Prof.Se-Min Lim임세민 교수임세민Se-Min Lim
Contact
Phone 02-910-5654
E-mail seminl1@kookmin.ac.kr
E-mail seminl1@kookmin.ac.kr
Office사무실미래관 5층 5-1호 (02-910-5654)
Education학력
Ph.D. University of California, Irvine, Computer Science (2025)
M.Eng. Korea University, Electronics Engineering (2019)
B.Eng. Korea University, Electronics Engineering (2017)
M.Eng. Korea University, Electronics Engineering (2019)
B.Eng. Korea University, Electronics Engineering (2017)
박사 University of California, Irvine, 전산학 (2025)
석사 고려대학교, 전자공학 (2019)
학사 고려대학교, 전자공학 (2017)
석사 고려대학교, 전자공학 (2019)
학사 고려대학교, 전자공학 (2017)
Career경력
2025-Present Assistant Professor, Kookmin University
2023-2025 Research Scholar, Semiconductor Research Corporation
2020-2025 Graduate Student Researcher, UC Irvine
2023-2025 Research Scholar, Semiconductor Research Corporation
2020-2025 Graduate Student Researcher, UC Irvine
2025-현재 국민대학교 조교수
2023-2025 반도체연구협회(SRC) 연구원
2020-2025 UC Irvine 대학원 연구원
2023-2025 반도체연구협회(SRC) 연구원
2020-2025 UC Irvine 대학원 연구원
Research Overview연구 개요
Research focuses on application-driven, cross-layer system architectural innovations considering emerging accelerators and their real-world implementations. Areas include system architecture, hardware accelerators, software-hardware co-design, and memory/storage-centric processing.
새로운 가속기와 실제 구현을 고려한 애플리케이션 중심의 크로스 레이어 시스템 아키텍처 혁신을 연구합니다. 시스템 아키텍처, 하드웨어 가속기, 소프트웨어-하드웨어 코디자인, 메모리/스토리지 중심 처리 분야를 포함합니다.
Research Areas연구 분야
- System Architecture
- Hardware Accelerators
- SW/HW Co-design
- Memory/Storage-Centric Processing
- 시스템 아키텍처
- 하드웨어 가속기
- 소프트웨어/하드웨어 코디자인
- 메모리/스토리지 중심 처리
Major Achievements주요 연구 성과
- FMiner: CPU-FPGA Heterogeneous Framework for Frequent Itemset Mining and Beyond (ICCAD 2026)
- Lembas: Cost-Efficient Genome Alignment with External Memory and FPGA Acceleration (ISCA 2026)
Honors & Awards수상
- Best Paper Award, Korea Computer Congress, 2026
- Best Poster Award, Korea Computer Congress, 2018
Recent Publications주요 논문
- S.-M. Lim, "FMiner: CPU-FPGA Heterogeneous Framework for Frequent Itemset Mining and Beyond," ICCAD, 2026
- S. Kang, S. Lim, and S. Jun, "Lembas: An appliance for Scalable Genome Alignment," ISCA, 2026
- S.-M. Lim, S. Kang, and S.-W. Jun, "Bancroft: Genomics Acceleration Beyond On-Device Memory," PACT, 2025
- G. Sun, S. Kang, J. He, S.-M. Lim, and S.-W. Jun, "Labidus: RISC-V Overlay with Streaming Asynchronous Custom Instructions," IEEE ASAP, 2025
- S.-M. Lim, E. Aliaj, and S.-W. Jun, "Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering," IEEE BigData, 2024
- S.-M. Lim, E. Aliaj, and S.-W. Jun, "Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery," IEEE e-Science, 2024
- S.-M. Lim and S.-W. Jun, "FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation," DATE, 2024
- S.-M. Lim and S.-W. Jun, "Mobilenets can be lossily compressed: Neural network compression for embedded accelerators," Electronics, 2022
- S.-M. Lim, J. Park, and H.-C. Oh, "Low-Cost Method for Recognizing Table Tennis Activity," IEICE Trans. on Info. and Systems, 2019
- S.-M. Lim, H.-C. Oh, J. Kim, J. Lee, and J. Park, "LSTM-guided coaching assistant for table tennis practice," Sensors, 2018