Jong-Uk Hou (허종욱), Ph. D.
Jong-Uk Hou (허종욱), Ph. D.
Embedded Files
I am an Assistant Professor at School of Software, Hallym University and the Principal Investigator of Multimedia Computing Laboratory. I received my Pd.D. from KAIST under the supervision of Prof. Heung-Kyu Lee. My major interests include various aspects of multimedia processing and security, computer vision, and machine learning. [Lab🏠] [Google scholar] [LinkedIn]
<Contact>
Office: 한림대학교 공학관 3rd floor, A1301호
Email: juhou (at) hallym.ac.kr
Phone: (+82)-33-248-2359
<Education>
Ph.D. in School of Computing, KAIST, 2018
M.S. in School of Computing, KAIST, 2014
B.S. in Information and Computer Engineering, Ajou University, 2012
<Experience>
School of Software, Hallym University, South Korea
Assistant Professor, 2019. Sep . - Present
SCSE, Nanyang Technological University, Singapore
Research Fellow, 2018. Aug. - 2019. Jul. (Advisers: Prof. Weisi Lin)
School of Computer Science and Engineering, Multimedia and Interactive Computing Lab
Significance-based large-scale 3D point cloud compression and management
Visiting Ph.D. Student, 2018. Jan. - 2018. March. (Advisers: Prof. Weisi Lin)
AICT, Seoul National University, Republic of Korea
Assistant Researcher, 2012. Jan. - 2012. August. (advisor: Dr. Byung-Won On, Dr. Manjai Lee)
Public data analysis, topic modeling, and data visualization
Developed a HTML5 Canvas-based program (See video: www.politiz.org)
<Honors>
PhD Fellowship for overseas study
National Research Foundation of Korea, 2017
Naver PhD Fellowship
Naver Corporation, 2017
Best Paper Award
18th International Workshop on Information Security Applications, 2017
Global PhD Fellowship
National Research Foundation of Korea, 2015
Certificate of Assessment
IHC Evaluation Criteria and Compitition, 2014
Qualcomm Innovation Award
Qualcomm Korea, 2013
<Teaching>
Spring, 2022:
Introduction to Multimedia
Image Processing
Advanced Computer Vision (Graduate Course)
Fall, 2021:
Deep Learning and Image Processing
Advanced Image Processing (Graduate Course)
Spring, 2021:
Introduction to Multimedia
Image Processing
Computer Vision (Graduate Course)
Fall, 2020:
Deep Learning and Image Processing
Advanced Image Processing (Graduate Course)
Spring, 2020:
Introduction to Multimedia
Future SW Convergence: Machine Learning, and 3D Printing (Pre-Medical Course)
Fall, 2019:
Database
Contents IT Convergence: 3D Printing Technology (Graduate Course)
<Professional Activity: Reviewer>
2021- : Expert Systems with Applications (ESWA)
2021- : ELSEVIER Digital Signal Processing (DSP)
2020-: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020-: ELSEVIER Signal Processing: Image Communication
2018- : ELSEVIER Signal Processing
2016-: IEEE Transactions on Information Forensics and Security (TIFS)
2016- : IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
2015-: IEEE International Conference on Image Processing (ICIP)
2018-2019 : IEEE Transactions on Image Processing (TIP)
2015: IET Information Security
Page updated
Google Sites
Report abuse