Jia (Kevin) Liu
Scholar

Jia (Kevin) Liu

Google Scholar ID: Ofx3dScAAAAJ
Associate Professor of Electrical & Computer Engineering, The Ohio State University; Amazon Scholar
Machine LearningNetwork OptimizationData AnalyticsCyber-Physical SystemsSecurity and Privacy
Citations & Impact
All-time
Citations
3,742
 
H-index
26
 
i10-index
58
 
Publications
20
 
Co-authors
120
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Received numerous best paper awards at top venues, including IEEE INFOCOM'19, IEEE INFOCOM'16, and others. IBM Pat Goldberg Memorial Best Paper Award Distinction of Honorable Mention (2024). NSF CAREER Award recipient (2020), DARPA Young Faculty Award (YFA) winner (2024), Google Faculty Research Award winner (2020). LAS Award for Early Achievement in Research at Iowa State University (2020), Bell Labs President Gold Award. Lead Editor of the Special Issue on AI and Networking of IEEE/ACM Transactions on Networking (2025). Associate Editor for IEEE Transactions on Cognitive Communications and Networking. Served on the TPC for numerous top conferences, including ICML, NeurIPS, ICLR, ACM SIGMETRICS, IEEE INFOCOM, and ACM MobiHoc.
Research Experience
  • From Aug. 2017 to Aug. 2020, he was an Assistant Professor in the Dept. of Computer Science at Iowa State University (ISU). Currently serves as the Managing Director of the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE) at OSU. He is a Co-Principal Investigator of the NSF TRIPODS D4 (Dependable Data-Driven Discovery) Institute at ISU. He is also a faculty investigator affiliated with the NSF ARA Wireless Living Lab PAWR Platform between ISU and OSU, and the Institute of Cybersecurity and Digital Trust (ICDT) at OSU.
Education
  • Received his Ph.D. degree from the Dept. of Electrical and Computer Engineering at Virginia Tech in 2010.
Background
  • Associate Professor in the Dept. of Electrical and Computer Engineering at The Ohio State University (OSU) and an Amazon Scholar with Amazon.com. His research areas include theoretical machine learning, stochastic network optimization and control, and performance analysis for data analytics infrastructure and cyber-physical systems.
Miscellany
  • His research is supported by NSF, DARPA, AFOSR, AFRL, ONR, Google, Meta, and Cisco.