▶ 연구실 홈페이지

- https://kjisu96.github.io

 

▶ 학력

- 경북대학교 대학원 전자전기공학부 졸업(‘25.08, 공학박사)

- 경북대학교 전자공학부 졸업(‘19.08, 공학사)

 

▶ 경력

- 2026.08~현재: 한국교통대학교 전자공학과 조교수

- 2025.09~2026.07: 한국과학기술원 정보전자연구소 박사후연구원

 

▶ 연구 분야

- 온디바이스 AI 하드웨어-소프트웨어 공동 설계

- SoC(시스템온칩) 및 펌웨어 설계

- AI-aided EDA

 

▶ 대표 연구 업적

- Full Publications: https://scholar.google.com/citations?user=3Wz73U4AAAAJ&hl=en

 

[Selected Journals]

- J. Kwon and D. Park, “MAIL: Micro-Accelerator-in-the-Loop Framework for MCU Integrated Accelerator Peripheral Fast Prototyping,” Applied Sciences, vol. 15, no. 3, pp. 1056, 2025.

- J. Kwon and D. Park, “Efficient Partial Weight Update Techniques for Lightweight On-Device Learning on Tiny Flash-Embedded MCUs,” IEEE Embedded Systems Letters, vol. 15, no. 4, pp. 206–209, 2023.

- J. Kwon and D. Park, “Efficient Sensor Processing Technique Using Kalman Filter-Based Velocity Prediction in Large-Scale Vehicle IoT Application,” IEEE Access, vol. 10, pp. 116735–116746, 2022.

- J. Kwon and D. Park, “Hardware/Software Co-Design for TinyML Voice-Recognition Application on Resource Frugal Edge Devices,” Applied Sciences, vol. 11, no. 22, pp. 11073, 2021.

- J. Kwon, M. G. Seok, and D. Park, “Low-Power Fast Partial Firmware Update Technique of On-Chip Flash Memory for Reliable Embedded IoT Microcontroller,” IEICE Transactions on Electronics, vol. E104.C, no. 6, pp. 226–236, 2021.

 

[Selected Conferences]

- J. Kwon and D. Park, “Sliding-Window-based Fast and Lightweight ADC Pseudo-Randomness Compensation Technique for Low-Cost ADC,” in International VLSI Symposium on Technology, Systems and Applications (VLSI TSA), Hsinchu, Taiwan, Apr. 2025, pp. 1–4.

- J. Kwon and D. Park, “Work-in-Progress: Micro-Accelerator-in-the-Loop Framework for MCU Integrated Accelerator Peripheral Fast Prototyping,” in ACM SIGBED International Conference on Embedded Software (EMSOFT), Hamburg, Germany, Sep. 2023, pp. 15–16.

- J. Kwon, H. Yun, and D. Park, “Dynamic MAC Unit Pruning Techniques in Runtime RTL Simulation for Area-Accuracy Efficient Implementation of Neural Network Accelerator,” in 2023 International Midwest Symposium on Circuits and Systems (MWSCAS), Arizona, USA, Aug. 2023, pp. 207–211.

- J. Kwon and D. Park, “Lightweighted AI-based Inference using Deterministic Randomness Compensation for Microcontroller ADC Resolution Enhancement,” in 2022 19th International SoC Design Conference (ISOCC), Gangneung, South Korea, Oct. 2022, pp. 368–369.

- J. Kwon, S. Oh, and D. Park, “Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models,” in 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, South Korea, May 2021, pp. 1–5.

- J. Kwon, M. G. Seok, and D. Park, “User Insensible Sliding Firmware Update Technique for Flash-Area/Time-Cost Reduction toward Low-Power Embedded Software Replacement,” in 2020 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS 23), Kokubunji, Japan, Apr. 2020, pp. 1–3.

 

▶ 특허

- “Memory Connection System and Memory Connection Method for Acceleration of Operation,” KR Patent 10-2978764, Jun. 2026.

- “Artificial Intelligence Computing System and Method,” KR Patent 10-2835042, Jul. 2025. 

- “Firmware system to control software malfunction and control method thereof,” KR Patent 10-2673433, Jun. 2024.

- “Code Insertion Module and Method for Dividing Storage of Firmware Segment,” KR Patent 10-2391312, Apr. 2022.

- “Firmware Update Device and Update Method,” KR Patent 10-2375290, Mar. 2022.

- “Firmware Update Method using QR Code Image and Electronic Device Performing Same,” KR Patent 10-2391306, Apr. 2022.

 

▶ 수상 및 기타 경력

- 2023-2024 Ph.D fellowship (National Research Foundation of Korea) 

- 2026 Journal Reviewer: IEEE O-JSSCS, IEEE TCAS-I