Lei Jiao

Lei Jiao profile picture
  • Title: Assistant Professor
  • Phone: 541-346-3998
  • Office: 334 Deschutes Hall
  • Research Areas: Edge/Cloud Computing, AI/ML Computing, 5G/6G Networks, Network Security, Intelligent Transportation, Social Networks
  • Website: Website


Dr. rer. nat., Georg-August-Universität Göttingen, Germany, 2014


Lei Jiao is an assistant professor and a Ripple Fellow in the Department of Computer and Information Science at the University of Oregon. He used to work as a member of technical staff at Nokia Bell Labs in Dublin, Ireland and also as a researcher at IBM Research in Beijing, China. He received the Ph.D. (Dr. rer. nat.) degree in computer science (Informatik) from the University of Göttingen (Georg-August-Universität Göttingen), Germany. He publishes papers in journals such as JSAC, TPDS, ToN, and TMC, and in conferences such as INFOCOM, MOBIHOC, ICNP, ICDCS, SECON, and IPDPS. He is a recipient of the NSF CAREER Award. He also received the IEEE LANMAN Best Paper Award in 2013, the Alcatel-Lucent Bell Labs UK and Ireland Recognition Award in 2016, the IEEE CNS Best Paper Award in 2019, and the Ripple Faculty Fellowship in 2020. He has been on the technical program committees of many conferences, including INFOCOM (as a distinguished member), MOBIHOC, ICDCS, WWW, and IWQoS. He has served as the program chair of multiple symposiums/workshops with INFOCOM and ICDCS and also as a guest editor of JSAC.

Research Interests

Lei Jiao's research features the utilization of applied mathematics to lead the design and enhance the performance of engineering systems of practical relevance. He researches large-scale distributed computer and telecommunication systems, networks, and services, spanning edge/cloud computing, AI/ML computing, 5G/6G networks, network security, intelligent transportation, and social networks, through theories and mechanisms of optimization, control, learning, and economics. His work involves performance modeling, algorithm design, theoretical analysis, and experimental studies for system efficiency, scalability, resilience, and sustainability.