Sogang University (Youngjae Kim)

Youngjae Kim (PhD)

Professor, Department of Computer Science and Engineering
Joint Professor, Department of Artificial Intelligence
Sogang University, Seoul, Republic of Korea

Director, BK21 FOUR Program for World-Class, Practice-Oriented Big Data Convergence Talent Development
Co-Director: DISCOS (Data-IntenSive AI COmputing and Systems Laboratory)

Office: AS911, 35 Baekbeom-ro, Mapo-gu, Seoul, Republic of Korea, 04107
Tel: +82-2-705-8933, E-mail: youkim.AT.sogang.ac.kr

Research Interest

Knowledge Graph-Augmented Agentic AI Systems and RAG Systems

LLM Serving Systems, Efficient LLM Inference, Distributed LLM Serving, and Deep Learning Training Systems

Cloud AI Infrastructure, Distributed and Heterogeneous Resource Management, and AI Resource Orchestration

Storage Systems, NVMe and CXL Systems, Key-Value SSDs, Computational Storage, and Memory Systems

Education

Ph.D. in Computer Science and Engineeering, The Pennsylvania State University, University Park, PA, USA, 2024–2009.
(Advisor: Prof. Anand Sivasubramaniam)
M.S. in Computer Science, KAIST, Korea, 2021–2003.
(Advisor: Emeritus Prof. Seungryoul Maeng)
B.S. with honors in Computer Science, Sogang University, Seoul, Korea, 1995-2001.
(Military Service: Republic of Korea Army, 1996–1998)

Industry Appointment, Leadership & Research/Academic Experience

R&D Staff Scientist, U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL), TN, USA, 2009–2015
Chief Scientific Officer, Clush, Oct. 2026-Present
Visiting Professor, LG Electronics, Sept. 2026-Present
Technical Advisor & Visiting Professor, SK hynix (Global Quality & Reliability Assurance), April 2025–Sept. 2026
Technical Advisor & Visiting Professor, SK hynix (Memory System Research), July 2022–June 2023
Department Head, Computer Science & Engr., Sogang University, 2023–2025
Adjunct Professor, Georgia Institute of Technology (School of Electrical and Computer Engineering), Atlanta, GA, USA, 2011–2014
Joint Professor, The University of Tennessee, Knoxville, TN, USA, 2011–2015
Assistant Professor, Department of Computer Engineering, Ajou University, Suwon, Korea, 2015–2016
Research Engineer, ETRI (Electronics and Telecommunications Research Institute) (Embedded OS Team, Embedded Software Center), Daejeon, Korea, 2003–2004

Selected Publications (Conference Only)
AI & ML Systems: LLM-CKPT (NeurIPS 2026), SurrogateKV (EMNLP 2026 Findings), AegisKV (CIKM 2026), DUAL-BLADE (ICDCS 2026), PAVE (MASCOTS 2026), LLM-Pilot (CCGRID 2026), FlexLLM (MASCOTS 2025), MemBridge (CCGRID 2025), DeepVM (CCGRID 2024)
Cloud, HPC, Distributed Systems: OASIS (SC 2026), Scout-and-Reduce (MSST 2026), CODA (Cloud 2026), KVCSD (Cluster 2023), OBJ-Profiler (SC 2017), TagIt (SC 2017), AnalyzeThis (SC 2015), LADS (FAST 2015), OLCF-PFS (SC 2014), Active Flash (FAST 2013), D-Factor (SIGMETRICS 2012), NVMalloc (IPDPS 2012), Burst Buffer (ICDCS 2011), FP-Manycore (SC 2010)

Database & File Systems: DIALSM (ICDE 2027), CoFDP (SoCC 2026), P-Append (Middleware 2026), ColdMap (ICS 2026), BucketLSM (CCGRID 2026), VeX (CCGRID 2026), KVAccel (IPDPS 2025), ByteExpress (HotStorage 2025), DedupKV (ICS 2025), BandSlim (ICPP 2024), ZACA (MSST 2024), BAZA (MASCOTS 2024), DeNOVA (IPDPS 2022), F2FS (SYSTOR 2019)
Computer Architecture & Storage Systems: OpenCXD (MASCOTS 2025), IterKVSSD (SYSTOR 2023), DiskShield (ASIACCS 2020), iLSM-SSD (MASCOTS 2019), PGC (ISPASS 2011), Harmonia (MSST 2011), HybridStore (MASCOTS 2011), DFTL (ASPLOS 2009), ThermoStat (HPCA 2007), Thermo-RAID (HPCA 2006)

