Dr. Ka-Hou Chan | Game Theory | Best Researcher Award
Researcher at Macao Polytechnic University, China
Dr. Ka-Hou Chan is a distinguished researcher specializing in algorithm analysis, video coding optimization, image processing, parallel computing, neural networks, and computer graphics. He earned his Ph.D. in Computer Applied Technology from Macao Polytechnic University in 2023, following his M.Sc. in Software Engineering from the University of Macau and a B.Sc. in Software Technology and Application from Macau University of Science and Technology. With extensive experience in academia and research, he has contributed significantly to real-time video captioning, humanoid vision, and deep analysis of surveillance videos. Dr. Chan has been involved in major funded research projects and has published extensively in high-impact journals, focusing on AI-driven video processing and machine learning applications. His expertise and innovative contributions make him a strong candidate for the Best Researcher Award, demonstrating excellence in advancing computational methodologies and applications in artificial intelligence, video compression, and neural network optimization.
Professional Profile
Education
Dr. Ka-Hou Chan obtained his Ph.D. in Computer Applied Technology from Macao Polytechnic University in 2023, where he specialized in algorithm analysis, video coding optimization, and neural networks. Before that, he earned his M.Sc. in Software Engineering from the University of Macau, gaining expertise in software design, AI-driven applications, and real-time computing. His academic journey began with a B.Sc. in Software Technology and Application from Macau University of Science and Technology, where he developed a strong foundation in programming, computer vision, and data analysis. Throughout his academic career, Dr. Chan engaged in rigorous research, contributing to cutting-edge advancements in image processing, deep learning, and computational optimization. His interdisciplinary academic background has shaped his ability to tackle complex computational problems, making him a key contributor to AI-driven video analytics and intelligent computing. His education has provided him with the theoretical knowledge and practical skills to drive innovation in artificial intelligence and software technologies.
Professional Experience
Dr. Ka-Hou Chan has amassed extensive experience in academia and research, focusing on artificial intelligence, video compression, and neural network optimization. He has been actively involved in several major research projects related to deep learning applications in video processing and surveillance analysis. As a researcher, he has contributed to the development of real-time video captioning, humanoid vision systems, and AI-driven multimedia analytics. He has also collaborated with international institutions and industry partners to improve the efficiency of video coding and parallel computing models. His work extends beyond research, including teaching engagements where he mentors students in AI, computer vision, and computational algorithms. Dr. Chan has also served as a reviewer for high-impact journals, assessing groundbreaking research in artificial intelligence and image processing. His professional contributions demonstrate his commitment to pushing the boundaries of AI and machine learning, bridging the gap between theoretical advancements and real-world applications.
Research Interest
Dr. Ka-Hou Chan’s research interests lie at the intersection of artificial intelligence, video processing, and deep learning. His primary focus is on algorithm optimization for real-time video captioning, surveillance video analysis, and AI-driven image enhancement. He has made significant contributions to video coding efficiency, exploring novel compression techniques to enhance transmission and storage capabilities. Additionally, his work in neural network optimization seeks to improve computational efficiency for AI models applied in image recognition, motion detection, and intelligent video analytics. Dr. Chan is also interested in the application of parallel computing and high-performance computing techniques to enhance deep learning training processes. His research is highly interdisciplinary, integrating computer vision, software engineering, and AI methodologies to solve complex computational problems. Through his innovative work, he aims to advance the field of intelligent computing, contributing to the next generation of AI-driven multimedia applications and enhancing real-time data processing capabilities.
Awards and Honors
Dr. Ka-Hou Chan has received several accolades for his outstanding contributions to artificial intelligence, video processing, and algorithm development. His research achievements have been recognized in high-impact academic awards and prestigious AI symposiums. He has been the recipient of multiple research grants and funding awards, supporting his groundbreaking work in neural networks and video coding optimization. Dr. Chan has also been acknowledged for his excellence in academia, receiving best paper awards for his contributions to AI-driven image processing and deep learning-based video analytics. His research has been cited widely, further cementing his impact in the field. Additionally, he has served as an invited speaker at AI awards, sharing his insights on computational intelligence and algorithmic advancements. His dedication to research excellence and innovation has established him as a leading figure in AI-driven multimedia applications, earning him a strong reputation within the scientific and academic communities.
