I research large-scale systems, services, and applications in the network environments of cloud, edge, and 5G/6G, spanning the following topics:

• AI systems, e.g., edge AI, federated/transfer/ensemble learning, distributed machine learning, and generative AI;
• Cloud/edge infrastructures, e.g., service provisioning, job scheduling, data management, and network telemetry;
• Energy systems, e.g., data center energy/carbon, demand response, and electric-vehicle-grid integration;
• Cybersecurity, e.g., distributed denial-of-service mitigation, and bot/anomaly detection;
• Multimedia, e.g., virtual reality, video streaming, gaming, and online social networks.

Featuring the synergy of computer science with engineering mathematics such as optimization, control, learning, game theory, and heuristics, my work investigates system efficiency, scalability, sustainability, and resilience through modeling, design, analysis, implementation, and evaluation. My research has been supported by funds from the National Science Foundation, including the CAREER award, and the industry. I primarily publish in networking and distributed computing journals (e.g., JSAC, ToN, TMC, TPDS) and conferences (e.g., INFOCOM, MOBIHOC, ICDCS, SECON, and ICNP).

I am a research associate professor at the University of Oregon, working with the Center for Cyber Security and Privacy. Previously I worked at Nokia Bell Labs in Ireland. I completed my Ph.D. (Dr. rer. nat.) degree in computer science (Informatik) at the University of Göttingen (Georg-August-Universität Göttingen), Germany, where my work was part of EU projects. I received the Ripple Faculty Fellowship, the Alcatel-Lucent Bell Labs UK and Ireland Recognition Award, and the Best Paper Awards of IEEE CNS 2019 and IEEE LANMAN 2013. I was a guest editor of JSAC. I have been on the program committees as a track (co-)chair for ICDCS and as a member for conferences such as INFOCOM, MOBIHOC, ICDCS, WWW, and IWQoS. I have also served as the program chair of multiple workshops with INFOCOM and ICDCS.

• 2024.11: Paper on scheduling AI inference in computing-power networks accepted by Elsevier Computer Networks.
• 2024.10: Paper on federated learning with in-network aggregation and flow routing accepted by IEEE SECON'24.
• 2024.10: Joined the IEEE ICMLCN'25 technical program committee.
• 2024.9: Joined the IEEE ICDCS'25 technical program committee.
• 2024.9: Paper on learning-based short video streaming accepted by IEEE Transactions on Parallel and Distributed Systems.
• 2024.8: Paper on the queueing theory for LLM inference accepted by WiOpt'24.
• 2024.6: Paper on scheduling and pricing LoRA fine-tuning jobs accepted by ICPP'24.
• 2024.5: To co-chair SocialMeta'24 in conjunction with ACM SenSys'24.
• 2024.5: Joined the IEEE INFOCOM'25 technical program committee.
• 2024.5: Paper on client selection for federated learning via bandit learning accepted by Elsevier Computer Networks.
• 2024.4: Papers on co-locating training and inference jobs and on scheduling generative-AI jobs accepted by IEEE/ACM IWQoS'24.
• 2024.4: Joined the ACM/IEEE SEC'24 technical program committee.
• 2024.2: Joined the IEEE/ACM IWQoS'24 technical program committee.
• 2024.1: Paper on DDoS mitigation by cloud-edge coordination accepted by IEEE Transactions on Mobile Computing.
• 2024.1: Paper on regularizing lookahead for online convex optimization accepted by IEEE/ACM Transactions on Networking.
• 2023.12: Paper on cloud-edge serverless inference accepted by IEEE Transactions on Mobile Computing.
• 2023.12: Joined the ACM MOBIHOC'24 technical program committee.
• 2023.10: Attended the 2023 NSF CSR PI Meeting in Durham, NC.
• 2023.10: Joined the IEEE ICDCS'24 technical program committee as the track co-chair for cloud computing and data centers.
• 2023.9: Joined the IEEE ICMLCN'24 technical program committee.
• 2023.6: Paper on joint orchestration of blockchain and federated learning accepted by IEEE SECON'23.
• 2023.6: Joined the IEEE MSN'23 technical program committee.
• 2023.4: Joined the IEEE INFOCOM'24 technical program committee.
• 2023.4: Served NSF on a review panel.
• 2023.3: Paper on federated split learning in cloud-edge networks accepted by IEEE/ACM IWQoS'23.
• 2023.2: Attended the NSF NeTS PI Meeting 2023.
• 2023.2: Paper on network telemetry with federated learning accepted by IEEE/ACM Transactions on Networking.
• 2023.2: Joined the IEEE/ACM IWQoS'23 technical program committee.
• 2023.2: Joined 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: To co-chair SocialMeta'23 in conjunction with IEEE ICDCS'23.
• 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: Joined the IFIP Networking'23 technical program committee.
• 2022.11: Patent on cloud workload management granted by the European Patent Office.
• 2022.11: Joined the IEEE ICDCS'23 technical program committee.
• 2022.10: Joined the ACM MOBIHOC'23 technical program committee.
• 2022.10: Delivered 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 joined my group as a new PhD student.
• 2022.9: Presented 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-chaired SocialMeta'22 in conjunction with IEEE ICDCS'22.
• 2022.7: Joined 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: Joined 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: Joined the IEEE MASS'22 technical program committee.
2022.3: Released 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: Joined 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: Joined the ITC 34 technical program committee.
2022.1: "News" before this date not collected.
• More news...