Paper Awards & Honors
BucketLSM (CCGrid 2026, Best Student Paper Nominee Award), ByteExpress (HotStorage 2025, Best Paper Award), Iso-KVSSD (HotStorage 2021, Best Paper Nominee), Amoeba (CAL 2018, Best Paper Award), PGC-SSD (ISPASS 2011, Best Paper Nominee), ThermoStat (HPCA 2007, Best Paper Nominee)

Efficient and Scalable AI Systems & Cloud Infrastructure (LLM Serving, KV Cache Management & Compression, Model/Prompt Optimization, Knowledge Graphs, RAG, Distributed Training, Checkpointing, and Cloud Resource Optimization)

[LLM Training Systems] Farid Talibli, Awais Khan, Christopher Zimmer, Sungyong Park, Jihoon Yang, Youngjae Kim, When Must AI Training Stage Checkpoints? A Distributional Model of Durability Boundaries at Scale, NeurIPS 2026.
[LLM Inference & Compression] Junwon Kim, Junghyun Ryu, Farid Talibli, Jungmin So, Youngjae Kim, SurrogateKV: Representation-Preserving KV Cache Compression for Long-Context LLMs, EMNLP Findings 2026.
[GraphRAG] Youngjune Kang, Jaehyung Yoon, Chae Eun Youn, Kyungeun Kim, Youngjae Kim, QFuse: Preserving Precise Queryability in Knowledge Graphs over Structured and Unstructured Data, The 2nd International Workshop on Graph-Augmented LLMs (GaLM 2026), co-located with ACM CIKM 2026
[LLM Serving & Resource Management] Kihyun Kim, Seong Jang, Min Heo, Jinwoo Kim, James J. Kim, Youngjae Kim, AegisKV: Runtime Headroom Control for Online LLM Serving via Adaptive Attention Offloading, ACM Conference on Knowledge and Information Management (CIKM 2026).
[LLM Serving & KV Cache Management] Seong Jang, Kihyun Kim, Jinwoo Kim, Min Heo, Dong Li, Youngjae Kim, PAVE: Partial KV Cache Eviction for Fine-Grained KV Reclamation in LLM Serving, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2026).
[LLM Serving & I/O Optimization] Bodon Jeong, Hongsu Byun, Youngjae Kim, Weikuan Yu, Kyungkeun Lee, Jihoon Yang, Sungyong Park, DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference, IEEE International Conference on Distributed Computing Systems (ICDCS 2026).
[LLM Serving & Cloud Cost Optimization] Jinwoo Kim, Kihyun Kim, Hyunsun Chung, Jihoon Yang, James J. Kim, Dong Li, Youngjae Kim, LLM-Pilot: SLO-Aware and Cost-Efficient LLM Serving on Public Cloud VM Clusters via Offloading, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2026).
[RAG & Vector Search] Kihwan Kim, Hyungsun Yoo, Woojung Kim, Donghyun Min, Myungcheol Lee, Jihoon Yang, Weikuan Yu, Youngjae Kim, VEX: Scaling HNSW-Based Vector Search with DPU Memory and Parallelism, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2026).
[Cloud Storage & Distributed File Systems] Kyuli Park, Sungmin Yoon, Awais Khan, Sungyong Park, Youngjae Kim, CODA: Breaking CPU Bottlenecks for Scalable Ceph with DPU-Based OSD Decoupling, IEEE International Conference on Cloud Computing (CLOUD 2026).
[LLM Serving & Cloud Cost Optimization] 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 (CLOUD 2025).
[LLM Serving & RAG Systems] 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 (CLOUD 2025).
[LLM Serving & Heterogeneous GPUs] 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 (MASCOTS 2025).
[GNN Training & Cloud Cost Optimization] 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 (CCGRID 2025).
[Deep Learning Training & Cloud Cost Optimization] 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 (CCGRID 2024).
[Cloud Storage & Load Orchestration] Yeohyeon Park, Junhyeok Park, Awais Khan, Jungwhan Park, Chang-Gyu Lee, Woosuk Chung, Youngjae Kim, OctoKV: An Agile Network-based Key-Value Storage System with Robust Load Orchestration, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2023).
[Cloud Storage & Resource Orchestration] Prince Hamandawana, Awais Khan, Chang-Gyu Lee, Sungyong Park, Youngjae Kim, Crocus: Enabling Computing Resource Orchestration for Inline Cluster-wide Deduplication on Scalable Storage Systems, IEEE Transactions on Parallel and Distributed Systems (TPDS 2020).
[Cloud Storage & Deduplication] Awais Khan, Chang-Gyu Lee, Prince Hamandawana, Sungyong Park, Youngjae Kim, A Robust Fault-Tolerant and Scalable Cluster-wide Deduplication for Shared-Nothing Storage Systems, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2018).
[Cloud Computing & Performance Modeling] Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim, Galen M. Shipman, Chita Das, D-Factor: A Quantitative Model of Application Slow-Down in Shared Service Systems with Multiple Resources, ACM Int'l Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2012).
[Cloud Computing & Performance Modeling] Seung-Hwan Lim, Jae-Seok. Huh, Youngjae Kim, Chita Das, Migration, Assignment, and Scheduling of Jobs in Virtualized Environment, USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 2011).

