| Keynote Speaker | |
| Prof. XinXu IEEE Senior Member Vice Dean of School of Computer Science and Technology Wuhan University of Science and Technology, China BIO: Xin Xu is the Xiangtao Distinguished Professor with the School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China. He received the B.S. and Ph.D. degrees in computer science and engineering from Shanghai Jiao Tong University, Shanghai, China. He was a postdoctoral fellow in Shanghai Jiao Tong University. His research deals with image processing, computer vision, and deep learning. More specifically, his research areas focus on building a hierarchical person re-identification architecture including detection and recognition for nighttime surveillance scenarios. He has authored over 150 papers, including top-tier journals and conference proceedings, as well as the cover paper of the journal International Journal of Intelligent Systems and the Best Paper Finalist of the IEEE International Conference on Multimedia and Expo (ICME). Speech Title: Abstract: |
| Prof. Thippa Reddy Gadekallu IEEE Senior Member Zhejiang A&F University, China BIO: Thippa Reddy Gadekallu is currenty working as a professor at The College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China, as well as Chief Engineer at Zhongda Group, Haiyan County, Jiaxing City, Zhejiang Province, China, 314312. He has obtained his Bachelors in Computer Science and Engineering from Nagarjuna University, India, in the year 2003, Masters in Computer Science and Engineering from Anna University, Chennai, Tamil Nadu, India in the year 2011 and his Ph.D in Vellore Institute of Technology, Vellore, Tamil Nadu, India in the year 2017. He has more than 15 years of experience in teaching. He has more than 300 international/national publications in reputed journals and conferences. Currently, his areas of research include Machine Learning, Internet of Things, Deep Neural Networks, Blockchain, Computer Vision. He is an editor in several publishers like Springer, Hindawi, Plosone, Scientific Reports (Nature), Wiley. He also acted as a guest editor in several reputed publishers like IEEE, Elsevier, Springer, Hindawi, MDPI. He is recently recognized as one among the top 2% scientists in the world as per the survey conducted by Elsevier in the years 2021, 2022, 2023, 2024. He is also recognized as a highly cited researcher, young scientist category, by Clarivate (web of Science) for the period 2017-2022 in the year 2023. Speech Title: Abstract: |
| Prof. Shadiev Rustam IEEE Senior Member Zhejiang University, China BIO: Speech Title: Abstract: |
 | Prof. Bing Shi Vice Dean of School of Computer and Artificial Intelligence Wuhan University of Technology, China BIO: Shi Bing, Ph.D., Professor, and Doctoral Supervisor. Dr. Shi Bing is a member of the IEEE/ACM/CCF. He primarily focuses on research in artificial intelligence and multi-agent systems. He has published over 50 papers at conferences and journals recommended by the Chinese Computer Federation (CCF), led eight national and provincial-level projects, served as a program committee member for the authoritative conference AAMAS2017-2022, and concurrently reviews multiple journals. Speech Title: Economic Driven Resource Allocation and Task Offloading in Edge-Cloud Computing Abstract: In the edge and cloud computing, how to offload the task and make the resource allocation is a key issue. Specifically, as a distributed system, it is difficult to use a centralized method to make the task offloading and resource allocation decision. In this speech, we discuss how to use economic-incentive based methods to make the task offloading and resource decisions in difficult scenarios, such as the edge system with moving users, uav-assisted edge computing systems and so on. |
 | Prof. Hanhua Chen Huazhong University of Science and Technology, China BIO: Hanhua Chen is a Professor and PhD supervisor of Computer Science at Huazhong University of Science and Engineering. His research interest primarily focuses on big data processing and distributed systems. His work has been supported by more than ten projects, including key projects under the National Key R&D Program, the National Natural Science Foundation's Outstanding Youth Science Fund, the Ministry of Education-China Mobile Research Fund, and Huawei technology cooperation projects. He was awarded one of the National Excellent Doctoral Dissertations (2012) and the Second Prize of the National Science and Technology Progress Award (2015). His research results have been published in over 80 papers in international conferences such as SIGMOD, VLDB, ICDE, SC, WWW, RTSS, INFOCOM, ICNP, ICDCS, IPDPS, IWQoS, ICPP, and IEEE Transactions (TC, TPDS, TKDE, TMC, TBD, TSC). Speech Title: Research on Key Technologies for Efficient Big Data Stream Processing Systems Abstract: With the development of cloud computing, mobile internet, and the Internet of Things, modern big data application systems continuously and rapidly generate streaming big data. The significant characteristics of streaming big data, such as real-time processing, skewness, dynamism, and multi-sourcing, pose severe challenges to the timeliness of big data stream processing systems. Enhancing the performance of processing systems to meet actual system requirements has become a fundamental issue in the field of big data. This report will focus on the research progress in high-timeliness big data processing systems. |
 | Prof. Jincai Chen Huazhong University of Science and Technology, China BIO: Prof. Chen Jincai, received his doctor degree from Xi'an Jiaotong University in 2000, majoring in computer architecture. From 2001 to 2003, he was engaged in postdoctoral research in the National Laboratory of Storage Systems, Huazhong University of Science and Technology. During 2011-2012, he was a visiting researcher of the University of California, Santa Cruz, USA. His main research directions are: storage theory and technology, big data, machine learning, image processing and affective computing. He has taken charge of 4 projects of the National Natural Science Foundation of China, participated in 1 "973" project and 4 "863"projects, published more than 100 papers, and authorized more than 30 invention patents (including 2 international invention patents). Speech Title: Abstract: |
 | Prof. Xu Du IEEE Senior Member Central China Normal University, China BIO: Prof. Xu Du has presided over dozens of national, provincial and ministerial scientific research projects including the National 863 Program, National Support Program, National Development and Reform Commission Key Program, Ministry of Science and Technology innovation Pilot Project, National Natural Science Foundation, Hubei Natural Science Foundation key project, Ministry of Education Information Technology Special Project, etc. He won the first prize of the Hubei Provincial Higher Education Teaching Achievement Award, published more than one hundred papers, and authorized dozens of invention patents. Speech Title: Promote collaborative problem solving with GAI supporting Abstract: With the rapid development of large model-based Artificial Intelligence, AI is moving towards a more comprehensive and human-like intelligence, which will have an unprecedented and far-reaching impact on all walks of life, and will also bring unprecedented opportunities and challenges to education. This talk takes Collaborative Problem Solving (CPS) scenario as an example to share the research journey and gains from multi-modal data-driven CPS practice and exploration to AGI-supported CPS practice and exploration. |