I am an assistant professor in the Department of Computer Science at the University of Oregon. I research large-scale distributed computer and communication systems, networks, and services. Centering around edge computing and cloud computing, my work spans multiple topics: (i) edge and cloud infrastructures; (ii) machine learning systems; (iii) security and privacy; (iv) energy and transportation; and (v) social networks and multimedia. My work uses theories and principles of optimization, control, learning and economics to lead the design, enhance the performance and characterize the limits of engineering systems, and involves system modeling, algorithm design, theoretical derivations, and experimental studies for system efficiency, scalability, resilience, and sustainability. My research has been primarily funded by the National Science Foundation, including via a CAREER award, and the industry. My publications appear in premier journals such as JSAC, ToN, TPDS, and TMC and conferences such as INFOCOM, MOBIHOC, ICDCS, SECON, ICNP, and IPDPS.

I received the Ripple Faculty Fellowship, the Alcatel-Lucent Bell Labs UK and Ireland Recognition Award, and several Best Paper Awards including IEEE LANMAN 2013 and IEEE CNS 2019. I have been on the technical program committees of many conferences such as INFOCOM (as a Distinguished Member), MOBIHOC, ICDCS, WWW, and IWQoS, and have been a regular reviewer for many journals. I have also served as the program chair of multiple symposiums/workshops with INFOCOM and ICDCS and as a guest editor of JSAC. I used to work at Nokia Bell Labs in Dublin, Ireland as a member of technical staff and at IBM Research in Beijing, China as a researcher. I received the Ph.D. (Dr. rer. nat.) degree in computer science (Informatik) from the University of Göttingen (Georg-August-Universität Göttingen) in Germany, where my research was part of EU FP7 projects.

• 2023.2: Attending the NSF NeTS PI Meeting 2023.
• 2023.2: Paper on network telemetry with federated learning accepted by IEEE/ACM Transactions on Networking.
• 2023.2: Joining the IEEE/ACM IWQoS'23 technical program committee.
• 2023.2: Joining the ITC 35 technical program committee.
• 2023.1: Paper on cloud multi-source video streaming accepted by IEEE Transactions on Mobile Computing.
• 2023.1: Paper on data acquisition for federated learning accepted by Elsevier Computer Networks.
• 2022.12: SocialMeta'23 to be co-located with IEEE ICDCS'23. Stay tuned.
• 2022.12: Paper on federated learning demand response accepted by IEEE INFOCOM'23.
• 2022.12: Paper on serverless edge video streaming accepted by IEEE INFOCOM'23.
• 2022.11: Joining the IFIP Networking'23 technical program committee.
• 2022.11: Patent on cloud workload management granted by the European Patent Office.
• 2022.11: Joining the IEEE ICDCS'23 technical program committee.
• 2022.10: Joining the ACM MOBIHOC'23 technical program committee.
• 2022.10: Delivering a colloquium talk about my recent research to our computer science department.
• 2022.10: NSF project on edge AI with streaming data reported by the university news.
• 2022.9: Quang Dang joining my group as a new PhD student.
• 2022.9: Presenting our DDoS mitigation work in IEEE SECON'22.
• 2022.9: Paper on edge demand response with EVs accepted by IEEE Transactions on Mobile Computing.
• 2022.8: Project on edge AI with streaming data selected for funding by NSF.
• 2022.7: Paper on incentivizing online edge caching accepted by IEEE SECON'22.
• 2022.7: Paper on DDoS mitigation by cloud-edge coordination accepted by IEEE SECON'22.
• 2022.7: Paper on bandit learning with switching cost accepted by ACM MOBIHOC'22.
• 2022.7: Co-chairing SocialMeta'22 in conjunction with IEEE ICDCS'22.
• 2022.7: Joining the IEEE ICC'23 technical program committee.
• 2022.6: Paper on video edge caching accepted by IEEE Transactions on Parallel and Distributed Systems.
• 2022.6: Paper on contact tracing accepted by IEEE Journal on Selected Areas in Communications.
2022.4: Joining the IEEE INFOCOM'23 technical program committee.
2022.4: Paper on cloud-edge machine learning scheduling accepted by IEEE Journal on Selected Areas in Communications.
2022.4: Research on DDoS mitigation reported by the university news.
2022.4: Joining the IEEE MASS'22 technical program committee.
2022.3: Releasing the undergraduate research projects and the new application portal for our department.
2022.2: Recognized as a distinguished member of the IEEE INFOCOM'22 technical program committee.
2022.2: Joining the IEEE/ACM IWQoS'22 technical program committee.
2022.1: Paper on machine learning scheduling on server clusters accepted by IEEE Transactions on Cloud Computing.
2022.1: Joining the ITC 34 technical program committee.
2022.1: "News" before this date not collected.
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