Graph Neural Network Training System

Cost-Efficient LLM Serving on AWS

Machine Learning and Applications

[ML] 계층적 클래스 인식 디퓨전 모델 기반 불균형 금융 테이블 데이터 합성 연구, 최현기, 김영재, 한국정보과학회 논문지, Vol. 53, No. 9, pp. 913–919, 2026
[ML, LLM-RAG] SymbolicRAG: 추상 구문 트리 기반 구조 인지형 검색증강생성을 활용한 수학 단답형 자동채점 (SymbolicRAG: AST-Based Structure-Aware RAG for Automated Mathematical Short-Answer Grading), 권재우, 김영재, 한국소프트웨어종합학술대회 (KSC2025), 여수엑스포컨벤션센터, 2025년 12월 16일-19일 - 한국정보과학회.
[ML, LLM-RAG] Speculative RAG의 효율적 초안 생성을 위한 다중 클러스터링과 유사도 기반 샘플링 기법 (Multi-Clustering and Similarity-based Sampling for Efficient Draft Generation in Speculative RAG), 안규원, 김영재, 한국소프트웨어종합학술대회 (KSC2025), 여수엑스포컨벤션센터, 2025년 12월 16일-19일 - 한국정보과학회.
[ML] 멀티태스크 LLM 기반 정책 반영 여부 예측 성능 향상을 위한 랜덤포레스트 활용에 관한 연구 (Multi-task LLM-based Method for Policy Adoption Prediction with Random Forest), 이동섭, 김영재, 한국컴퓨터종합학술대회(KCC2025), 제주국제컨벤션센터(ICC 제주), 2025년 7월 2일-4일.

Data-Centric HPC, Cloud, and Distributed Systems (Scientific Data Analytics, Data Management and Movement, Storage-Side Computing, Resource Orchestration, and HPC/Cloud Infrastructure)

