IEEE MSN 2024 Workshop on 6th Network Meets Intelligent Computations, NMIC 2024

Workshop Organizers:

General Chairs:

Prof. Lei Yang
School of Software Engineering, South China University of Technology, China
Email: sely@scut.edu.cn

Prof. Wei Cai
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
Email: caiwei@cuhk.edu.cn

TPC Chairs:

Dr. Jiaxing Shen
School of Data Science, Lingnan University, Hong Kong, China
Email: jiaxingshen@ln.edu.hk

Dr. Tao Wu
College of Electronic Engineering, National University of Defense Technology, China
Email: wutao20@nudt.edu.cn

Short Biography of Organizers:

Lei Yang (Member, IEEE) received B.S. degree in electronic engineering from Wuhan University in 2007, M.S. degree in computer science from Institute of Computing Technology, Chinese Academy of Sciences in 2010, and the PhD degree in computer science on May, 2014. He is a Professor at School of Software Engineering, South China University of Technology (SCUT). His research interests are cloud and edge computing, distributed machine learning and Internet of Things. He has published over 70 papers in major international journals and conference proceedings including IEEE TMC, IEEE TC, IEEE TPDS, IEEE TSC, IEEE TCC, ACM TKDD and IEEE INFOCOM. He is directing several research and development projects from both government and industry agencies such National Natural Science Foundation of China (NSFC), Guangdong Basic and Applied Basic Research Foundation and Tencent. He has won 2018 Ministry of Education Higher Education Outstanding Scientific Research Output Awards - Natural Science Award (Second Class), and 2020 IEEE TCCLD Research Innovation Award (Team award).

 

Wei Cai (Senior Member, IEEE, Member, ACM) received his Ph.D., M.Sc. and B.Eng. from The University of British Columbia (UBC), Seoul National University and Xiamen University in 2016, 2011 and 2008, respectively. He is an Assistant Professor of Computer Engineering in the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen. He currently serves as the Director of the Human-Crypto Society Laboratory and the CUHK(SZ)-White Matrix Joint Metaverse Laboratory. Dr. Cai has co-authored more than 100 journal/conference papers and received 6 best paper awards in the areas of decentralized systems and interactive multimedia. His recent research interests focus on human factors in the metaverse, including Web3, blockchain, digital game, human-computer interaction, social computing, DeFi/GameFi, UGC/AIGC, and computational art. Dr. Cai is an associate editor for ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), IEEE Transactions on Computational Social Systems (TCSS), IEEE Transactions on Cloud Computing (TCC) and IEEE Spectrum (Chinese Version), as well as a guest editor for many leading journals, including ACM TOMM, IEEE Multimedia, TNSE, TCSS. He is currently serving as a TPC Co-Chair for ACM NOSSDAV'23 and an Area Chair for ACM MM'23.

 

Jiaxing Shen (Member, IEEE, Member, ACM) is an Assistant Professor with the Department of Computing and Decision Sciences at Lingnan University. He received the B.E. degree in Software Engineering from Jilin University in 2014, and the Ph.D. degree in Computer Science from the Hong Kong Polytechnic University in 2019. He was a visiting scholar at the Media Lab, Massachusetts Institute of Technology in 2017. His current research theme is Human Dynamics which aims to understand human behavior and provide actionable insights via cross-disciplinary approaches. Under the theme, his research interests include mobile computing, data mining, and IoT. His research has been published in top-tier journals such as IEEE TMC, ACM TOIS, ACM IMWUT, and IEEE TKDE. He was awarded conference best paper twice including one from IEEE INFOCOM 2020.

 

Tao Wu received the PhD degree in computer science and engineering from the Army Engineering University of PLA.He is an Associate Professor at College of Electronic Engineering, National University of Defense Technology (NUDT), China. He has been selected as the "Hong Kong Scholar" Program and working as a postdoctoral fellow at the Department of Computing, The Hong Kong Polytechnic University since 2021. His research interests are Internet of Things, UAV networking, edge computing and federated learning. His research papers have been published in many prestigious journals and conferences such as IEEE TMC, IEEE TON, IEEE TNNLS, ACM TOSN, IoT Journal, IEEE INFOCOM, IEEE IWQoS. He is directing several research and development projects from both government and military, such as National Natural Science Foundation of China (NSFC). He has won the 2020 Excellent Doctoral Thesis Award of ACM China, Nanjing Branch and the Best Paper Award of the IEEE International Conference on Space-Air-Ground Computing (IEEE SAGC 2021).

 

A Brief Description of Workshop:

       The NMIC workshop 2024 solicits the papers that address the technical challenges and applications of the distributed computations for networking, the intelligent computations supported by the novel networking technologies, and the enforcement of series of computations.

Planned Format of the workshop:

        The workshop will be presented in the forms of keynotes and technical sessions. As follows are the detailed plan.

