Keynote Speakers
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Prof. Yunhao Liu
ACM Fellow, IEEE Fellow Tsinghua University, China |
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Abstract: We have passed the period of Digital-Follow-up, and now we are in Digital Twin, and trying to enter Digital-lead-off of Industrial Internet of Things. I will share lessons learned from our recent implementations of AIOT systems in oil refinery and glass factories in Middle East, United States, and China.
Bio: Yunhao Liu ACM Fellow, IEEE Fellow, Chair Professor at Tsinghua University. He also served as the Dean of School of Software in Tsinghua, and the MSU Foundation Professor and the Chairperson of Department of Computer Science and Engineering in Michigan State University. Yunhao received his B.S. degree in the Department of Automation at Tsinghua University, and an M.A. degree at Beijing Foreign Studies University, China. He received an M.S. and a Ph.D. degree in Computer Science and Engineering at Michigan State University, USA. Yunhao received Hong Kong ICT Best Innovation and Research Award Grand Prize 2007, China Ministry of Education First Class Natural Science Award 2010, Second Class National Natural Science Award 2011, ACM Presidential Award 2013, CCF Wang Xuan Award 2022, CCF First Class Natural Science Award 2024, CIE First Class Natural Science Award 2024 as well as many best paper awards including ACM MobiCom 2014 best paper award, ACM SenSys 2021 Best Paper Award, and SIGCOMM 2021 Best Student Paper Award.
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Prof. Chao Lu
OSA Fellow The Hong Kong Polytechnic University, China |
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Abstract: In recent decades, a comprehensive network of land-based and underwater optical communication fibers has been established to meet the global demand for connectivity. Lately, there has been increasing interest in using this existing infrastructure for environmental sensing to monitor changes in the physical environment. This interest is fueled by two primary factors: the widespread geographic coverage of optical communication fibers and their high sensitivity to optical detection, which together offer a range of previously unattainable sensing capabilities. These capabilities include the development of extensive networks for monitoring seismic activity, transportation systems, and more. Additionally, integrating sensing functions can greatly improve the reliability of the current optical network. Since a single optical fiber link can transmit hundreds of terabits or even petabits of data per second, any disruption can result in significant data loss. Many such disruptions are caused by unauthorized digging, wind, and other factors. Early detection of these disturbances can enable preventative measures to reduce data loss. In this presentation, we will explore recent advancements in combining optical communication and sensing technologies and discuss some application examples.
Bio: Chao LU obtained his BEng in Electronic Engineering from Tsinghua University, China in 1985, and his MSc and PhD from University of Manchester in 1987 and 1990 respectively. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University(NTU), Singapore as a faculty member in 1991 and was there until 2006. From June 2002 to December 2005, he was seconded to the Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore, as Program Director and Department Manager leading a research group in the area of optical communication and fibre devices. He joined the Hong Kong Polytechnic University in 2006 and is currently Chair Professor of Fibre Optics and director of the Photonics Research Institute there. His research interests are in the area of high capacity transmission techniques for long haul and short reach systems and distributed optical sensing systems. In addition to academic research work, he has had many industrial collaborative research projects and has a number of awarded patents. His current research interests are in the area of high capacity transmission techniques for long haul and short reach systems and distributed optical sensing systems. He is a fellow of the Optical Society(OSA).
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Prof. Dusit Niyato
IEEE Fellow, IET Fellow Nanyang Technological University, Singapore |
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Abstract: The evolution of generative artificial intelligence (GenAI) has driven revolutionary applications like ChatGPT. The proliferation of these applications is underpinned by the mixture of experts (MoE), which contains multiple experts and selectively engages them for each task to lower operation costs while maintaining performance. Despite MoE's efficiencies, GenAI still faces challenges in resource utilization when deployed on local user devices. Therefore, we first propose mobile edge networks supported MoE-based GenAI. Rigorously, we review the MoE from traditional AI and GenAI perspectives, scrutinizing its structure, principles, and applications. Next, we present a new framework for using MoE for GenAI services in Metaverse to revolutionize content creation and interaction in the Metaverse. Specifically, we harness an MoE model's ability to efficiently manage complex data and complex tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GAI. We then present a novel framework that improves video content generation quality and consistency, and demonstrate its application through case studies. Our findings underscore the efficacy of MoE and GAI integration to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse's full potential.
Bio: Dusit Niyato is currently a President's Chair Professor in the College of Computing & Data Science (CCDS), Nanyang Technological University, Singapore. Dusit's research interests are in the areas of mobile generative AI, edge intelligence, quantum computing and networking, and incentive mechanism design. Currently, Dusit is serving as Editor-in-Chief of IEEE Transactions on Network Science and Engineering (TNSE). He is also an area editor of IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology (TVT), topical editor of IEEE Internet of Things Journal (IoTJ), lead series editor of IEEE Communications Magazine, and associate editor of IEEE Transactions on Wireless Communications (TWC), IEEE Transactions on Communications, and other ComSoc magazines. Dusit is the Members-at-Large to the Board of Governors of IEEE Communications Society for 2024-2026. He was named the 2017-2024 highly cited researcher in computer science. He is a Fellow of IEEE and a Fellow of IET.
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Prof. MengChu Zhou
Fellow of IEEE, IFAC, AAAS, CAA and NAI New Jersey Institute of Technology, USA |
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Abstract: This talk introduces how multiple unmanned aerial vehicles (UAVs) assist IoT devices in an edge computing system in accomplishing their tasks in an energy-efficient manner. UAVs serve these devices as edge servers, and fly to footholds to collect task data from the latter, execute tasks locally and return results to the latter. The optimization goal is to minimize overall energy consumption by jointly optimizing 1) association between each UAV and ground-based IoT devices, 2) deployments of UAVs, and 3) flight trajectories of UAVs. To achieve this, this talk proposes a Joint Optimization Approach (JOA) for the association between each UAV and ground-based IoT devices, deployment of UAVs, and UAV flight trajectories. It is verified on ten large-scale instances, and the results demonstrate its effectiveness in achieving minimal energy consumption, well outperforming the state-of-the-art methods. As a result, this research makes UAV-assisted large-scale mobile edge computing systems closer to its real applications to advance low-attitude space economic development.
Bio: MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990.He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent automation, robotics, Petri nets, Internet of Things, edge/cloud computing, AI, and big data analytics. He has over 1300 publications including 17 books, over 900 journal papers including over 700 IEEE Transactions papers, 31 patents and 32 book-chapters. He is a recipient of Excellence in Research Prize and Medal from NJIT, Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, and Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society, and Edison Patent Award from the Research & Development Council of New Jersey. He is Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).
Invited Speakers
| Name | Affiliation |
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| Yudong Yao | Stevens Institute of Technology |
| Derick Miller | Stevens Institute of Technology / Nokia |
| Xu Chen | Sun Yat-sen University |
| Yiqing Zhou | Institute of Computing Technology, Chinese Academy of Sciences |
| Jian Song | Tsinghua University |
| Lu Gan | OPPO |
| Marek Galinski | Slovak University of Technology |
| Gordon Ning Liu | Soochow University |
| Wanli Wen | Chongqing University |
| Huiqin Wang | Lanzhou University of Thcnology |
| Xin Li | Beijing University of Posts and Telecommunications |
| Weiwei Jiang | Beijing University of Posts and Telecommunications |
| Zhen Chen | South China University of Technology |
| Jian Wang | Huazhong University of Science and Technology |
| Jianping Li | Guangdong University of Technology |
| Xuran Li | Shandong Normal University |
| Lin Chen | Macao Polytechnic University |
| Fan Li | Sun Yat-sen University |