[HPC Storage & Scientific Data Analytics] Soon Hwang, Junhyeok Park, Junghyun Ryu, Seonghoon Ahn, Jeongahn Park, Jeongjin Lee, Jinna Yang, Soonyeal Yang, Jungki Noh, Qing Zeng, Woosuk Chung, Hoshik Kim, Youngjae Kim, OASIS: Object-based Analytics Storage for Multi-layer SQL Offloading in Scientific Tabular Workloads, ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2026).
[HPC Storage & GPU Analytics] Soon Hwang, Jungki Noh, Woosuk Chung, Youngjae Kim, Scout-and-Reduce: Budget-Aware Storage-Side Reduction for Memory-Safe GPU Analytics, International Conference on Massive Storage Systems and Technology (MSST 2026).
[HPC Storage & Hardware Acceleration] Inhyuk Park, Qing Zeng, Dominic Manno, Soonyeoal Yang, Jason Lee, David Bonnie, Bradley Settlemyer, Youngjae Kim, Woosuk Chung, Gray Grider, KV-CSD: A Hardware-Accelerated Key-Value Store for Data-Intensive Applications, IEEE International Conference on Cluster Computing (CLUSTER 2023).
[HPC Storage & Data Discovery] Hyogi Sim, Awais Khan, Sudharshan Vazhkudai, Seung-Hwan Lim, Ali Butt, Youngjae Kim, An Integrated Indexing and Search Service for Distributed File Systems, IEEE Transactions on Parallel and Distributed Systems (TPDS 2020).
[HPC Data Management & Scientific Collaboration] Awais Khan, Taeuk Kim, Hyunki Byun, Youngjae Kim, SCISPACE: A Scientific Collaboration Workspace for GeoDistributed HPC Data Centers, Future Generation Computer Systems (FGCS 2019).
[HPC Networking & Big Data Transfer] Youngjae Kim, Scott Atchley, Geoffroy R. Vallée, Sangken Lee, Galen M. Shipman, Optimizing End-to-End Big Data Transfers over Terabits Network Infrastructure, IEEE Transactions on Parallel and Distributed Systems (TPDS 2017).
[HPC Storage & Data Discovery] Hyogi Sim, Youngjae Kim, Sudharshan Vazhkudai, Geoffroy R. Valle ́e, Seung-Hwan Lim, Ali Butt, TagIt: An Integrated Search and Discovery Service for File Systems, ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2017).
[HPC Memory Systems & Access Characterization] Xu Ji, Chao Wang, Nosayba El-Sayed, Xiaosong Ma, Youngjae Kim, Sudharshan S. Vazhkudai, Wei Xue, Daniel Sanchez, Understanding Object-level Memory Access Patterns Across the Spectrum, ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2017).
[HPC Storage & Workflow-Aware Analytics] Hyogi Sim, Youngjae Kim, Sudharshan Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Butt, Lavayna Ramakrishnan, AnalyzeThis: An Analysis Workflow-Aware Storage System, ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2017).
[HPC Storage & Data Transfer Optimization] Youngjae Kim, Scott Atchley, Geoffroy R. Vallee, Galen M. Shipman, LADS: Optimizing Data Transfers Using Layout-Aware Data Scheduling, USENIX Conference on File and Storage Technologies (FAST 2015).
[HPC Storage & Parallel File Systems] Sarp Oral, et al, Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems, ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2014).
[HPC Storage & In-Situ Data Analytics] Devesh Tiwari, Simona Bobila, Sudharshan Vazhkudai, Youngjae Kim, Xiaosong Ma, Peter Desnoyers, Yan Solin, Active Flash: Towards Energy-Efficient, In-Situ Data Analytics on Extreme-Scale Machines, USENIX Conference on File and Storage Technologies (FAST 2013).
[HPC Storage & In-Situ Data Analytics] Devesh Tiwari, Sudharshan Vazhkudai, Youngjae Kim, Xiaosong Ma, Simona Boboila, Peter Desnoyers, Reducing Data Movement Costs using Energy-Efficient Active, Computation on SSD, USENIX Workshop on Power-Aware Computing and Systems (HotPower 2012).
[HPC Memory & SSD-Based Memory Extension] Chao Wang, Sudharshan Vazhkudai, Xiaosong Ma, Fei Meng, Youngjae Kim, Christian Engelmann, NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines, IEEE Int'l Parallel and Distributed Processing Symposium (IPDPS 2012).
[HPC Storage & Multi-Tier Data Staging] Ramya Prabhakar, Sudharshan Vazhkudai, Youngjae Kim, Ali Butt, Min Li, Mahmut Kantemir, Provisioning a Multi-Tiered Data Staging Area for Extreme-Scale Machines, International Conference on Distributed Computing Systems (ICDCS 2011).
[HPC Architecture & Many-Core Optimization] Min Li, Sudharshan Vazhkudai, Ali Butt, Fei Meng, Xiaosong Ma, Youngjae Kim, Christian Engelmann, Galen M. Shipman, Functional Partitioning to Optimize End-to-End Performance on Many-Core Architectures, IEEE/ACM Int'l Conference on High Performance Computing, Networking, Storage and Analysis (SC 2010).

Big Data Analytics Storage

Searchable DFS

Key-Value Stores, File and Storage Systems, and Emerging I/O Technologies (NVMe, CXL) (Key-Value Stores, File Systems, ZNS/FDP SSDs, Computational & KV SSDs, Host–Device Co-design, NVMe, and CXL)

