Technical University of Munich (TUM)
Postdoctoral Researcher
Chair for Computer Aided Medical Procedures & Augmented Reality (CAMP)
Technical University of Munich (TUM)
e-mail: hongjoo.lee@tum.de / [Google Scholar]
Research Interest:
Robust AI, Adversarial Robustness
Secure and Safe AI Systems
Medical Image Analysis
Multimodal Learning
2019 - 2023: Ph.D. degree in EE from Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
2016 - 2018: M.S. degree in EE from Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
2009 - 2016: B.S. degree in ECE from Ajou University, Republic of Korea
(June. 2025) 1 paper is accepted in the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
(July. 2024) 1 paper is accepted in the European Conference on Computer Vision (ECCV 2024)
(Feb. 2024) 1 paper is accepted in the International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2024, IJCARS)
(Dec. 2023) 1 paper is accepted in IEEE Transactions on Dependable and Secure Computing (IEEE TDSC, IF: 7.3)
(June. 2023) I joined Chair for Computer Aided Medical Procedure & Augmented Reality (CAMP) lab as a postdoctoral researcher working with Prof. Nassir Navab.
(June. 2023) I won a research grant from Bavarian Research Foundation (BFS)
(June. 2023) 1 paper is accepted in IEEE Transactions on Information Forensics and Security (IEEE TIFS, IF: 7.231)
(March. 2023) 1 paper is accepted in IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS, IF: 14.255)
Journal Reviewer (IEEE TMI, IEEE TCSVT, IEEE TIP, Pattern Recognition)
Conference Reviewer (CVPR, ECCV, ICCV)
National Government Fellowship (2019 - Present, Government of South Korea)
Best Paper Award (Sep. 2020, Military Operations Research Society of Korea)
1st Prize in Drone Racing Competition (Nov. 2020, DAPA, South Korea)
LIG Nex1 (Aug. 2013 - Sep. 2013)
(Aerospace manufacturer and defense compayn, Pangyo House, Republic of Korea)Wireless device verification and supporting
Wireless device performance assessment
Device defect detection
SK Hynix (Dec. 2016 - Jan. 2017)
CMOS image sensor quality measurement
Image super-resolution algorithm development
Visiting Researcher at Technical University of Munich, Germany (Oct. 2019 - Dec. 2019)
Predictive uncertainty estimation with Bayesian approximation
Co-worker: Seong Tae Kim (Assistant Professor of Computer Science, Kyung Hee University)
Nassir Navab (Professor of Computer Science, Technische Universität München)