Dong-Hee Paek
Dong-Hee Paek
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Hi, I am Dong-Hee Paek, an engineer interesting in
multi-modal data fusion
for end-to-end AI-embedded systems
ANN (in GPU and AI Accelerator)
QNN (in quantum computer)
SNN (in analog circuits)
cogniting worlds and creating solutions through more intelligent (embodied), accessible, and sustainable AI (Open SW) technologies.
[Scholar]
Education
Education
Ph.D Candidate, CCS Mobility & Robotics, KAIST Aug. 2025
Thesis: Towards AI-Driven Perception Using 4D Radar, LiDAR, and Camera: Both Individual and Fused ApproachesM.S. in Robotics, KAIST, Daejeon, S. Korea Aug. 2021
B.S. in Robotics, Kwangwoon Univ. Seoul, S. Korea Aug. 2019
(Summa Cum Laude; GPA: 4.40/4.50)
Professional Experience
Professional Experience
Senior Research Engineer, Zeta Mobility, Dajeon, S. Korea Mar. 2024 – Present
Research Area
Research Area
4D Radar & Multi-modal Data Fusion
K-Radar and 3D Object Detection Network (URL) Dec. 2022
Our research team has developed the world's first AI (deep neural network) for 4D Radar capable of detecting objects in all weather conditions, and has released the world's first and largest 4D Radar dataset to support Radar AI developers worldwide in their research. Both the AI network and dataset have been published at a leading AI conference (NeurIPS 2022).
Commercialization of AI Tech
Tutorials & Invited Seminars
Tutorials & Invited Seminars
Tutorials
"Introduction to 4D Radar: Hardware, MIMO, Signal Processing, Dataset, and AI"
IEEE Intelligent Vehicles Symposium 2024 June. 2024
Honors & Awards
Honors & Awards
Global Leadership Award in Challenge, President’s Award of KAIST Feb. 2024
Academic Service
Academic Service
Teaching Experience
Teaching Assistant at KAIST - Probabilistic Machine Learning, Kalman Filter, Navigation and Sensing
Teaching Assistant at Hyundai NGV - Autonomous Driving AI System
Teaching at LG - B2B Expert Training Project for Autonomous Driving
Reviewer for Journals and Conferences
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Radar Systems
IEEE Intelligent Vehicles Symposium
IEEE International Conference on Robotics and Automation
IET Radar, Sonar & Navigation
Advances in Neural Information Processing Systems
Extracurricular Activities
Extracurricular Activities
Military Service as Heavy-duty (11.5-ton) Truck Driver, S. Korea 2014 – 2015
References
References
Prof. Seung-Hyun Kong
Associate Professor, KAIST
Graduate School of Mobility
E-mail: skong@kaist.ac.kr
URL: https://ave.kaist.ac.kr/bbs/board.php?bo_table=sub1_1
Dr. Hyun-Seok Lee
CEO, Zeta Mobility
E-mail: hyunseok.lee@zetamobility.com
URL: https://zetamobility-company.imweb.me/Main
Prof. Whang Cho
Professor, Kwangwoon University
E-mail: robot@kw.ac.kr
URL: https://ei.kw.ac.kr/introduction/professor_view.php?idx=107
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