[NVMe Storage & Small-Payload I/O Optimization] Junhyeok Park, Junghee Lee, Youngjae Kim, Redesigning Small Payload Transfer Paths for Emerging NVMe SSD Workloads, ACM Transactions on Storage (TOS), (in revision)
[Key-Value Stores & LSM-Tree Scalability] Hongsu Byun , Safdar Jamilm, Hongyeon Yoo, Sungyong Park, Myungcheol Lee, Xubin He, Zhichao Cao, Youngjae Kim, DIALSM: Towards Write-Stall-Free Performance via Shard-based LSM-tree, IEEE International Conference on Data Engineering (ICDE 2027).
[FDP SSDs & User-Kernel Co-design] Sungjin Byeon, Jaewan Park, Soon Hwang, Sangyun Lee, Kyungwook Min, Hajin Moon, Taewan Noh, Joo-Young Hwang, Junyoung Han, Youngjae Kim, CoFDP: User-Kernel Cooperative Storage for Flexible Data Placement SSDs, ACM Symposium on Cloud Computing (SoCC 2026).
[ZNS File Systems & Parallel I/O] Yosep Ro, Changgyu Lee, Soon Hwang, Joo-Young Hwang, Hong-Yeon Kim, Youngjae Kim, Predictive Append: A New I/O Mechanism for Intra-Zone Parallelism in ZNS-Supporting File Systems, ACM International Middleware Conference (Middleware 2026).
[ZNS Key-Value Stores & Zone Cleaning] Sungjin Byeon*, Kyungwook Min*, Jaewan Park, Sangyun Lee, Hong-Yeon Kim, Junyoung Han, Joo-Young Hwang, Zhichao Cao, Youngjae Kim, ColdMap: Compaction-Aware Cost-Benefit Zone Cleaning for ZNS-Based Key-Value Stores, ACM International Conference on Supercomputing (ICS 2026). (* Equal Contribution)
[Key-Value Stores & LSM-Tree Scalability] Jaewan Park, Kyungwook Min, Sungjin Byeon, Taewan Noh, Hyungi Park, Xubin He, Hongyeon Kim, Youngjae Kim, BucketLSM: Breaking the Compaction Scalability Barrier in LSM-Based Key-Value Stores, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2026). [Best Student Paper Nomination Award]
[KV-SSDs & NVMe Data Transfer] Junhyeok Park, Chang-Gyu Lee, Soon Hwang, Seung-Jun Cha, Woosuk Chung, Youngjae Kim, Maximizing Interconnect Bandwidth and Efficiency in NVMe-Based Key-Value SSDs with Fine-Grained Value Transfer, IEEE Micro Special Issue on Cache Coherent Interconnects and Resource Disaggregation Techniques (MICRO 2025).
[CXL-SSDs & Storage System Evaluation] Hyunsun Chung, Junhyeok Park, Taewan Noh, Seonghoon Ahn, Kihwan Kim, Ming Zhao, Youngjae Kim, OpenCXD: An Open Real-Device-Guided Hybrid Evaluation Framework for CXL-SSDs, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2025).
[Key-Value Stores & Data Deduplication] Safdar Jamil, Awais Khan, Xubin He, Youngjae Kim, DedupKV: A Space-Efficient and High-Performance Key-Value Store via Fine-Grained Deduplication, ACM International Conference on Supercomputing (ICS 2025).
[Key-Value Stores & Host-SSD Co-design] Kihwan Kim*, Hyunsun Chung*, Seonghoon Ahn*, Junhyeok Park, Safdar Jamil, Hongsu Byun, Myungcheol Lee, Jinchun Choi, Youngjae Kim, KVAccel: A Novel Write Accelerator for LSM-Tree-Based KV Stores with Host-SSD Collaboration, IEEE Int'l Parallel and Distributed Processing Symposium (IPDPS 2025). (* Equal Contribution)
[NVMe Storage & Small-Payload I/O Optimization] Junhyeok Park, Junghee Lee, Youngjae Kim, ByteExpress: A High-Performance and Traffic-Efficient Inline Transfer of Small Payloads over NVMe, ACM Workshop on Hot Topics in Storage and File Systems (HotStorage 2025). [Best Paper Award]
[Key-Value Stores & Compaction Offloading] Jeeseob Kim, Hongsu Byun, Seungjae Lee, Myoungjoon Kim, Youngjae Kim, Zaipeng Xie and Sungyong Park, ECO-KVS: Energy-aware Compaction Offloading Mechanism for LSM-tree based Key-Value Stores in Edge Federation, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2025).
