Keynote Speaker I
Prof. Zuqing Zhu
IEEE Fellow
The University of Science and Technology of China (USTC), China
Keynote Lecture: TBD
Abstract: TBD
Biography: Zuqing Zhu received his Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Davis, in 2007. From 2007 to 2011, he worked in the Service Provider Technology Group of Cisco Systems, San Jose, California, as a Senior Engineer. In January 2011, he joined the University of Science and Technology of China, where he currently is a Full Professor in the School of Information Science and Technology. He has published 360+ papers in peer-reviewed journals and conferences. He is the Steering Committee Chair of the IEEE International Conference on High Performance Switching and Routing (HPSR), and was the Chair of the Technical Committee on Optical Networking (ONTC) in IEEE Communications Society. He has received the Best Paper Awards from ICC 2013, GLOBECOM 2013, ICNC 2014, ICC 2015, and ONDM 2018. He is a Fellow of IEEE. <Learn More>
Keynote Speaker II
Prof. Yifan Chen
University of Electronic Science and Technology of China, China
Keynote Lecture:TBD
Abstract: TBD
Biography: Dr Yifan Chen is a Distinguished Professor in the School of Life Science and Technology, University of Electronic Science and Technology of China. He received the B.Eng. (Hons. I) and Ph.D. degrees in electrical and electronic engineering from Nanyang Technological University, Singapore. He has held various academic and leadership positions in top-tier universities in China, New Zealand, UK, and Singapore across multiple disciplines such as electrical and electronic engineering, biomedical engineering, and computer science and engineering. He is a Fellow of Engineering New Zealand, a Fellow of The Institution of Engineering and Technology, UK, and a Fellow of European Alliance for Innovation. …… <personal webpage>
Keynote Speaker III
Prof. Liang Zhou
IEEE Fellow
Nanjing University of Posts and Telecommunications, China
Keynote Lecture: Cross-Modal Communications: Theories, Technologies, and Applications.
Abstract: TBD
Biography: ZHOU Liang is a professor at Nanjing University of Posts and Telecommunications. His research primarily focuses on multimedia communications and intelligent communications. In recent years, he has published numerous academic papers in journals like IEEE JSAC. He has led key projects funded by the National Natural Science Foundation of China, as well as industry-academia collaboration projects with companies like Huawei and ZTE. Currently, he serves as the Chair of the Multimedia Communications Technical Committee of the IEEE Communications Society, Director of the Professional Committee of the China Institute of Communications, and is an editorial board member for academic journals such as IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Wireless Communications, and IEEE Network. He is an IEEE Fellow/IET Fellow/BCS Fellow. <personal webpage>
Keynote Speaker IV
Prof. Peter Chong
Auckland University of Technology, New Zealand
Keynote Lecture: TBD
Abstract: TBD
Biography: Professor Peter Han Joo Chong is the Associate Head of School (Research) at the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. Between 2016 and 2021, he was the Head of Department of Electrical and Electronic Engineering at AUT. He received the Ph.D. degree in Electrical and Computer Engineering from the University of British Columbia, Canada in 2000. He is currently an Adjunct Professor at the Department of Information Engineering, CUHK. He is an Honorary Professor at Amity University, India. He is a Fellow of the Institution of Engineering and Technology (FIET), UK. Prof. Chong is listed in the World's Top 2% Scientists published by Stanford University in 2022. Prof. Chong received the Research Excellence Award from the Faculty of Design and Creative Technologies in 2023.
Before joining AUT in 2016, Professor Chong was an Associate Professor (tenured) at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore. Between 2013 and 2016, he was the Director of Infinitus, Centre for Infocomm Technology. From 2001 to 2002, he was with the Radio Communications Laboratory at Nokia Research Center, Finland. Between 2000 and 2001, he worked in the Advanced Networks Division at Agilent Technologies Canada Inc., Canada. He co-founded P2 Wireless Technology in Hong Kong in 2009 and Zyetric Technologies in Hong Kong, New Zealand and US in 2017.
His current research projects focus on machine learning techniques applied to vehicular networks. He has been developing techniques of deep reinforcement learning (DRL)-based resource management for 5G-V2X networks. His research interests are in the areas of wireless/mobile communications systems including radio resource management, multiple access, MANETs/VANETs, green radio networks and 5G-V2X networks. He has published over 300 journal and conference papers, 3 edited books and 13 book chapters in the relevant areas.
Keynote Speaker V
Prof. Xiao Han
Sichuan University, China
Keynote Lecture: AI in Pathology: From Self-Supervised Learning to Foundation Models
Abstract: “Artificial intelligence in pathology is a cornerstone for achieving precision medicine, holding significant promise for improving the efficiency and accuracy of pathological diagnosis, predicting disease prognosis, and developing personalized treatment plans. This presentation will systematically review our team's recent progress and achievements in the field of AI in pathology, covering a spectrum of research from self-supervised and weakly-supervised learning methods to the development and clinical application of pathology foundation models. The talk will begin by introducing our explorations in self-supervised learning, including Transformer-based feature extraction and clustering-guided contrastive learning. It will then elaborate on the application of weakly-supervised, multi-instance learning techniques for automated cancer diagnosis and grading. Finally, the presentation will focus on our recent breakthroughs in pathology foundation models and explore their potential for generalized cancer diagnosis, prognostic prediction, and clinical decision support.”
