Deokwoo Lee
Deokwoo Lee - PI
Deokwoo Lee - PI
Associate Professor, Department of Computer Engineering, Keimyung University, Daegu, Republic of Korea
Associate Professor, Department of Computer Engineering, Keimyung University, Daegu, Republic of Korea
- Phone : 053-580-5268
- Office : Engineering Bldg I - Room1323
Research Interests
Research Interests
- Signal Processing
- Image Processing
- Computer Vision
Biography : Deokwoo LEE is currently working at Keimyung University as an associate professor. He joined KMU in March 2018.He completed his undergraduate study in electrical engineering at Kyungpook National University in 2007, Daegu, Republic of Korea. He completed his mandatory military service in Korean Army from 2002 to 2004. He earned M.S and Ph.D degrees in electrical engineering at North Carolina Sate University, Raleigh, NC, USA in 2008 and 2012, respectively. He earned minor Ph.D degree in mathematics. He worked in VISSTA group at NCSU as a graduate research/teaching assistant under supervision by Dr. Hamid Krim who also guided master and doctoral research. During his graduate study, his research focused on determination of sampling criterion for multidimensional signals including 2D and 3D images. He also worked on computer vision, especially on 3D reconstruction, depth estimation using passive and active methods and camera calibration. After his doctoral course, he worked on medical image analysis as a postdoctoral research associate in Medical Imaging and Bioinformatics Lab at Washington University in St. Louis, St. Louis, MO, USA for a few months in 2013. He joined a Group of Mobile Camera Development at Samsung Electronics, Suwon, Republic of Korea in September 2013. He worked on developing SW algorithm for mobile camera. From September 2016 to February 2018, he worked at Youngsan University, Busan as an assistant professor. His current research covers theory and applications in computer vision, image and signal processing from mathematical and statistical perspectives.
Biography : Deokwoo LEE is currently working at Keimyung University as an associate professor. He joined KMU in March 2018.He completed his undergraduate study in electrical engineering at Kyungpook National University in 2007, Daegu, Republic of Korea. He completed his mandatory military service in Korean Army from 2002 to 2004. He earned M.S and Ph.D degrees in electrical engineering at North Carolina Sate University, Raleigh, NC, USA in 2008 and 2012, respectively. He earned minor Ph.D degree in mathematics. He worked in VISSTA group at NCSU as a graduate research/teaching assistant under supervision by Dr. Hamid Krim who also guided master and doctoral research. During his graduate study, his research focused on determination of sampling criterion for multidimensional signals including 2D and 3D images. He also worked on computer vision, especially on 3D reconstruction, depth estimation using passive and active methods and camera calibration. After his doctoral course, he worked on medical image analysis as a postdoctoral research associate in Medical Imaging and Bioinformatics Lab at Washington University in St. Louis, St. Louis, MO, USA for a few months in 2013. He joined a Group of Mobile Camera Development at Samsung Electronics, Suwon, Republic of Korea in September 2013. He worked on developing SW algorithm for mobile camera. From September 2016 to February 2018, he worked at Youngsan University, Busan as an assistant professor. His current research covers theory and applications in computer vision, image and signal processing from mathematical and statistical perspectives.
Thesis / Dissertation Supervision
Thesis / Dissertation Supervision
- 이호정, 딥러닝 활용 표정 인식 기반의 과정 중심 평가 방법에 관한 연구, 교육대학원 전산교육전공 석사, 2020년 2월
- 김지수, 심층신경망을 이용한 시각집중 기반의 행동인식, 일반대학원 컴퓨터공학과 석사, 2021년 2월
- 박철형, 특징 시각화와 합성곱 신경망 기반의 호흡 분류, 일반대학원 컴퓨터공학과 석사, 2021년 8월
- 김지은, 변형가능한 합성곱 기반의 시각언어 모델, 일반대학원 컴퓨터공학과 석사, 2023년 2월
- Boulaouane Youssef, Image Classification Based on Convolutional Neural Network using Knowledge Distillation and Efficient Channel Attention, 일반대학원 컴퓨터공학과 석사 2023년 8월
Teaching : Fall/2023
Teaching : Fall/2023
Programming Languages
Data Communications
Software Engineering
Teaching : Spring/2024
Teaching : Spring/2024
Operating Systems
Discrete Mathematics
Vehicular Vision Systems