Guan Gui (Fellow, IEEE) received a Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2012. From 2009 to 2014, he joined Tohoku University as a research assistant and a postdoctoral research fellow, respectively. From 2014 to 2015, he was an Assistant Professor at the Akita Prefectural University, Akita, Japan. Since 2015, he has been a professor at Nanjing University of Posts and Telecommunications, Nanjing, China. His recent research interests include intelligence sensing and recognition, intelligent signal processing, and physical layer security. Dr. Gui has published over 200 IEEE Journal/Conference papers and won several best paper awards, e.g., ICC 2017, ICC 2014, and VTC 2014-Spring. His contributions to intelligent signal analysis and wireless resource optimization have earned him the title of Fellow of the IEEE, IET, and AAIA. He received the IEEE Communications Society Heinrich Hertz Award in 2021, top 2% scientists of the World by Stanford University in 2021-2023, the Clarivate Analytics Highly Cited Researcher in Cross-Field in 2021-2023, the Highly Cited Chinese Researchers by Elsevier in 2020-2023, the Member and Global Activities Contributions Award in 2018, the Top Editor Award of IEEE Transactions on Vehicular Technology in 2019, the Outstanding Journal Service Award of KSII Transactions on Internet and Information System in 2020, the Exemplary Reviewer Award of IEEE Communications Letters in 2017, the 2012 Japan Society for Promotion of Science (JSPS) Postdoctoral Fellowships for Foreign Researchers, and the 2018 Japan Society for Promotion of Science (JSPS) International Fellowships for Overseas Researchers. He was also selected as the Jiangsu Specially-Appointed Professor in 2016, the Jiangsu High-level Innovation and Entrepreneurial Talent in 2016, and the Jiangsu Six Top Talent in 2018. Since 2022, he has been a Distinguished Lecturer of the IEEE Vehicular Technology Society. He is serving or served on the editorial boards of several journals, including IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology. In addition, he served as the IEEE VTS Ad Hoc Committee Member in AI Wireless, General Co-Chair of EAI MOBIMEDIA 2024, General Co-Chair of ICN2024, General Co-Chair of GAIIS 2024, TPC Chair of IoTML 2024, TPC Chair of FAIML 2024, Executive Chair of IEEE ICCT 2023, Workshop Chair of LANTINCOM2023, TPC Chair of PRAI 2022, TPC Chair of ICGIP 2022, Executive Chair of VTC 2021-Fall, Vice Chair of WCNC 2021, TPC Chair of PHM 2021, Symposium Chair of WCSP 2021, General Co-Chair of Mobimedia 2020, TPC Chair of WiMob 2020, Track Chairs of EuCNC 2021 and 2022, VTC 2020 Spring, Award Chair of PIMRC 2019, and TPC member of many IEEE international conferences, including GLOBECOM, ICC, WCNC, PIRMC, VTC, and SPAWC.

Prof. Tongliang Liu Director of Sydney AI Centre Deputy Associate Head of School (Research) ARC Future Fellow; ARC DECRA Fellow School of Computer Science Facult of Engineering The University of Sydney, Australia

Tongliang Liu is the Director of Sydney AI Centre (which has 11 academic staff and 100+ PhD students) and an Associate Professor in machine learning at The University of Sydney, Australia; a Visiting Scientist of RIKEN AIP, Tokyo, Japan; an Affiliated Professor with Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; a Visiting Professor with University of Science and Technology of China, Hefei, China. Before joining The University of Sydney in 2017, he was a Lecturer at University of Technology Sydney. He is also leading the Trustworthy Machine Learning Lab (TML Lab) at The University of Sydney, which hosts, attracts, and connects the best global talents to develop trustworthy machine learning techniques and tools, which are explainable, robust, fair, causally responsible, and privacy-preserving. Our mission is to make machines trustworthy, which is a foundation for our society to develop and deploy artificial intelligence to improve our lives. Tongliang Liu has published more than 200 papers at leading ML/AI conferences and journals. According to CS Rankings, he has been ranked as the first in machine learning in Australasia. He received the Outstanding Research Contribution Award from the Computing Research and Education Association of Australasia, CORE Inc., in 2024, IEEE AI's 10 to Watch Award from the IEEE Computer Society in 2023, Eureka Prize shortlist for Emerging Leader in Science from Australian Museum in 2023, Future Fellowship Award from Australian Research Council (ARC) in 2022, Faculty Early Career Research Excellence Award at The University of Sydney in 2021, the Top-40 Early Achievers by The Australian in 2020, and the Discovery Early Career Researcher Award (DECRA) from ARC in 2018. He also received multiple faculty awards, e.g., from OPPO and Meituan. Tongliang is also very proud of his talented students, who have made/are making/will make significant contributions to advancing science. They have also been recognised by many awards, e.g., Google PhD Fellowship Awards. He is a Co-Editor-in-Chief of Neural Networks. He is a Senior Area Chair of NeurIPS and ICLR. He is regularly the meta-reviewer of ICML, NeurIPS, ICLR, UAI, IJCAI, and AAAI. He is an Associate Editor of IEEE TPAMI, ACM Computing Surveys, and TMLR, and on the Editorial Board of Journal of Machine Learning Research and the Machine Learning journal.