        Duration of the workshop: Half-Day

        Tentative Schedule:
        08:00-09:00 am: NMIC - Keynote;
        09:00-10:20 am: NMIC - Technical Session 1;
        10:20-10:40 pm: Coffee Break;
        10:40-12:00 pm: NMIC - Technical Session 2;

        Number of referred papers: 10-15

        Hot Topic Sessions:
        NMIC - Keynote;
        NMIC - Technical Session 1;
        NMIC - Technical Session 2;

        Keynotes: To be determined

Technical Program Committee Members:

        Hui Cheng, University of Hertfordshire, U.K.

        Long Cheng, North China Electric Power University, China

        Jianguo Wang, Purdue University, U.S.

        Pan Zhou, Huazhong University of Science and Technology, China

        Wanyu Lin, The Hong Kong Polytechnic University, Hong Kong

        Xiaohua Xu, University of Science and Technology, China

        Yang Wang, Shenzhen Institute of Advanced Technology, CAS, China

        Zongjian He, The University of Auckland, New Zealand

        Qiang He, Huazhong University of Science and Technology, China

        Mingjin Zhang, The Hong Kong Polytechnic University, Hong Kong

        Jiaxing Shen, Lingnan University, Hong Kong

        Tao Wu, National University of Defense Technology, China

        Tianhui Meng, Beijing Normal University, China

        Chao Ma, Wuhan University, China

        Junbo Wang, Sun Yat-Sen University, China

A Preliminary Call for Papers:

        The new computation technologies, such as big data analytics, modern machine learning technology, artificial intelligence (AI), blockchain, and security processing, have the great potential to be embedded into network to enable it to be intelligent and trustworthy. On the other hand, Information-Centric Networking (ICN), software-defined network (SDN), network function virtualization (NFV), network slicing, and data center network have emerged as the novel networking paradigms for fast and efficient delivering and retrieving data. Against this backdrop, there is a strong trend to move the computations from the cloud to not only the edges but also the resource-sufficient networking nodes, which triggers the convergence between the emerging networking concepts and the new computation technologies.

        The ultimate goals for networking researches include intelligence, trust, and efficiency, which can be enhanced by or benefit for the intelligent computations. There are many open challenges for the emerging network concepts to meet the intelligent computations: what computations should be embedded; which node should be enforced with the computation; how can the computations, such as big data analytics, security, AI, machine learning, blockchain, be seamlessly embedded into the network and enable it to be efficient, trustworthy and accountable; how to fast locate the required and suitable computation nodes; how to efficiently transfer data through series of computation nodes; how to efficiently collect and process the big networking data; how to design networking architectures and protocols to easily support the efficient and diverse computations; how to achieve ultra-low latency communications with distributed computations; and how to migrate from the Internet to the computation-enabled network.

        The NMIC workshop 2022 solicits the papers that address the technical challenges and applications of the distributed computations for networking, the intelligent computations supported by the novel networking technologies, and the enforcement of series of computations. We envision that the combination of computations with networking will provide more effective computation support for applications and enable the network to be more intelligent, trustworthy, and efficient. The areas of interests include, but are not limited to, the following:

        Intelligent Computation for Networking

          o Networking architecture and protocols for integrating caching, computation, and
             communications

          o Machine learning, data mining and big data analytics for networking

          o Collection and processing for big network data

          o Security, privacy, trust, accountability for/with intelligent computation networking

          o Integrating Blockchain with networking

          o In-network data computations for network measurement and management

        Networking and Distributed Computing for Intelligent Applications

          o In-network computation for future networks, inter-data center networking and 5G

          o Cooperative task scheduling and resource management for edge computing

          o Distributed machine learning on cloud/edges

          o Information-centric networking with/for computations

          o Distributed computations for network anomaly detection and security

          o Network function virtualization, software-defined network, and network slicing for distributed
             computations

          o Intelligent Internet edge integrating edge, fog, and mobile edge computing with networking

          o Distributed artificial intelligence with/for networking

          o Networking computations for big data, streaming, IoT, and AR/VR

          o Big data networking in healthcare, V2V, smart cities, industry and other applications

          o Intelligent service function/computation chaining

        Networked Intelligent Applications

          o Blockchain-driven Intelligent Applications

          o Cloud/Edge/Fog based Intelligent Applications

          o Metaverse based Intelligent Applications

          o Emerging Networked Intelligent Applications

          o User Experience in Networked Intelligent Applications

          o Data Modelling for Networked Intelligent Applications

Paper Submission Guidelines:

        All submissions should follow the IEEE 8.5″ x 11″ Two-Column Format. Each submission can have up to 6 pages. Authors of accepted papers are expected to present their papers at the workshop. All the papers are submitted via EasyChair.

Important dates:

• Sep. 20, 2024

  Paper Submission Deadline

• Oct. 20, 2024

  Paper Acceptance Notification

• Oct. 30, 2024

  Camera-Ready Due

• Dec. 20-22, 2024

  Conference Date