Meet The Team
Chaired doctoral research
MS-PhD student, SKKU (Spring 2024--)
MIDAS intern (Dec. 2023--Feb. 2024)
Beom, Dong Gyu
Diffusion model, contrastive learning, super-resolution MRI, lung nodule detection in CT
PhD student, ECE, SKKU (Spring 2023--)
Ali, Sajid
Explainable AI: visualization method, multi-task learning, multi-modal analysis
MS-PhD student, AI, SKKU (Spring 2023--)
Choi, Wontae
Diffusion model, blind motion deblurring, coded exposure photography
Chaired M.S. research
BS-MS student, EEE-ECE, SKKU (Fall 2023--)
Jeong, Yunsu
Diffusion model, 3D image reconstruction
MS student, ECE, SKKU (Fall 2023--)
Kim, Seohyun
Contrastive learning, motion estimation, self-supervised learning
BS-MS student, EEE-ECE, SKKU (Spring 2023--)
MIDAS intern (Mar. 2022--Feb. 2023)
Moon, Hyung Seok
Self-supervised learning, meta-transfer learning, diffusion model, low-dose CT
MS student, ECE, SKKU (Spring 2023--)
Yun, Hyungsup
Diffusion model, light-field photography, 3D image reconstruction
MS student, ECE, SKKU (Spring 2023--)
Roh, Sumin
Contrastive learning, multi-modal analysis, lung nodule prognosis, depression analysis
MS student, ECE, SKKU (Spring 2023--)
MIDAS intern (Sep. 2022--Feb. 2023)
Park, Jinbok
Self-supervised learning, transformers, autonomous driving
MS student, AI, SKKU (Fall 2022--)
Jeong, U Jin
Contrastive learning, semi-supervised learning, object detection, autonomous parking
MS student, ECE, SKKU (Fall 2022--)
Yoo, Hyebin
Diffusion model, 3D image reconstruction, neural view synthesis
Graduate students whose dissertation research I (co-)chaired
MS, EE: Systems, UHM (2020)
Harun, Md Yousuf
Microscopic image segmentation
Co-chaired with Prof. Aaron Ohta (ECE, UHM)
Ph.D. student at RIT EME (Fall 2020--)
Doctoral students whom I am co-mentoring or co-mentored
PhD candidate, ECE, UNIST
Co-mentor: Prof. Se Young Chun at SNU
Park, Dongwon
Self-supervised learning, camera imaging
Research scientist, SNU, ROK (3/2021--)
PhD, ECE, SJTU (2021)
Co-mentor: Prof. Yong Long at SJTU
Ye, Siqi
Iterative neural network, low-dose CT reconstruction
Post doc., Stanford (Rad. Oncology), USA (1/2022--)
PhD student, ECE, SJTU
Co-mentor: Prof. Yong Long at SJTU
Li, Zhipeng
Iterative neural network, dual-energy CT material decomposition
PhD, EECS, UMich (2021)
Co-mentor: Prof. Ted Norris at UMich
Huang, Zhengyu
Iterative neural network, depth estimation, 3D object tracking, light-field photography using focal stack
Nvidia, Shanghai, China (4/2022--)
PhD student, ECE, SJTU
Co-mentor: Prof. Yong Long at SJTU
Zheng, Xuehang
Learned regularizer, iterative neural network, self-supervised learning, low-dose CT reconstruction
PhD, EECS, UMich (2020)
Co-mentor: Profs. Jeffrey A. Fessler at UMich
Lim, Hongki
Iterative neural network, low-count emission tomo.
Simens Research, Princeton, USA (9/2020--1/2022)
Asst. Prof. in Inha Univ., ROK (3/2022--)
PhD, ECE, Purdue (2019)
Co-mentor: Prof. Thomas M. Talavage at Purdue
Jang, Ikbeom
Neuroimaging, sports-related sub-concussion
Post doc., MGH & Harvard Med., USA (9/2019--)
Undergraduate researchers (partial list)
URP student, BME & EEE, SKKU (Summer 2023)
Lee, Minseo
Contrastive learning, depression & suicidality detection
URP student, BME & EEE, SKKU (Summer 2023)
Hong, Nari
Contrastive learning, depression & suicidality detection
Visiting scholars
Assistant Prof. in CSEE (Handong Global Univ.)
Visiting period: 3/2021--1/2022
Prof. Sung Soo Hwang
Visual SLAM, self-driving cars, neural view synthesis