PERSONAL DETAILS

EDUCATION HISTORY

| March 2019 – Current | Ph.D. in School of Computing, KAIST (Expected graduation: Feb 2026) Advisor: Soontae Kim [https://ecl.kaist.ac.kr/home] | | --- | --- | | March 2017 – Feb 2019 | Master in School of Computing, KAIST Advisor: Soontae Kim [https://ecl.kaist.ac.kr/home] | | March 2011 – Feb 2017 | Bachelor in Computer Engineering, SKKU Advisor: Yungyung Cheong [https://inglab.github.io/] |

PUBLICATIONS AND PATENTS

• Jang, M., Kim, J., Nam, H., & Kim, S. (2023). Zero and Narrow-Width Value-Aware Compression for Quantized Convolutional Neural Networks. IEEE Transactions on Computers. [LINK]
• Kim, J., Jang, M., Nam, H., & Kim, S. (2023, October). HARP: Hardware-Based Pseudo-Tiling for Sparse Matrix Multiplication Accelerator. In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture (pp. 1148-1162). [LINK]
• Jang, M., Kim, J., Kim, J., & Kim, S. (2022, March). Encore compression: Exploiting narrow-width values for quantized deep neural networks. In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1503-1508). IEEE. [LINK]
• Jang, M., & Hong, J. (2021). MATE: Memory-and Retraining-Free Error Correction for Convolutional Neural Network Weights. Journal of information and communication convergence engineering, 19(1), 22-28. [LINK]
• (Master Thesis) Jang, Myeongjae. "Neural network-based FMCW radar system for detecting and tracking a drone." (2019). [LINK]
• (Patent) 인공 신경망 기반 FMCW 레이다 드론 추적 기법, OBJECT DETECTION METHOD AND APPARATUS OF RADAR SYSTEM, 2021-06-22, 10-2269732-0000, (Korean). [LINK] 한국과학기술원, 김순태, 장명재, 강민철, 이원영
• Jang, M., & Kim, S. (2018). Neural Network-based FMCW Radar System for Detecting a Drone. IEMEK Journal of Embedded Systems and Applications, 13(6), 289-296, (Korean). [LINK]
• (Bachelor) 장명재, & 정윤경. (2016). 무인 탐사선의 최단 경로 탐색 알고리즘 분석. 한국정보과학회 학술발표논문집, 1662-1664, (Korean). [LINK]

PROFESSIONAL EXPERIENCES

| 2021 Spring | Teaching Assistant in KAIST Under-graduated Course, Computing System Overview by Prof. Soontae Kim | | --- | --- | | 2020 Spring | Teaching and Practical Assistant in KAIST (Head TA) Under-graduated Course, Digital System and Lab by Prof. Soontae Kim | | 2020 Spring | Teaching Assistant in KAIST Under-graduated Course, Computing System Overview by Prof. Soontae Kim | | 2019 Fall | Teaching Assistant in KAIST Under-graduated Course, Introduction to Artificial Intelligence by Prof. Seunghoon Hong | | 2019 Spring | Teaching Assistant in KAIST (Head TA) Graduated Course, Computer Architecture by Prof. Soontae Kim | | 2018 Fall | Teaching Assistant in KAIST Under-graduated Course, Computer Organization by Prof. Soontae Kim | | 2018 Spring | Teaching and Practical Assistant in KAIST Under-graduated Course, Digital System and Lab by Prof. Seungryoul Maeng | | 2017 Fall | Teaching Assistant in KAIST Under-graduated Course, Computer Organization by Prof. Jaehyuk Huh |

AWARDS AND HONORS

PARTICIPATED PROJECTS

| 2022 – Current | 데이터 중심 컴퓨팅의 효율적 메모리 관리를 위한 소프트웨어-하드웨어 융합 연구, Software-hardware co-design for efficient memory management in data-centric computing, 한국연구재단 중견연구 : Designing efficient memory management technique using data compression for machine learning | | --- | --- | | 2021 – Current | KAIST-삼성 전략 산학 협력과제, 메모리-스토리지 복합 압축 기술 개발, 메모리사업부 S/W 개발팀 : Designing memory and storage-related neural network data compression | | 2021 – 2022 | 커넥티드카 포렌식 기술 연구 (V1-프로젝트), 국방연구원 : Managing project as a co-project manager, Developing Android-based vehicle head units forensic tool | | 2018 – 2019 | 소형 무인기 탐지 레이다 개발 및 운용, 국토교통과학진흥원 : Developing a radar control and drone detecting software, Designing neural network-based drone detection algorithm (Master degree research topic) |

COMPUTER SKILLS