Biography: Professor Xiao Han has long been devoted to advancements in machine learning technology within the medical field, including neuroscience, radiation therapy and computational pathology. Prior to joining Sichuan University, he served as a principal scientist at Tencent AI Lab and deputy general manager of Tencent AI Medical Center, where he led a team of over 30 researchers in medical AI research and product development. Among his key achievements, his team developed the Tencent AIMIS Digital Pathology Platform, which obtained EU CE certification in 2022 and won the Advanced Technology Achievement Award at the 2022 China International Big Data Industry Expo. In collaboration with Mindray Medical, his team developed China’s first AI-assisted peripheral blood cell analysis product – the first AI product in the in vitro diagnostic industry that was granted the “Green Pathway” for innovative medical devices by China NMPA. Professor Han has published over 100 papers in top international journals and leading conferences, with a total of over 12,000 citations (per Google Scholar). For the past five years, he has been consistently included in Stanford University’s list of the world’s top 2% scientists in both the "Career Scientific Impact" and "Annual Scientific Impact" categories. Professor Han holds over 40 granted patents in China and over 30 in the USA. He was awarded the China National Excellence Patent Award in 2022, and two Gold Prizes at Tencent’s Annual Patent Awards in 2022 and 2023 respectively.
Keynote Speaker VI
Prof. Lunchakorn Wuttisittikulkij
Chulalongkorn University, Thailand
Keynote Lecture: The Metaverse Revolution: Transforming Interaction in the Digital Age
Abstract: The evolution of advanced digital technologies is fundamentally reshaping the way we interact, learn, and collaborate. As immersive technologies progress, the metaverse has transitioned from a futuristic vision to a dynamic digital ecosystem with far-reaching implications across academia, industry, and society. By integrating extended reality (XR), artificial intelligence (AI), and advanced signal processing, it creates seamless and intuitive digital interactions. Moving beyond traditional video conferencing and social media, the metaverse enables immersive and interactive communication through avatars, spatial computing, and real-time data integration. The metaverse enhances accessibility, engagement, and innovation in the digital era by incorporating digital twins, AI-powered simulations, and virtual collaborative spaces. This keynote will explore the latest advancements in metaverse technologies, emphasizing their transformative applications in education, research, and cross-border collaboration. A key focus will be MANGOs: Metaverse for Academic Nexus Global Opportunities, a pioneering initiative designed to revolutionize academic collaboration by creating immersive, interactive, and globally connected virtual environments. MANGOs enhance experiential learning, remote teamwork, and knowledge dissemination, paving the way for a more inclusive and dynamic digital education ecosystem in the metaverse. As the metaverse continues to evolve, its role in shaping the future of communication, education, and global collaboration will be pivotal, driving new possibilities for immersive and interconnected digital experiences.
Biography: Lunchakorn Wuttisittikulkij is a Professor in the Department of Electrical Engineering at Chulalongkorn University, Bangkok, Thailand. He received his B.Eng. degree in electrical engineering from Chulalongkorn University in 1990. Pursuing advanced studies abroad, he obtained his M.Sc. and Ph.D. degrees in telecommunications from the University of Essex, U.K., in 1992 and 1997, respectively. During his doctoral studies, he participated in a European Commission-funded project on multiwavelength transport networks (MWTN), where he played a key role in network design and dimensioning. Upon completing his Ph.D., Prof. Lunchakorn joined the Faculty of Engineering at Chulalongkorn University in 1997. Over the years, he has made substantial contributions to both academia and industry, authoring or co-authoring 15 books and publishing over 150 research articles in esteemed journals and conferences worldwide. He has served as General Chair of the 33rd International Technical Conference on Circuits/Systems, Computers and Communications. His research interests span several domains, including wireless communication and networks, the metaverse, and immersive technologies such as extended reality (XR). <personal webpage>
Invites Speaker I
Asst. Prof. Junhan Zhao
University of Chicago, USA
Invited Lecture: AI-driven Phenomics Analysis for Cancer Diagnostics, Prognostics and Therapeutics
Abstract: AI-driven phenomics analysis has revolutionized the field of cancer diagnostics, prognostics, and therapeutics by leveraging advanced algorithms to analyze cellular images such as H&E histology images. In this talk, I will discuss my work to incorperate medical domain knowledge for developing clinical AI, including weakly-supervised, self-supervised learning and foundation model. We will conclude with a discussion on enhancing cancer care through more efficient and effective AI.
Biography: Junhan Zhao is an Assistant Professor in the Department of Pediatrics at the University of Chicago and a visiting scientist at Harvard Medical School and Massachusetts General Hospital. He completed his postdoctoral fellowship at Harvard Medical School, where he specialized in AI-driven digital health. Zhao earned his Ph.D. in computer graphics as a Bilsland Fellowship awardee and served as a lecturer at Purdue University. He completed his engineering training and graduated with distinction from Shanghai Jiao Tong University and Cornell University. He also holds a M.Sc in Biostatistics from Harvard University. Zhao has served as first or senior author on high-impact publications featured in Nature, Nature Comm, Light Science & Applications, Med, and IEEE portfolio (TVCG, TIP, TMI, TIM, TCSVT, JBHI). He led AI development and deployment in early-stage ventures related to AI, wearable devices, stem cell therapy and rejuvenation.
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