The world is material, and matter is in motion; the moving material world is precisely described using spatiotemporal information as a carrier. In today's era of the Internet of Everything and artificial intelligence, the acquisition, processing, information extraction, and knowledge mining of spatiotemporal data need to become intelligent, giving rise to Spatiotemporal Intelligence Science. This discipline utilizes intelligent sensors in communication, navigation, and remote sensing, along with cloud computing and artificial intelligence methods, to perceive and understand natural and human activities, supporting intelligent decision-making. It represents a new stage in the development of surveying, remote sensing, and geographic information science and is an important component of artificial intelligence. Spatiotemporal Intelligence Science can automatically answer questions of when, where, what object, what change, and why, promoting coordinated and sustainable development between humans and nature. It is also a crucial part of service science, intelligently delivering the correct data, information, and knowledge needed by the right person at the right place and right time. The surveying and geographic information industry should seize this historical opportunity to promote the leap from traditional surveying to Spatiotemporal Intelligence Science, and promote the integration of spatiotemporal intelligence across sky, space, earth, and sea—encompassing communication, navigation, and remote sensing—as a powerful tool for enriching the nation, strengthening the military, and benefiting the people in the new era.

Professor at Wuhan University, Academician of both the Chinese Academy of Sciences and the Chinese Academy of Engineering, with a Ph.D. from the University of Stuttgart, Germany. He currently serves as the Honorary Director of the Academic Committee at the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing at Wuhan University and as the Director of the Collaborative Innovation Center for Geospatial Information Technology. He is a renowned international expert in surveying and remote sensing, one of the pioneers of China's high-precision, high-resolution Earth observation systems. In 2023, he received the National Highest Science and Technology Award. He was awarded an honorary doctorate by ETH Zurich in 2008 and recognized as an "Honorary Member," the highest distinction by the International Society for Photogrammetry and Remote Sensing, in 2012.

Foundational models such as GPT, LLaMA, and DALL-E have been transformative in the field of AI, demonstrating extraordinary versatility across a wide range of tasks. However, the full potential of edge computing (with its inherent advantages in cost, latency, and privacy) remains untapped in deploying these models. In this talk, we unveil the concept of edge-native foundational models, an innovative approach to leveraging distributed, diverse, and collaborative edge computing resources. We envision a future where foundational models will be conceived, cultivated, and utilized in the edge ecosystem.

Song Guo is a Chair Professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST in 2023, he was a Professor at The Hong Kong Polytechnic University. He also holds a Changjiang Chair Professorship awarded by the Ministry of Education of China.

His research interests are mainly in edge AI, 6G, big data and machine learning, mobile computing, and distributed systems. As a Highly Cited Researcher (Clarivate Web of Science), he published many papers in top venues with wide impact in these areas and received over a dozen Best Paper Awards from IEEE/ACM conferences, journals and technical committees. He is also the recipient of 2024 Edward J. McCluskey Technical Achievement Award, Gold Medal in 2023 Geneva Inventions Expo, Gold Award in 2023 AsiaWorld-Expo, and Intellectual Property Ambassador Award in 2020 Hong Kong Social Enterprise Competition.

Prof. Guo is a world-renowned leader who made fundamental and pioneering contributions to the development of novel edge intelligence architectures, algorithms, and systems over ubiquitous mobile, IoT, and wearable devices. His work on edge AI, cloud-edge computing, and resilient computing has created significant impact from generation of new scientific knowledge to creation of innovative technologies, as featured widely in prominent public media. He is a Fellow of the Canadian Academy of Engineering (FCAE), Member of Academia Europaea (MAE), Fellow of the IEEE (FIEEE), Distinguished Member of the ACM, and Fellow of the Asia-Pacific Artificial Intelligence Association (FAAIA).

Prof. Guo was an IEEE Communications Society (ComSoc) Distinguished Lecturer, a member of IEEE ComSoc Board of Governors, and the Chair of IEEE ComSoc Space and Satellite Communications Technical Committee. He has served on IEEE Fellow Evaluation Committee for both ComSoc and Computer Society. He is the founding and current Editor-in-Chief of IEEE Open Journal of the Computer Society and a member of Steering Committee of IEEE TCC. Prof. Guo has been named on editorial board of a number of prestigious international journals like IEEE TC, IEEE TPDS, IEEE TCC, IEEE TETC, IEEE TSUSC, ACM Computing Surveys, etc. He has also served as chair of organizing and technical committees of numerous IEEE/ACM conferences, workshops and symposia. He delivered more than 100 keynote addresses. He has served on RGC engineering panel and been frequently invited for various national and international grant/award reviews. He is the Secretary General of China Computer Federation (CCF) Hong Kong.

The growing number of Internet of Things (IoT) devices are being deployed to enable users to work and live in a more efficient and convenient manner. And the applications expected to be widely adopted in 6G such as autonomous driving, smart healthcare, metaverse, and Industry 4.0 have driven the IoT towards intellectualization. To realize the smart IoT requires a series of 6G technologies to overcome existing limitations and improve the performance in the application plane, data plane, and perception plane. In this talk, I will first give some future prospects of smart IoT as well as the existing challenges in three planes. Then, I will introduce how 6G technologies can support different smart IoT applications in terms of communications, computations, energy, and intelligence. Moreover, the security and privacy issues which has been raising increasing concern will be talked. Some research works and analysis results will be also shared to inspire more creative ideas.