[KV-SSDs & Data Transfer Optimization] Junhyeok Park, Chang-Gyu Lee, Soon Hwang, Soonyeal Yang, Jungki Noh, Woosuk Chung, Junghee Lee, Youngjae Kim, BandSlim: A Novel Bandwidth and Space-Efficient KV-SSD with an Escape-from-Block Approach, International Conference on Parallel Processing (ICPP 2024).
[ZNS Key-Value Stores & Garbage Collection] Hamin Hwangbo, Joseph Ro, Sungjin Byeon, Safdar Jamil, Junyoung Han, Jooyoung Hwang, Youngjae Kim, Towards A Unified Garbage Collection Strategy in ZNS Key-Value Store File Systems Using Same-Victim GC, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2024).
[ZNS Storage & Zone Management] Sungjin Byeon, Joseph Ro, Jun Young Han, Jeong-Uk Kang, Youngjae Kim, Ensuring Compaction and Zone Cleaning Efficiency through Same-Zone Compaction in ZNS Key-Value Store, International Conference on Massive Storage Systems and Technology (MSST 2024).
[KV-SSDs & Range Query Acceleration] Sungjin Byeon, Joseph Ro, Safdar Jamil, Jeong-Uk Kang, Youngjae Kim, A Free-Space Adaptive Runtime Zone-Reset Algorithm for Enhanced ZNS Efficiency, ACM Workshop on Hot Topics in Storage and File Systems (HotStorage 2023).
[KV-SSDs & Range Query Acceleration] Seungjin Lee, Changgyu Lee, Donghyun Min, Inhyuk Park, Woosuk Chung, Anand Sivasubramaniam, Youngjae Kim, Iterator Interface Extended LSM-tree-based KVSSD for Range Queries, ACM International Systems and Storage Conference (SYSTOR 2023).
[KV-SSDs & Multi-Tenant Query Processing ] Donghyun Min, Kihyun Kim, Chaewon Moon, Awais Khan, Seungjin Lee, Changhwan Yun, Woosuk Chung, Youngjae Kim, A Multi-Tenant Key-Value SSD with Secondary Index for Search Query Processing and Analysis, ACM Transactions on Embedded Computing Systems (TECS 2023).
[NVM File Systems & Data Deduplication] Hyungjoon Kwon, Yonghyeon Cho, Awais Khan, Yeohyeon Park, Youngjae Kim, DeNOVA: Deduplication Extended NOVA File System, IEEE Int'l Parallel and Distributed Processing Symposium (IPDPS 2022).
[ZNS Key-Value Stores & Zone Allocation] Hee-Rock Lee, Chang-Gyu Lee, Seungjin Lee, Youngjae Kim, Compaction-Aware Zone Allocation for LSM based Key-Value Store on ZNS SSDs, ACM Workshop on Hot Topics in Storage and File Systems (HotStorage 2022).
[KV-SSDs & Multi-Tenant Isolation ] Donghyun Min, Youngjae Kim, Isolating Namespace and Performance in Key-Value SSDs for Multi-tenant Environments, ACM Workshop on Hot Topics in Storage and File Systems (HotStorage 2021). [Best Paper Nomination]
[NVM File Systems & NUMA Optimization] June-Hyung Kim, Youngjae Kim, Safdar Jamil, Sungyong Park, A NUMA-aware NVM File System Design for Manycore Server Applications, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2020).
[Secure Storage & Trusted Execution] Jinwoo Ahn, Junghee Lee, Yungwoo Ko, Donghyun Min, Jiyoon Park, Sungyong Park, Youngjae Kim, DiskShield: A Data Tamper-Resistant Storage for Intel SGX, ACM ASIA Conference on Computer and Communications Security (ASIACCS 2020).
[Flash File Systems & Parallel I/O] Chang-Gyu Lee, Hyunki Byun, Sunghyun Noh, Hyeongu Kang, Youngjae Kim, Write Optimization of Log-structured Flash File System for Parallel I/O on Manycore Servers, ACM International Systems and Storage Conference (SYSTOR 2019).
[KV-SSDs & LSM-Tree Offloading] Chang-Gyu Lee, Hyeongu Kang, Donggyu Park, Sungyong Park, Youngjae Kim, Jungki Noh, Woosuk Chung, Kyoung Park, iLSM-SSD: An Intelligent LSM-tree based Key-Value SSD for Data Analytics, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2019).

