Speakers

Home Speakers Keynote Speakers

  • Keynote Speakers


Prof. Sam KWONG Tak Wu, Lingnan University, Hong Kong, China
Fellow of IEEE, Fellow of the US National Academy of Innovators
Fellow of the Hong Kong Academy of Engineering and Sciences
Chair Professor of Computational Intelligence, Associate Vice-President (Strategic Research) of Lingnan University


Speech Title: Creating a Better Future: Harnessing AI for Social and Environmental Responsibility

Abstract: In this talk, I will explore the potential of artificial intelligence (AI) to address some of the most pressing social and environmental challenges facing our world today. With its ability to analyze vast amounts of data, identify patterns, and make predictions, AI has the potential to revolutionize fields such as healthcare, education, and climate science.
However, as AI becomes more powerful and ubiquitous, it is also raising important ethical and social questions. How can we ensure that AI is used for the greater good, rather than contributing to inequality and injustice? How can we ensure that the benefits of AI are shared fairly across society, rather than concentrated among a small group of wealthy individuals and corporations?
In this talk, the speaker will delve into various questions related to AI applications and their positive impact on society and the environment. The talk will draw on examples of specific AI applications that are already making a difference. For instance, the underwater instance segmentation, which is the process of detecting and segmenting objects in underwater images. This technology has the potential to improve underwater exploration, marine conservation, and disaster response efforts.
Another example is image reconstruction based on compressive sensing. This technique allows for the reconstruction of high-quality images from a limited amount of data, which can be particularly useful in applications such as medical imaging or remote sensing. The third topic is the low night image enhancement, which is a technology that enhances images taken in low-light conditions. This can improve the accuracy and effectiveness of applications such as surveillance, transportation safety, and security.
By exploring these and other examples of AI applications, the talk aims to demonstrate the potential of AI to make a positive impact on society and the environment, and to inspire further innovation in
Ultimately, this talk will aim to inspire and empower attendees to think critically about the role of AI in shaping our future, and to explore ways in which they can harness this powerful technology to create a more just, equitable, and sustainable world.

 

Biography: Professor KWONG Sam Tak Wu is the Chair Professor of Computational Intelligence, and concurrently as Associate Vice-President (Strategic Research) of Lingnan University. 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 was listed as one of the top 2% of the world’s most cited scientists, according to the Stanford University report. He was listed as one of the most highly cited scientists by Clarivate in 2022 and 2023. 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 2021-23. Professor Kwong has a prolific publication record with over 350 journal articles, and 160 conference papers with an h-index of 83 based on Google Scholar. He is currently the associate editor of many leading IEEE transaction journals. He is a fellow of the US National Academy of Innovators. and the Hong Kong Academy of Engineering and Sciences.

 


Prof. Qingfu Zhang, City University of Hong Kong, Hong Kong, China
IEEE Fellow
Chair Professor of Department of Computer Science, City University of Hong Kong, Hong Kong, China


Biography: Qingfu Zhang is Chair Professor of Computational Intelligence at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. MOEA/D, a multiobjective optimization algorithm developed by him and his students, is one of the two most used multiobjective optimization framework. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He has been in the list of SCI highly cited researchers for five consecutive years, from 2016 to 2020. He is an IEEE fellow.

 

More speakers will be updated soon....