Profile picture of Lei Jiao

Lei Jiao

Assistant Professor
Computer Science
Phone: 541-346-3998
Office: 334 Deschutes Hall
Office Hours: W 12-1:30pm
Research Interests: Edge/Cloud Computing, Distributed AI/ML, Security and Privacy, Energy and Transportation, Social Networks and Multimedia

Biography

Lei Jiao is an assistant professor in the Department of Computer Science at the University of Oregon. His research has been primarily funded by the National Science Foundation, including via a CAREER award, and the industry. His publications often appear in premier journals such as JSAC, ToN, TPDS, and TMC and conferences such as INFOCOM, MOBIHOC, ICDCS, SECON, ICNP, and IPDPS. He received the Ripple Faculty Fellowship, the Alcatel-Lucent Bell Labs UK and Ireland Recognition Award, and multiple Best Paper Awards including IEEE LANMAN 2013 and IEEE CNS 2019. He has been on the technical program committees of many conferences, including INFOCOM (Distinguished Member), MOBIHOC, ICDCS, WWW, and IWQoS, and has also served as the program chair of multiple symposiums/workshops with INFOCOM and ICDCS and as a guest editor of JSAC. Earlier, he worked as a member of technical staff at Nokia Bell Labs in Dublin, Ireland and 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, where his research was part of EU FP7 projects.

Education

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

Research Interests

Lei Jiao researches large-scale distributed computer and telecommunication systems, networks, and services, and applies mathematics to leading the design, enhancing the performance, and characterizing the limits of engineering practices. Centered on edge computing and cloud computing, his work spans multiple themes: (i) edge and cloud infrastructures; (ii) distributed artificial intelligence; (iii) security and privacy; (iv) energy and transportation; and (v) social networks and multimedia. Through theories and principles of optimization, control, learning, and economics, his work involves performance modeling, algorithm design, theoretical derivations, and experimental studies for system efficiency, scalability, resilience, and sustainability.