RocksDB with KVSSD

NVM FS

NVMe Data Transfer

Storage Architectures for Emerging Storage Technologies (Flash/SSD Architectures, Computational Storage, Processing-in-Memory/Storage, Storage Security & Reliability, and Device-Level Resource Management)

[Computational Storage & Capacity Planning] Hongsu Byun, Safdar Jamil, Jungwook Han, Sungyong Park, Myungcheol Lee, Changsoo Kim, Beongjun Choi, Youngjae Kim, An Analytical Model-based Capacity Planning Approach for Building CSD-based Storage Systems, ACM Transactions on Embedded Computing Systems (TECS 2024).
[Secure SSDs & Ransomware Defense] Donghyun Min, Yungwoo Ko, Ryan Walker, Junghee Lee, Youngjae Kim, A Content-based Ransomware Detection and Backup Solid-State Drive for Ransomware Defense, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD 2022).
[Secure SSDs & Ransomware Defense] Donghyun Min, Donggyu Park, Jinwoo Ahn, Ryan Walker, Junghee Lee, Sungyong Park, Youngjae Kim, Amoeba: An Autonomous Backup and Recovery SSD for Ransomware Defense, IEEE Computer Architecture Letters (CAL 2018). [2018 Best Paper Award]
[All-Flash Storage & Write Cache Optimization] Kalidas Ganesh, Youngjae Kim, Monobrata Debnath, Sungyong Park, Junghee Lee, LAWC: Optimizing Write Cache using Layout-Aware I/O Scheduling for All Flash Storage, IEEE Transactions on Computers (TC 2017).
[Processing-in-Memory & Data Analytics] Sangken Lee, Hyogi Sim, Youngjae Kim, Sudharshan Vazhkudai, AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2017).
[Memory Security & Access Control] Chintan Chavda, Ethan C. Ahn, Yu-Sheng Chen, Youngjae Kim, Kalidas Ganesh, Junghee Lee, Vulnerability Analysis of On-Chip Access-Control Memory, USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 2017).
[SD Arrays & Write Cache Scheduling] Junghee Lee, Youngjae Kim, Jongman Kim, Galen Shipman, Synchronous I/O Scheduling of Independent Write Caches for an Array of SSDs, IEEE Computer Architecture Letters (CAL 2015).
[SSD Arrays & Garbage Collection] Youngjae Kim, Junghee Lee, Sarp Oral, David Dillow, Feiyi Wang, Galen M. Shipman, Coordinating Garbage Collection for Arrays of Solid-state Drives, IEEE Transactions on Computers (TC 2014).
[Computational Storage & Data Analytics] Simona Boboila, Youngjae Kim, Sudharshan Vazhkudai, Peter Desnoyers, Galen M. Shipman, Active Flash: Out-of-core Data Analytics on Flash Storage, IEEE Symposium on Massive Storage Systems and Technologies (MSST 2012).
[SSD Arrays & Garbage Collection] Youngjae Kim, Sarp Oral, Galen M. Shipman, Junghee Lee, David Dillow, Feiyi Wang, Harmonia: A Globally Coordinated Garbage Collector for Arrays of Solid-state Drives, IEEE Symposium on Massive Storage Systems and Technologies (MSST 2011).
[Hybrid Storage & Cost-Performance Optimization] Youngjae Kim, Aayush Gupta, Bhuvan Urgaonkar, Piotr Berman, Anand Sivasubramaniam, HybridStore: A Cost-Efficient, High-Performance Storage System Combining SSDs and HDDs, IEEE Int'l Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2011).
[SSDs & Garbage Collection] Junghee Lee, Youngjae Kim, Galen M. Shipman, Sarp Oral, Feiyi Wang, Jongman Kim, A Semi-Preemptive Garbage Collector for Solid State Drives, IEEE Int'l Symposium on Performance Analysis of Systems and Software (ISPASS 2011). [Best Paper Nomination]
[Flash Translation Layers] Aayush Gupta, Youngjae Kim, Bhuvan Urgaonkar, DFTL: A Flash Translation Layer Employing Demand-based Selective Caching of Page-level Address Mappings, International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2009).
[Server Architecture & Thermal Management] Jeonghwan Choi, Youngjae Kim, Anand Sivasubramaniam, Jelena Srebric, Qian Wang, Joonwon Lee, Modeling and Managing Thermal Profiles of Rack-mounted Servers with ThermoStat, International Symposium on High Performance Computer Architecture (HPCA 2007). [Best Paper Nomination]
[Storage Systems & Thermal Modeling] Sudhanva Gurumurthi, Youngjae Kim, Anand Sivasubramaniam, Using STEAM for Thermal Simulation of Storage Systems, IEEE Micro Special Issue on Computer Architecture Simulation and Modeling (MICRO 2006).
[Storage Systems & Thermal Management] Youngjae Kim, Sudhanva Gurumurthi, Anand Sivasubramaniam, Understanding the Performance-Temperature Interactions in Disk I/O of Server Workloads, IEEE Int'l Symposium on High Performance Computer Architecture (HPCA 2006).

Honors & Awards

Best Student Paper Nominee Award, CCGrid, 2026
Nominated for Distinguished reviewer, HotStorage 2026
Sogang Outstanding Faculty Award (External Research Funding Category), Industry-Academic Cooperation Foundation, Sogang University, 2026
Best Paper Award, ACM HotStorage, 2025
Outstanding Large-Enrollment Teaching Award (Operating Systems), Fall 2025
Outstanding Researcher Award, Sogang University, 2025
Distinguished Paper Award Nomination, HiPC, 2025
Samsung Electronics DS Best Patent Invention Award, 2024
Sogang Ricci Engineering Young Fellow, 2021
Best Paper Award Nomination, HotStorage 2021
SK hynix 8th Industry-Academic Research Project Outstanding Invention Grand Prize, 2020 [News]
Best Paper Award, IEEE CAL 2018
Outstanding Research Award, Oak Ridge National Laboratory, 2012
Best Paper Award Nomination, ISPASS 2011
Best Paper Award Nomination, HPCA 2007
College of Engineering Fellowship, The Pennsylvania State University (2004-2007)
Korea Government IT Scholarship, Ministry of Information and Communication (45 students selected nationwide) (2004)
Graduated in 1st rank with the highest GPA in class, Sogang University (July 2001)