Conclusion
Dr. Ka-Hou Chan is a highly accomplished researcher specializing in artificial intelligence, video processing, and neural network optimization. With a robust academic background and extensive research experience, he has made significant contributions to AI-driven multimedia analytics, enhancing real-time video captioning and intelligent surveillance systems. His work in algorithm optimization and deep learning has paved the way for advancements in computer vision, video compression, and computational intelligence. Recognized through numerous awards and research grants, Dr. Chan continues to push the boundaries of AI innovation, impacting both academia and industry. His interdisciplinary expertise, combined with his commitment to research excellence, positions him as a leader in intelligent computing and software engineering. As he continues to explore the frontiers of AI and machine learning, Dr. Chan remains dedicated to developing cutting-edge solutions that revolutionize video analytics, deep learning applications, and high-performance computing.
Publications Top Noted
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- Authors: Mingfu Jiang, Shuai Wang, Ka-Hou Chan, Hing-Chiu Chang, Tao Tan
- Year: 2025
- Source: Computerized Medical Imaging and Graphics
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GAT-Based Bi-CARU with Adaptive Feature-Based Transformation for Video Summarisation
- Authors: Ka-Hou Chan, Sio-Kei Im
- Year: 2024
- Source: Technologies
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Local Feature-Based Video Captioning with Multiple Classifier and CARU-Attention
- Authors: Sio-Kei Im, Ka-Hou Chan
- Year: 2024
- Citations: 1
- Source: IET Image Processing
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Faster Intra-Prediction of Versatile Video Coding Using a Concatenate-Designed CNN via DCT Coefficients
- Authors: Sio-Kei Im, Ka-Hou Chan
- Year: 2024
- Citations: 1
- Source: Electronics (Switzerland)
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Neural Machine Translation with CARU-Embedding Layer and CARU-Gated Attention Layer
- Authors: Sio-Kei Im, Ka-Hou Chan
- Year: 2024
- Citations: 4
- Source: Mathematics
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Dynamic Estimator Selection for Double-Bit-Range Estimation in VVC CABAC Entropy Coding
- Authors: Sio-Kei Im, Ka-Hou Chan
- Year: 2024
- Citations: 2
- Source: IET Image Processing
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CABAC-Based ROI Encryption with Mask R-CNN for VVC Codec
- Authors: Sio-Kei Im, Ka-Hou Chan
- Year: 2024
- Source: Conference Paper
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Light-Field Image Super-Resolution with Depth Feature by Multiple-Decouple and Fusion Module
- Authors: KH Chan, SK Im
- Year: 2024
- Citations: 4
- Source: Electronics Letters, Volume 60 (1), e13019
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Parallel Dense Video Caption Generation with Multi-Modal Features
- Authors: X Huang, KH Chan, W Ke, H Sheng
- Year: 2023
- Citations: 4
- Source: Mathematics, Volume 11 (17), 3685
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Distributed Spatial Transformer for Object Tracking in Multi-Camera
- Authors: SK Im, KH Chan
- Year: 2023
- Citations: 4
- Source: 2023 25th International Conference on Advanced Communication Technology
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A Propagation Model for Package Loss Refinement in VVC
- Authors: SK Im, KH Chan
- Year: 2022
- Citations: 4
- Source: Electronics Letters, Volume 58 (20), 759-761
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2021 IEEE 4th International Conference on Computer and Communication Engineering Technology (CCET)
- Authors: KH Chan, G Pau, SK Im
- Year: 2021
- Citations: 4
- Source: IEEE