Prof. Bingang Xu Chair of Research Postgraduate Programme Committee Deputy Chair of School Research Committee School of Fashion and Textiles Research Institute for Intelligent Wearable Systems Research Institute for Smart Energy Research Centre for Resources Engineering towards Carbon Neutrality The Hong Kong Polytechnic University, Hong Kong, China

Bingang Xu is a full Professor at The Hong Kong Polytechnic University. His research interests include smart wearables, wearable electronics, energy conversion and storage, computer vision and artificial intelligence. Prof. Xu has published over 200 refereed journal papers and holds 12 granted patents. His recent work on advanced and smart materials/devices has been published in top-tier SCI journals such as Nature Communications, Matter, Advanced Materials, Advanced Energy Materials, Advanced Functional Materials, Materials Today, Nano Energy, SusMat, Advanced Fiber Materials, Angewandte Chemie International Edition, Applied Catalysis B-Environmental, Carbon Energy, IEEE Transactions on Cybernetics, etc. Prof. Xu leads his team in doing frontier research, and over the past 5 years, has published over 60 journal articles in high-impact SCI journals with impact factor over 15.0 and also in Top 5% of ranked SCI journals as corresponding author. He has been ranked among the World's Top 2% most-cited scientists in the report of Stanford University. As the Principal Investigator, Prof. Xu has led his team to win two Gold Awards with the Congratulations of Jury in International Exhibition of Inventions of Geneva in Switzerland. Prof. Xu is now serving as a reviewer for over 20 world leading journals with impact factor over 10.0 such as Nature Communications, Matter, Advanced Materials, etc. He has been invited as Chair, Co-chair, Editor, Co-editor, Keynote Speaker, and Section Chair for a number of international conferences, and also served as a TPC member for over 20 international conferences with themes in advanced materials, sustainable green energy, electrical engineering and automation, materials and environmental, computer science and artificial intelligence, mechanical and applied mathematics. Prof. Xu is currently the Editor and Editorial Board Member of a number of SCI journals, also served as External Assessor and Examiner for overseas research grant proposals and PhD thesis.

Invited Speakers

(Alphabetize by Last Name)

Dr. Hanan Aldowah Universiti Sains Malaysia (USM), Malaysia

Dr. Hanan Aldowah is currently a senior lecturer at Universiti Sains Malaysia (USM), where she has earned both a Ph.D. and a Master's degree in Instructional Technology and Multimedia. Aldowah possesses a comprehensive educational background. This is further enriched by a Bachelor’s in computer science, offering a versatile skill set honed through practical experience and academic achievements.. Her extensive expertise spans diverse domains, including Data Analytics, Data Mining, Machine Learning, Artificial Intelligence, Internet of Things, Engineering Pedagogical Research, Cognitive Maps, VR & Augmented Reality, and Instructional Technology. Aldowah holds a keen interest in online learning, E-learning, educational technology, and the application of emerging technologies such as AI, IoT, ML, and sentiment analysis to enhance various sectors, including management, education, computer education, engineering education. Driven by a commitment to contribute to experiential education research and develop robust evaluation strategies. Aldowah's impactful research operates at the intersection of Computer Science and educational technology.

Asst. Prof. Gabriel E. Casiño Tagoloan Community College, Philippines

Gabriel E.Casiñois the Program Head of the BSIT program and an Assistant Professor at Tagoloan Community College (TCC) in Misamis Oriental, Philippines, where he has served since 2012. He is also an ICT ConsultantinseveralindustriesinthePhilippines.Healso servesas apart-tme Lecturer at some Universites and Colleges in Mindanao, Philippines.Currently pursuing a Ph.D.in Informaton Technology at the University of San Carlos, he holdsaMaster’s degreein InformatonTechnologyfrom Liceo de Cagayan University and aBachelor’sdegreefrom TCC. His research focuses on informaton systems, educatonal technology, and intelligent systems development.He has published in internatonal journals and regularly joins natonal conferences bythe Department of Informaton and Communicaton Technology and the Commissionon Higher Educatonin the Philippines, with interests in cloud computng and expert systems. His work bridges educaton, research, and technology to support digital innovaton in Philippine higher educaton.

Prof. Zhijie Xu Head, Department of Computing (CPT) School of Advanced Technology Xi’an Jiaotong-Liverpool University, China

Dr. Zhijie Xu has been serving as the Head of the Department of Computing and Professor at Xi’an Jiaotong-Liverpool University since September 2024. He previously held the position of Tenured Professor at the University of Huddersfield’s School of Computing and Engineering, where he was also the Director of the Centre for Visual and Immersive Computing and the Director of the Graduate School. Since beginning his teaching career in 1999, he has supervised 18 PhD students and completed more than twenty academic and engineering projects. Dr. Xu’s primary research interests include computer graphics and imaging, visual systems, digital twins, edge computing, and information visualization technologies. Since 1996, he has published over 200 papers, authored 5 books, and held 11 patents. Dr. Xu has served as the Chairman of the Chinese Automation and Computing Society in the UK and is an editorial board member and invited reviewer for numerous academic journals. He is also a senior member of several prestigious academic organizations, such as IEEE, IET, BCS, and HEA. In addition, he led the 2018 Ministry of Education Chunhui Plan UK Expert Group to China and served as an expert judge for the Manchester area of the Chunhui Cup Chinese Exchange Students Entrepreneurship Competition from 2017 to 2019. Through long-term scientific research cooperation with universities in China, he was selected for the Sichuan Province Thousand Talents Plan in 2017 and received the Second Prize of Sichuan Province Science and Technology Progress Award in 2021.