← Alumni
Jeongeun Kim

Jeongeun Kim (2023)

Dept. of Electronic and Information Engineering Seoul National University of Science and Technology
232 Gongneung-ro, Nowon-gu, 01811, Seoul, KOREA

Education & Experiences

2023.09 - present, Ph.D. Student, University of Southern California (USC)
2023.01 - 2023.07, Researcher, Convergence System R&D Division, Korea Electronics Technology Institute (KETI)
2023.02, Master of Science in Electronic Engineering, Seoul National University of Science and Technology.
- Thesis Title : "Parallel Stochastic Computing Architecture for Computationally Intensive Applications"
2023.02, M.S. in Electronic, The Graduate School, Seoul National University of Science and Technology.
2017.01 - 2021.01, HW Design Engineer, SEMES Co.
2017.02, B.S. in Electronic, Seoul National University of Science and Technology.

Research Interests

Low-power and Resilient SoC Design
Approximate Computing
Hardware Acceleration
Computer Architecture

Projects

  1. Development of DRAM PIM semiconductor technology for enhanced computing function for edge
    Ministry of Science and ICT, Korea, 2022-2025.
  2. ECC for high-speed SCM based PIM
    Korea Electronics Technology Institute, Korea, 2022-2025.
  3. Development for Processing Software on AI Semiconductor Devices
    Ministry of Science and ICT, Korea, 2022-2029.
  4. Developed proximity/healthcare convergence sensor SoC for TWS (True Wireless Stereo)
    Ministry of Trade, Industry and Energy, Korea, 2021-2023.
  5. Next-Generation System Semiconductor Design Engineer Development Program
    Ministry of Trade, Industry and Energy, Korea, 2021-2026.
  6. Embedded AI module based on neuromorphic
    Ministry of Trade, Industry and Energy, Korea, 2019-2021.
  7. Multi-core Hardware Accelerator for High-Performance Computing (HPC)
    Ministry of Science and ICT, Korea, 2019-2022.

Publications

International Journals

  1. 3
  2. 2
  3. 1

International Conferences

  1. 3
    [Poster] "An Architecture for Resilient Federated Learning through Parallel Recognition
    Jeongeun Kim, Youngwoo Jeong, Suyeon Jang, Seung Eun LEE
    The 31st International Conference on Parallel Architectures and Compilation Techniques (PACT) · Chicago · Oct. 2022
  2. 2
  3. 1
    A Local Interconnect Network Controller for Resource-Constrained Automotive Devices
    Kwonneung Cho, Hyunwoo Oh, Jeongeun Kim, Youngwoo Jeong, Seung Eun LEE
    40th International Conference on Consumer Electronics (ICCE) · Las Vegas · Jan. 2022

Copyrights

Copyrighted Softwares

  1. 1
    병렬 구조를 적용한 확률 기반 연산 회로
    Registration No. C-2023-023359, May. 2023, Korea (right owned by SeoulTech)

Chips

2022

A RISC-V Processor Supporting AMBA AXI Protocol for Embedded Systems
Wonsik Jeong, SunBeom Kwon, Hyunwoo Oh, Jeongeun Kim, Seung Eun LEE
Tech
Samsung 28nm RFCMOS(1-poly 8-metal)
Tape-out
2022.07.18
Core
2mm x 4mm
Power
1.2V
AI processor based on Stochastic Computing for Embedded Systems
Jeongeun Kim, Kwonneung Cho, Changyeop Han, Wonsik Jeong, Seung Eun LEE
Tech
Samsung 28nm CMOS
Tape-out
2022.07.19
Core
4mm x 2mm
Power
1.2V
In-Vehicle Network Processor based on Cortex-M0
Kwonneung Cho, Jeongeun Kim, Hyunwoo Oh, Seung Eun LEE
Tech
TSMC 180nm RFCMOS (1-poly 6-metal)
Tape-out
2022.03.16
Core
3.4mm x 3mm
Power
1.8V

