I am a postdoctoral researcher and a part of Efficient Computing Lab lead by Prof. Zhong and Prof. Khandelwal's Lab in the Department of Computer Science at Yale University. My research interests lie in the fields of edge computing system, especially for system design in disaggregated data centers, machine learning-based resource optimization, and system-level network security for heterogeneous fog/edge devices.
TaeYoung Kim, Chang Kyung Kim, Seung-seob Lee, and SuKyoung Lee, “Incentive-Aware Partitioning and Offloading Scheme for Inference Services in Edge Computing,” IEEE Transactions on Services Computing, Accepted
TaeYoung Kim, HyungBin Park, YoungHwan Jin, Seung-seob Lee, and SuKyoung Lee, “Partition Placement and Resource Allocation for Multiple DNN-based Applications in Heterogeneous IoT Environments,” IEEE Internet of Things Journal, vol. 10, no. 11, 2023
Seung-seob Lee and SuKyoung Lee, “Resource Allocation for Vehicular Fog Computing using Reinforcement Learning Combined with Heuristic Information,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10450-10464, 2020.
Yena Kim, Seung-seob Lee, and SuKyoung Lee, “Coexistence of ZigBee-based WBAN and WiFi for Health Telemonitoring Systems,” IEEE Journal of Biomedical and Health Informatics, vol. 20, pp. 222–230, Jan. 2016.
2022.2–: Associate Research Scientist, Yale University, New Haven, Connecticut, U.S.
2020.2–2022.1: Postdoctoral Associate, Yale University, New Haven, Connecticut, U.S.
2019.9–2019.12: Researcher, Yonsei University, Seoul, Korea
2015.9–2016.5: Research Intern, Microsoft Research Asia, Beijing, China
M.S./Ph.D. (2011–2019), Computer Science, Yonsei University, Korea
B.S. (2007–2010), Computer Science, Yonsei University, Korea