Speakers

Keynote Speaker I

Prof. Chiu-Lin Lai

National Taichung University of Education, Taiwan ROC

Title of Speech: The Triple Symbiosis: Cultivating Higher-Order Thinking and Human Agency in the AI Era

Abstract: This keynote proposes a "Triple Symbiosis" framework to examine the interactive and reciprocal relationships among teachers, students, and AI within educational settings. The talk is structured around three practical dimensions. First, from the teachers' perspective, the focus is on translating pedagogical methodologies into AI configuration. It covers how teachers integrate General AI and instructional strategies, and how they embed educational scaffolding theories into prompts to construct custom AI agents. Second, regarding student engagement, the presentation shares the outcomes of a large-scale national initiative in Taiwan, examining how AI-assisted systems support students' self-regulated learning. Furthermore, it discusses the impact of student agency on the effective utilization of AI to achieve higher-order thinking. Finally, this address discusses "Human Resilience" and "Human Agency" within AI-assisted environments. It illustrates how students employ metacognition and self-regulation to foster their academic and personal well-being, thereby directly addressing the core theme of the conference: "AI for Humanity."

Biography: Dr. Chiu-Lin Lai is a Professor in the Bachelor Program of Interdisciplinary Studies at National Taichung University of Education, Taiwan. Her expertise includes technology-enhanced self-regulated learning, artificial intelligence in education, digital learning, mobile and ubiquitous learning, technology-enabled teacher professional development, and learning process and behavior analysis.

She has published more than 96 papers related to digital learning, including 36 SSCI-indexed journal articles. Since 2021, she has been listed among the World’s Top 2% Scientists by Elsevier, and in 2025 she was included in both the career-long and single-year impact lists. She currently serves as Associate Editor of Educational Technology & Society (ET&S).

Dr. Lai is also the principal investigator of several national projects in Taiwan, including initiatives on technology-enhanced self-regulated learning for senior high schools, digital learning enhancement, and digital teaching lecturer communities. Her work aims to advance the meaningful integration of digital technologies and artificial intelligence into teaching, learning, and teacher professional development.

 

 

 

 

Keynote Speaker II

Prof. KWONG Sam Tak Wu (IEEE Fellow)

Associate Vice-President (Strategic Research) of Lingnan University, HKSAR, China

Title of Speech: AI in Image and Video Processing

Abstract: This presentation will explore the application of artificial intelligence across consumer electronics, image processing, and evolutionary computation, highlighting the speaker’s award-winning contributions. It begins with his 2024 Second Place recognition in the prestigious IEEE Chester W. Sall Memorial Awards for impactful research published in IEEE Transactions on Consumer Electronics. This work leverages AI for COVID-19 screening by automating lung infection segmentation in CT scans—an essential tool that provides critical support to medical professionals.

Another key contribution presents the first comprehensive perceptual study and analysis of underwater image enhancement using a large-scale real-world image dataset. In this work, the Underwater Image Enhancement Benchmark (UIEB) was constructed, comprising 950 real-world underwater images, 890 of which have corresponding reference images. The remaining 60 images, for which satisfactory reference images could not be obtained, are treated as challenging data. Utilizing this dataset, a thorough qualitative and quantitative evaluation of state-of-the-art underwater image enhancement algorithms was conducted. This groundbreaking research earned the IEEE Signal Processing Society’s 2025 Best Paper Award for advancing benchmark datasets and novel enhancement techniques.
Finally, the presentation will delve into his co-authored paper, “Learning-Aided Evolution for Optimization,” which was honored with the 2026 IEEE Transactions on Evolutionary Computation Outstanding Paper Award.

Biography: Professor KWONG Sam Tak Wu is the Associate Vice-President (Strategic Research), J.K. Lee Chair Professor of Computational Intelligence, and the Dean of the School of Graduate Studies. Professor Kwong is a distinguished scholar in evolutionary computation, artificial intelligence (AI) solutions, and image/video processing, with a strong record of scientific innovations and real-world impacts. Professor Kwong is one of the most highly cited researchers by Clarivate in 2022, 2023 and 2024. He has also been actively engaged in knowledge transfer between academia and industry. He was elevated to IEEE Fellow in 2014 for his contributions to optimization techniques in cybernetics and video coding. He was  the President of the IEEE Systems, Man, and Cybernetics Society (SMCS) in 2021-22. He is a fellow of the US National Academy of Inventors (NAI), the Canadian Academy of Engineering, and the Hong Kong Academy of Engineering (HKAE). Professor Kwong has a prolific publication record, with over 500 journal articles and 160 conference papers, and an h-index of 102, as per Google Scholar. He is a highly cited researcher from 2022 to 2025.

In 2024, he was awarded Second Place in the IEEE Chester W. Sall Memorial Awards for his work published in IEEE Transactions on Consumer Electronics. He has also received the IEEE Signal Processing Society (IEEE SPS) 2025 Best Paper Award for his research paper titled “An Underwater Image Enhancement Benchmark Dataset and Beyond,” published in IEEE Transactions on Image Processing. Additionally, he was honored with the 2026 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his co-authored paper, “Learning-Aided Evolution for Optimization.” He currently serves as an associate editor for several leading IEEE Transactions journals.