Zheng Song

Zheng Song is an Assistant Professor in the Department of Computer and Information Science at the University of Michigan–Dearborn College of Engineering and Computer Science. He holds two PhDs: one in Distributed Systems and Software Engineering from Virginia Tech (2020) and another in Wireless Networking and Mobile Computing from Beijing University of Posts and Telecommunications (2015). His research focuses on middleware solutions for edge computing, service-oriented architecture, and distributed systems.

• PhD, Virginia Tech (2020)
• PhD, Beijing University of Posts and Telecommunications (2015)
• MS, China Agricultural University (2009)
• BS, China Agricultural University (2007)

Zheng's research spans edge computing, distributed systems, privacy-preserving algorithms, and computer science education. His work includes QoS-consistent edge services, microservice orchestration, and AI-driven birdwatching applications like Robin, which was featured in multiple 2025 publications.

Recent publications highlight Zheng's expertise in machine learning (IEEE SMC'25), web service integration (Empirical Software Engineering, 2025), and edge computing frameworks (IEEE Edge'19 Best Paper, NSF CRII grant 2021). His 15 most recent works demonstrate leadership in QoI-aware systems, privacy, and innovative teaching methodologies.

• NSF CRII Research Grant (2021)
• Best Paper Award, IEEE Edge 2019
• Distinguished Paper Award, IEEE ICDCS 2024
• 2nd Place, ACM Student Research Competition 2015
• CECS Teaching Excellence Award 2025

Zheng mentors students in MQTT middleware, serverless computing, and generative AI in education. His Pervasive Computing Lab has produced impactful projects like Robin (Best Senior Design Project 2025) and Blaze (fire safety system). Former students have been admitted to Georgia Tech, University of British Columbia, and UM-Ann Arbor.