My research interest lies in any computer systems or applications that are networked; Internet services, cloud, and systems for Artificial Intelligence. I focus on improving their performance to enhance the user experience with novel ideas.
I have worked on 1) applying neural enhancement to video streaming in a way that maximizes viewer experience and 2) designing a practical cell-scale scheduler for latency-sensitive traffic in 4G/5G networks.
- Ph.D., School of Electrical Engineering, KAIST
- Feb 2020 - Feb 2024 (Expected), Advisor: Dongsu Han
- M.S., School of Electrical Engineering, KAIST
- Aug 2018 - Feb 2020, Advisor: Dongsu Han
- B.S., School of Electrical Engineering, KAIST
- March 2014 - Aug 2018, Cum Laude
- EuroSysFlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks (to appear)In Proceedings of the Sixteenth European Conference on Computer Systems 2023
- CoNEXTOutRAN: Co-Optimizing for Flow Completion Time in Radio Access NetworkIn Proceedings of the 18th International Conference on Emerging Networking EXperiments and Technologies 2022 (Best Paper Award Nominee)
- SIGCOMMNeuroScaler: Neural Video Enhancement at ScaleIn Proceedings of the ACM SIGCOMM 2022 Conference 2022
- SIGCOMMNeural-Enhanced Live Streaming: Improving Live Video Ingest via Online LearningIn Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication 2020
- OSDINeural Adaptive Content-Aware Internet Video DeliveryIn Proceedings of the 13th USENIX Conference on Operating Systems Design and Implementation 2018