WiFi Sensing", ICPADS'24
- 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
- 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).
- Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu, "Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM", NeurIPS'23
- 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