Program Committee

2028: FAST
2027: HPCA, IPDPS, ICS
2026: DAC, SC, CCGRID, ICDCS, MASCOTS, EURO-PAR, ICPP, HotStorage, REX-IO, HPCAsia, SSDBM, HPDC(Poster), PDSW, Cluster(Poster), HiPC (AI Track), BTSD, BID, SoCC (External Review)
2025: DAC, HPCA, CCGRID, EURO-PAR, CLUSTER, HotStorage, PDSW, HiPC(Architecture Track), SOSP(Poster), NVMW, BID
2024: DAC, IPDPS, CCGRID, EURO-PAR, PDSW, HiPC(Architecture Track), SSDBM, NAS, BTSD
2023: IPDPS, CLUSTER, HiPC(Architecture Track), HPCAsia, HCM, EESA
2022: Systor, ISPASS, HotStorage, PDSW, HPCAsia, REX-I/O, SC (External), BTSD
2021: CCGrid, PDSW, HPCAsia, APSys, BTSD
2020: ICDCS, NVMSA, SIMUL, BTSD
2019: HPCAsia, BTSD
2018: HPCAsia, SNTA, NAS (External)
2017: NVMSA
2016: INFLOW, IC2E, NVMSA, HotStorage (External), DSN (External)
2015: NAS, NVMSA, HPDC (External), MSST (External)
2014: CLUSTER, ICPP, CCGRID, PDSW, DSSCB
2013: ICPAD, DSSCB, NAS (External)

Organizing Committee

2027: Cluster (Publicity Co-Chair)
2023: HPDC (Workshop Co-chair)
2021: HPC Asia (Program Track Chair), AMGCC'21 (Workshop Co-Chair)
2020: NVMSA (Program Chair)
2019: APSys'19 (Publication Chair)
2016: NVMSA (Publicity Chair)

Journal Editor

Cluster Computing Journal'18 (Guest Editor)
Scientific Programming'18 (Guest Editor)

한국정보과학회 학술대회 수상

2026 한국소프트웨어 종합학술대회 학부생/주니어 논문 경진대회 학부생부문 최우수상, 최민석, et al, "LLM 서빙에서 Multi-GPU 병렬화 성능 분석"
2026 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 최우수상, 김준원, et al, "SurrogateKV: 어텐션 안정화 기반 의미보존 KV 캐시 압축"
2026 한국소프트웨어 종합학술대회 소프트웨어공학 분야 우수발표논문상, 유성연, et al, "AWS 환경에서 대규모 언어모델 기반 코드형 클라우드 인프라의 목표 지향적 보안 최적화 연구"
2025 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 장려상, 장성, et al, "LLM 서빙시 Head-of-Line 블로킹 완화를 위한 SLM 기반 LLM 출력 길이 예측 및 스케줄링 기법"
2021 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 우수상, 황순, et al, "매니코어 환경에서 Per-Core NAT를 통한 F2FS의 create() 확장성"
2020 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 우수상, 박중언, et al, "컨테이너 기반의 확장성 있는 Fabric-Attached Memory 관리 플랫폼"
2019 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 우수상, 안진우, et al, "SSD GUARD: 높은 권한의 데이터 변조 공격으로부터 파일 보호"
2019 한국소프트웨어 종합학술대회 정보보호 및 고신뢰 컴퓨팅 분야 우수상, "STT-MRAM 기반 스토리지 디바이스의 성능 및 파워, 발열에 대한 비교 분석 연구"
2018 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 우수상, 노성현, et al, "로그 기반 파일 시스템의 매니 코어 성능 및 확장성 분석"
2018 한국소프트웨어 종합학술대회 컴퓨터 시스템 분야 최우수상, 김장웅, et al, "비휘발성 메모리 파일시스템의 단일 파일에서의 쓰기 병렬화"

국내 활동

스토리지 시스템 연구회 위원장 (2025.03-27.02)
한국연구재단 국책연구본부 시스템S/W분야 (기획)전문위원 (2026.11-2027.10)
한국연구재단 국책연구본부 시스템S/W분야 (기획)전문위원 (2024.09-2026.10)
한국연구재단 국책연구본부 시스템S/W분야 (기획)전문위원 (2022.01-2024.08)
한국반도체학술대회 시스템소프트웨어 분과위원장 (2021-2022)
컴퓨터시스템소사이어티 부회장 (2021-현재)
컴퓨터시스템소사이어티 이사 역임 (2015-현재)
스토리지 시스템 연구회 이사 (2018-현재)
컴퓨터시스템 소사이어티 동계학술대회 (2023 공동 운영위원장)
NVRAMOS (2022 워크샵 위원장)
Linux Kernel Camp (2012 공동위원장), NVRAMOS (2021 워크샵 위원장)
NVRAMOS (2020 프로그램 위원장)
FISS (2019 프로그램 위원장)

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