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.
I am passionate about building scalable, developer-friendly computing systems for disaggregated data centers, particularly to support emerging applications such as AI workloads through the co-design of systems and networking layers. More broadly, I am interested in embedded systems, operating systems, and AI-serving systems to enhance the performance and efficiency of modern computing environments.
Yupeng Tang, Seung-seob Lee, Abhishek Bhattacharjee, and Anurag Khandelwal, “PULSE: Accelerating Distributed Pointer-Traversals on Disaggregated Memory,” ASPLOS 2025 (to appear).
Seung-seob Lee, Yanpeng Yu, Yupeng Tang, Anurag Khandelwal, Lin Zhong, and Abhishek Bhattacharjee, “MIND: In-Network Memory Management for Disaggregated Data Centers,” in Proceedings of SOSP, 2021.
Caihua Li, Seung-seob Lee, and Lin Zhong, “Blindfold: Confidential Memory Management by Untrusted Operating System,” NDSS 2025 (to appear).
Seung-seob Lee, Hang Shi, Kun Tan, Yunxin Liu, SuKyoung Lee, and Yong Cui, “S2Net: Preserving Privacy in Smart Home Routers,” IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 3, pp. 1409-1424, 01 May-June 2021 (published online since June 2019).
In Gim, Seung-seob Lee, and Lin Zhong, “Asynchronous LLM Function Calling,” arXiv (under review).
In Gim, Guojun Chen, Seung-seob Lee, Nikhil Sarda, Anurag Khandelwal, and Lin Zhong, “Prompt Cache: Modular Attention Reuse for Low-Latency Inference,” in Proceedings of MLSys, 2024.
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, 2024.
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.
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