Dr. Weng Tak Kuok
Associate Professor Master/Ph.D. Supervisor 
Master's Degree Programme Coordinator
Email: wtkuok@cityu.edu.mo
Phone: (853)85902972
Office address: Room T213, Tai Fung Building, City University of Macau (Taipa)
Educational experience
Department of Electronics, Tsinghua University, Information and Communication Engineering, Doctor of Philosophy in Engineering
Department of Electronics, Tsinghua University, Information and Communication Engineering, Master of Engineering
Northeastern University, Electronic Information Engineering, Bachelor of Engineering
Work experience
January 2021 to present Assistant Professor, Faculty of Data Science, City University of Macau
Teaching courses
Computer Network, Information Security and other courses
Research direction
Image Processing, Computer Vision, Pattern Recognition, Deep Learning, Environmentally sustainable computing and remote sensing data spatial analysis and applications
Scientific research experience
September 2016 ─ December 2019, Research on the coordinated development of macroeconomics and ecological environment based on remote sensing images
Main work: Construct a comprehensive analysis framework and model for China's macroeconomic and ecological environment based on multi-source remote sensing data, quickly assess and predict sustainable development indicators and their spatial distribution, and cross-apply big data combined with artificial intelligence methods to social development. science and environment
April 2017 - September 2017, Visiting scholar at the Department of Electrical Engineering and Computers, Oregon State University, USA
Main work: Studying under the tutelage of Emeritus Professor Thomas Dietterich, participating in application projects related to environmentally sustainable computing, and studying the problem of missing data in remote sensing images due to occlusion.
September 2012 - January 2014, Research on pedestrian target detection based on low-altitude unmanned aerial vehicle
Main work: For the obtained low-altitude aerial pedestrian images, an improved pedestrian detection algorithm is proposed, which can quickly and accurately detect the location of pedestrians and is transplanted to the embedded platform to effectively solve the problem of pedestrian detection under low-altitude motion platforms.
Publications
[1] Yongde Guo, H. Ma. A Nonparametric Patch Reconstruction Method for Blind Color Image Deconvolution. IEEE Signal Processing Letters. (Under review)
[2] Yongde Guo, H. Ma. Image Blind Deblurring Using An Adaptive Patch Prior. Tsinghua Science and Technology. 2019, 24(2):238-248.
[3] Yongde Guo, H. Ma. An Adaptive Patch Prior for Single Image Blind Deblurring. IEEE International Conference on Image Processing (ICIP), 2018, 569-573.
[4] Yongde Guo, H. Ma. Spatial Correlation Analysis of Suomi-NPP Nighttime Light Data and GDP Data of China. Journal of Tsinghua University (Science and Technology), 2016, 56(10):243-250.
