Youngjae Kim
Scholar

Youngjae Kim

Google Scholar ID: OpB9tJkAAAAJ
Professor, Department of Computer Science and Engineering, Sogang University
Operating SystemFile and Storage SystemDistributed System
Citations & Impact
All-time
Citations
2,090
 
H-index
24
 
i10-index
53
 
Publications
20
 
Co-authors
28
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - [HiPC '25] Yeonwoo Jeong, Hyunji Cho, Kyuli Park, Youngjae Kim, Sungyong Park, CALL: Context-Aware Low-Latency Retrieval in Disk-Based Vector Databases, IEEE International Conference on High Performance Computing, Data, and Analytics, 2025. (BK21 PLUS, Distinguished Paper Award Nomination)
  • - [MASCOTS'25] Kihyun Kim, Jinwoo Kim, James J. Kim, Dong Li, Youngjae Kim, FlexLLM: Flexible and Cost-Efficient LLM Serving with Heterogeneous GPUs, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 2025. (Outstanding Conference)
  • - [CLOUD'25] Kihyun Kim, Jinwoo Kim, Hyunsun Chung, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim, Cost-Efficient VM Selection for Cloud-Based LLM Inference with KV Cache Offloading, IEEE International Conference on Cloud Computing, 2025. (Outstanding Conference)
  • - [CLOUD'25] Hyungwoo Lee, Kihyun Kim, Jinwoo Kim, Jungmin So, Myung-Hoon Cha, Hong-Yeon Kim, James J. Kim, Youngjae Kim, Disk-Based Shared KV Cache Management for Fast Inference in Multi-Instance LLM RAG Systems, IEEE International Conference on Cloud Computing, 2025. (Outstanding Conference)
  • - [CCGRID'25] Yoochan Kim, Hong-Yeon Kim, Weikuan Yu, Youngjae Kim, MemoryBridge: Leveraging Cloud Resource Characteristics for Cost-Efficient Disk-based GNN Training via Two-Level Architecture, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2025. (Outstanding Conference)
  • - [CCGRID'24] Yoochan Kim, Kihyun Kim, Yonghyeon Cho, Jinwoo Kim, Awais Khan, Ki-Dong Kang, Baik-Song An, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim, DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2024.
Research Experience
  • - Professor, Dept. of Computer Science & Engineering, Sogang University, 2016-Present
  • - Visiting Professor, Global Quality Reliability Assurance, SK hynix, 2025
  • - Technical Advisor, Soteria Systems, LLC, 2024-2025
  • - Visiting Professor, Memory System Research, SK hynix, Jul. 2022-Jun. 2023
  • - R&D Staff Member, US Department of Energy's Oak Ridge National Laboratory, TN, USA, 2009-2015
  • - Adjunct Professor, School of Electrical & Computer Engineering, Georgia Institute of Technology, GA, USA, 2011-2014
  • - Faculty Affiliate, The University of Tennessee, TN, USA, 2011-2015
  • - Research Engineer, Embedded OS Team, Embedded Software Center, ETRI, Daejeon, Korea, 2003-2004
Education
  • - Ph.D. in Computer Science and Engineering, The Pennsylvania State University, 2009 (Advisor: Prof. Anand Sivasubramaniam)
  • - M.S. in Computer Science, KAIST, Korea, 2001-2003 (Emeritus Prof. Seungryoul Maeng)
  • - B.S. (honors) in Computer Science, Sogang University, Korea, 1995-2001 (Soldier, Korea Military Army, 1996-1998)
Background
  • Research Interests:
  • - Infrastructure-Aware AI Systems: From Distributed Training to LLM Serving
  • - High-Performance and Intelligent Storage Systems for Data-Intensive Workloads
  • - Cross-Layer Design for Storage, Memory, and Compute in Large-Scale HPC Systems
  • - Next-Generation Key-Value Stores: Performance, Efficiency, and Device Integration
  • - Operating System and File System Support for ZNS, FDP, and SSDs
  • - Next-Generation SSDs for AI: GPU-Direct and VectorDB Acceleration