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
Fellow of IEEE
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.
Prof. Francis Chin, University of Hong Kong, China
Fellow of IEEE, HKIE and HKACE
Emeritus Professor of University of Hong Kong, China
Biography: Professor Francis Chin has taught at University of Maryland Baltimore County, University of Alberta, University of California San Diego, Chinese University of Hong Kong, University of Texas at Dallas. Professor Chin joined HKU in 1985, was founding Head and Chair of the Department of Computer Science and Taikoo Professor of Engineering at HKU. He had served as an Associate Dean of the Graduate School from 2002 to 2006 and the Faculty of Engineering from 2007 to 2014.
Professor Chin has served as conference chairman and a member of the program committee of numerous international workshops and conferences. He was the Managing Editor of the International Journal of Foundations of Computer Science and on the editorial boards of journals. Professor Chin received the HKU Teaching Best Teaching, Teaching Excellence Award and Outstanding Research Award in 1991, 2000 and 2010 respectively. Professor Chin with his bioinformatics team has won the RECOMB 2022 Test-of-Time Award based on the impact of their RECOMB2010 IDBA paper. He is also listed within the World’s Top 2% Scientists published by Stanford University in October 2022.