Jae-Ho Choi, Ph.D.

I am an Assistant Professor at Department of Electrical Engineering and Computer Science (EECS) and Deptartment of Interdisciplinary Studies of Artificial Intelligence (AI), DGIST, Daegu, Korea, since 2024.

From 2023 to 2024, I was a Postdoctoral Scholar in Department of Electrical Engineering (advised by Prof. Amin Arbabian) at Stanford University, Stanford, CA, US. I received the M.S. and Ph.D. degree in Electrical Engineering from POSTECH (advised by Prof. Kyung-Tae Kim), Pohang, Korea, in 2019 and 2023, respectively. I completed the B.S. degree in Computer Science from Korea University, Seoul, Korea, in 2017.

CV / Google Scholar / Linkedin

Experience

  • Assistant Professor, EECS/AI, DGIST, 2024.12 -
  • Postdoc., EE, Stanford University, 2023.04 - 2024.10
  • Postdoc., Next-Gen. Defense Tech. Research Center, POSTECH, 2023.02 - 2023.03
  • Intern, Memory Division, Samsung Electronics, 2016.06 - 2016.09


Education

  • Ph.D., EE, POSTECH, 2019.02 - 2023.02
  • M.S., EE, POSTECH, 2017.02 - 2019.02
  • B.S., CS, Korea University, 2011.03 - 2017.02


Research Interests

I’m interested in developing new sensing technologies to see the world from entirely new perspective, relying primarily on radio-frequency signals. My main research areas include (but not limited to):

  • Radio+X Perception Technologies: radio or radio+X systems for diverse sensing technologies (e.g., indoor perception, 3D human understanding, and health monitoring)
  • AI for Wireless/Radar: wireless-centric learning, data-efficient learning, complex neural network
  • Defense/Remote Sensing: radar detection/tracking, synthetic aperture radar (SAR)


Projects

  • 디지털콜럼버스프로젝트(제조 환경 멀티센서 융합 모델 기반 안전 제약 준수 작업계획 생성 기술 연구)-1단계 - IITP - 2026.04 ~ 2028.12 (2026.04 ~ 2033.12)
  • 기관전략개발단사업(해양 마이크로 도플러 기술 기반 AI 수중 감시 시스템 개발) - KIOST - 2026.04 ~ 2030.12
  • 신진연구-유형B(다중 주파수, 다중 변조, 다중 환경 통합 학습 기반 레이더 파운데이션 모델 연구) - NRF - 2026.03 ~ 2031.02
  • 룬샷프로젝트(Physical AI 기반 고속 군집 자폭 무인수상정 대응 체계 연구) - ADD - 2025.12 ~ 2026.11
  • 우수신진연구-씨앗 - NRF - 2025.09 ~ 2026.08
  • InnoCore(LLM 2.0: Inference Enhancement, Domain Specialization, Multimodal Expansion, and Trustworthy AI) - MSIT - 2025.07 ~ 2029.12
  • InnoCore(Trust-Enhanced Mutualistic Bio-Embedded AI) - MSIT - 2025.07 ~ 2029.12
  • AI Starfellowship - MSIT - 2025.04 ~ 2030.12
  • DGIST Start-Up Grant - DGIST - 2025.01 ~ 2028.12


Academic Service

Program Committee
  • AAAI
Reviewer
  • CVPR, ICCV, ECCV, NeurIPS, WACV etc.
  • IEEE IoTJ, IEEE SensJ, IEEE TMC, IEEE TGRS, IEEE TAES, IEEE SPL, etc.


Invited Talks

  • “On the Opportunities of Foundational/LLM-Integrated Radar+AI”, 한국전자파학회 동계학술대회, 2026.02
  • “On the Opportunities of Foundational/LLM-Integrated Radar+AI”, RLRC 센터 Seminar, 2025.12
  • “AI-Based Radar/Sonar microDoppler”, 한국해양과학기술원, 2025.12
  • “RF-Integrated Multimodal AI”, 대한전자공학회 영상이해/영상처리 연구회, 2025.07
  • “Radio+AI: Wireless Perception beyond Human Vision”, DGIST-EECS/AI, 2025.05
  • “Radio+AI: Wireless Perception beyond Human Vision”, POSTECH-EE, 2025.05
  • “Fusion of target and shadow regions for improved SAR ATR”, 차세대 국방융합기술 연구센터, 2021.07