Nei Kato is a full professor and the Dean with Graduate School of Information Sciences(GSIS) and was the Director(2015-2019) of Research Organization of Electrical Communication(ROEC) and the Strategic Adviser(2013) to the President, Tohoku University. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, UAV networks, smart grid, AI, IoT, Big Data, and pattern recognition. He has published more than 500 papers in prestigious peer-reviewed journals and conferences(Google Scholar citation 28000, h-index 87). He is the Editor-in-Chief of IEEE Internet of Things Journal, the Fellow Committee Chair of IEEE Vehicular Technology Society, Chair of IEEE Communications Society Sendai Chapter, and the Area Editor of IEEE Transactions on Wireless Communications. He served as the Vice-President (Membership & Global Activities) of IEEE Communications Society(2018-2021), the Editor-in-Chief of IEEE Network Magazine (2015-2017), the Editor-in-Chief of IEEE Transactions on Vehicular Technology(2017-2021), a Member-at-Large on the Board of Governors, IEEE Communications Society(2014-2016), a Vice Chair of Fellow Committee of IEEE Computer Society(2016), and a member of IEEE Communications Society Award Committee (2015-2017). He has also served as the Chair of Satellite and Space Communications Technical Committee (2010-2012) and Internet of Things, Ad Hoc and Sensor Networks Technical Committee (2014-2015) of IEEE Communications Society. His awards include Minoru Ishida Foundation Research Encouragement Prize(2003), Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society, Satellite and Space Communications Technical Committee(2005), the FUNAI information Science Award(2007), the TELCOM System Technology Award from Foundation for Electrical Communications Diffusion(2008), the IEICE Network System Research Award(2009), the IEICE Satellite Communications Research Award(2011), the KDDI Foundation Excellent Research Award(2012), IEICE Communications Society Distinguished Service Award(2012), IEICE Communications Society Best Paper Award(2012), Distinguished Contributions to Disaster-resilient Networks R&D Award from Ministry of Internal Affairs and Communications, Japan(2014), Outstanding Service and Leadership Recognition Award 2016 from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairs and Communications, Japan (2016), IEEE Communications Society Asia-Pacific Outstanding Paper Award(2017 and 2019), Prize for Science and Technology from the Minister of Education, Culture, Sports, Science and Technology, Japan(2018), Award from Tohoku Bureau of Telecommunications, Ministry of Internal Affairs and Communications, Japan(2018), IEEE Transactions on Computers 2018 Best Paper Award, IEEE Communications Society Green Communications and Computing Technical Committee Distinguished Technical Achievement Recognition Award(2019), Clarivate Analytics Highly Cited Researchers(2019,2020,2021,2022,2023), IEEE Vehicular Technology Society Outstanding Service Award(2022), IEEE Vehicular Technology Society The Stuart F. Meyer Memorial Award(2023), and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a Fellow of The Engineering Academy of Japan, Fellow of IEEE, and Fellow of IEICE.

In recent years, the booming of the bike sharing system (BSS) has played an important role in offering a convenient means of public transport. The BSS is also viewed as a solution to the first/last mile connection issue in urban cities. The BSS can be classified into dock and dock-less. However, due to imbalance in bike usage over spatial and temporal domains, stations in the BSS may exhibit overflow (full stations) or underflow (empty stations). In this talk, we will take a holistic view of the BSS design by examining the following four components: (1) system design, (2) system prediction, (3) system balancing, and (4) trip advisor. We will focus on system balancing, addressing the issue of overflow/underflow. We will look at two main methods of bike rebalancing: with trucks and with workers. Discussion on the other three components that are related to system balancing will also be given. Specifically, we will study various algorithmic solutions with the availability of data in spacial and temporal domains. Finally, we will discuss several key challenges and opportunities of the BSS design and applications as well as the future of dock and dock-less BSS in a bigger setting of the transportation system.

Jie Wu is Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing (CNC). He served as Chair of the Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and Associate Vice Provost for International Affairs from the fall of 2015 to the summer of 2017. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University, where he received his Ph.D. in 1989. His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, applied machine learning, and cloud computing. Dr. Wu regularly published in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Service Computing and Journal of Computer Science and Technology. Dr. Wu is/was general chair/co-chair for IEEE DCOSS’09, IEEE ICDCS’13, ICPP’16, IEEE CNS’16, WiOpt’21, ICDCN’22, IEEE IPDPS'23, ACM MobiHoc'23, and IEEE CCGrid 2024 as well as program chair/cochair for IEEE MASS’04, IEEE INFORCOM’11, CCF CNCC’13, and ICCCN’20. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award. He is a Member of the Academia Europaea (MAE). Dr. Wu is currently on leave working at China Telecom as a Scientist in Cloud Computing.