2021

In-Vehicle Network Core based on CAN-FD and LIN Controller
Kwanghyun Go, Jeongeun Kim, Doyoung Choi, Seung Eun LEE
Tech
DBHitek 180nm BCDMOS
Tape-out
2021.07.19
Freq
50M
Core
5mm x 5mm
Power
5V
32-bit processor with posit arithmetic coprocessor for embedded systems
Hyunwoo Oh, Jeongeun Kim, Doyoung Choi, Kwanghyun Go, Seung Eun LEE
Tech
Samsung 28nm CMOS
Tape-out
2021.07.19
Freq
50M
Core
2mm x 4mm
Power
1.2V

Chip Design Contest

  • 1. "A Low Cost and Low Power Neuromorphic Core for Embedded AI System" [view],
    Su Yeon Jang, Jeongeun Kim, Young Hyun Yoon, Chang Yeop Han, and Seung Eun Lee,
    ISOCC 2021, Jeju, Korea (On-site and Virtual Event), Oct. 2021.

Presentations

  • 3. "Reconfigurable Stochastic Computing Architecture for Computationally Intensive Applications" [view],
    The 19th International SoC Design Conference (ISOCC 2022), Gangneung, Oct. 2022.
  • 2. "An Architecture for Resilient Federated Learning through Parallel Recognition" [view],
    The 31st International Conference on Parallel Architectures and Compilation Techniques (PACT 2022), Chicago, Oct. 2022.
  • 1. "AI Processor employing Stocastic Computing for Embedded Systems" [view],
    The 23rd Semiconductor Design Competition of Korea, Sep. 2022.

Awards

  • 2022.10.06. The 23rd Semiconductor Design Competition of Korea - Corporate(LX Semicon) Special Award [view]
    Topic: AI Processor employing Stochastic Computing for Embedded Systems
    Korea Semiconductor Industry Association

Skills

- Hardware description language: Verilog
- High-level Computer Language: C/C++, Python
- EDA tools: VCS, Verdi, Design Compiler, ICC, ICC2, PrimeTime, StarRC, Altium, Quartus II, ModelSim

Training

2022.04.28-04.29 - Utilize FreeRTOS based on ARM Cortex-M processor, IDEC
2021.11.01-11.05 - Cell-Based Design Flow Training for Samsung 28nm Technology, IDEC
2021.10.19-10.21 - [Synopsys] Block-level Auto P&R using IC Compiler II, IDEC
2021.09.02-09.03 - Machine Learning and Deep Learning with MATLAB, IDEC
2021.07.29-07.30 - Increase efficiency of AI computation using FPGA, IDEC
2021.07.27 - Power Management IC Design, Korea Semiconductor Research Association
2021.07.15 - SoC Design and Development Methodology for Automotive Semiconductor, IDEC
2021.07.05-07.09 - Cell-Based Chip Design Flow Training, IDEC
2021.06.30-07.02 - [Infineon] Professional Training Course for Automotive Semiconductor, Korea Semiconductor Industry Association
2021.06.04 - HDL Code Generation and FPGA/SoC Development Workflow using MATLAB and Simulink, IDEC
2021.05.07-05.14 - Artificial Neural Network Hardware Accelerator Architecture, IDEC
2021.05.03 - Hardware acceleration for machine learning, IDEC

Graduate Courses

Resilient Processor Design, AI Processor Architecture, SoC Design Methodology
Advanced Computer Architecture, Pattern Recognition
Introduction to integrated circuits and systems
RF/Analog Integrated Circuits and Systems, Solid State Theory

Undergraduate Courses

Computer Programming(C Programming), Engineering Mathmatics, Electricity and Electronic Experiment,
Electromagnetics, Logic Circuit, Signal System, Electronic Circuit Theory,
Electronic Circuits, Microprocessor, Control Engineering, Digital System Design, Microwave Engineering
Computer Architecture, Mobile Programming, Image Processing, Capstone Design(1), Capstone Design(2)