Ryan Se-Min Lim
PhD Student at University of California, Irvine
PhD Student at the
Computer Science Department
Donald Bren School of Information and Computer Science
University of California, Irvine
Degrees
- M.E. in Electronics Engineering at Korea University (2019)
- B.E. in Electronics Engineering at Korea University (2017)
Research Interests
- System Architecture
- Low-Cost & High-Performance Computing
- Methods for Solving Memory & Bus Bandwidth Bottleneck
- FPGA or ASIC-Based Accelerators
- System-on-Chip (SoC)
- Storage System
- Embedded Processors/Systems
- Artificial Intelligence
- Neural Networks
- Machine & Deep Learning
- Signal & Image Processing
- Big Data
- Efficient and Innovative Methods for Processing Big Data
- Bioinformatics
- Solving Hurdles of Bioinformatic-Applications via Hardware Implementation
Curriculum Vitae
My Curriculum Vitae
Patents
- 2019
- Se-Min Lim, Seongjin Choi, and Hyeong-Cheol Oh, "Pipelined Squarer for Unsigned Integers of up to 16 Bits", KR101974779, filed Apr. 25, 2019.
Service
- 2024
- External Review Committee - USENIX ATC
- 2022
- Reviewer - IEEE Systems Journal
- 2021
- Reviewer - IEEE Systems Journal
Publications
My Google Scholar Profile
- 2024
- Se-Min Lim, Esmerald Aliaj, and Sang-Woo Jun, "Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering," IEEE International Conference on Big Data (BigData), 2024. [Top-Tier Conference] (Under Review)
- Se-Min Lim, Esmerald Aliaj, and Sang-Woo Jun, "Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery," 20th IEEE International Conference on e-Science (eScience), 2024.
- Se-Min Lim and Sang-Woo Jun, "FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation," Design, Automation and Test in Europe Conference (DATE), 2024. [Top-Tier Conference]
- 2022
- Se-Min Lim and Sang-Woo Jun, "MobileNets Can Be Lossily Compressed: Neural Network Compression for Embedded Accelerators," MDPI Electronics, 2022, 11, 858. [SCIE]
- 2019
- Se-Min Lim, Jooyoung Park, and Hyeong-Cheol Oh, "Low-cost Method for Recognizing Table Tennis Activity," IEICE Transactions on Information and Systems, Vol.E102-D, No.10, pp.2051-2054, Oct. 2019. [SCIE]
- 2018
- Se-Min Lim, Hyeong-Cheol Oh, Jaein Kim, Juwon Lee, and Jooyoung Park, "LSTM-Guided Coaching Assistant for Table Tennis Practice," MDPI Sensors, 2018, 18, 4112. [SCIE]