The Fourth International Workshop on Artificial Intelligence Applications in Internet of Things (AI2OT)

Workshop Organizers:

Xuan Liu, Professor
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
Email: xuan_liu@hnu.edu.cn

Yanchao Zhao, Professor
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing,China
Email:ychao@nuaa.edu.cn

Kele Xu, Associate Professor
College of Computer, National University of Defense Technology, Changsha, China
Email:kelele.xu@gmail.com

Short Biography of Organizers:

Xuan Liu is currently a Professor in the College of Computer Science and Electronic Engineering at Hunan University. She received a BSc degree in information and computing mathematics from Xiangtan University in 2005, the MSc degree in Computer Science from the National University of Defense Technology in 2008, and a PhD degree in the Hong Kong Polytechnic University in 2015, respectively. Her research interests include Multi-agent reinforcement learning, the Internet of Things. She has published more than 70 technique papers in top international journals including JSAC, ToN, TMC, TC, TPDS, and top conferences including Mobihoc, Ubicomp, IJCAI etc.

 

Yanchao Zhao is currently a Professor at the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing. Before that, he received his B.S. and Ph.D. degrees in computer science from Nanjing University, Nanjing, China, in 2007 and 2015, respectively. His current research interests include wireless networks, mobile computing, edge computing, and device-free sensing. He has published 60+ peer-reviewed conference/journal papers, including IEEE INFOCOM, AAAI, IEEE TKDE, TMC etc. The related research is funded by the National Key R&D Program of China, the Natural Science Foundation of China (NSFC), and the Outstanding Youth Fund of Jiangsu Natural Science Foundation. He has served as the organization chair of WASA 2021 and General Chair for the workshop EISIA with ICPADS 2020. He also served as TPC member for numerous of conferences including INFOCOM, ICPADS, Globecom etc.

 

Kele Xu is an Associate Professor at the National University of Defence Technology (NUDT), China. He received his doctoral degree in 2016 from Université Pierre et Marie CURIE (UPMC), Paris, France. He has (co-)authored more than 100 publications in peer-reviewed journals and conference proceedings, including TASLP, TETCI, TAI, TMI, TGRS, TCDS, ICML, AAAI, IJCAI, ASE, ACM MM.

 

Description of the Workshop:

       The rapid development of the Internet of Things (IoTs) has posed many complex problems that are difficult to solve with traditional techniques/algorithms. Recently, the explosive progress in artificial intelligence, especially machine learning, has provided new dimensions to design and develop learning-based solutions for many IoT problems. This workshop provides a forum for academic researchers and industry practitioners to exchange the most recent progress in artificial intelligence applications in the Internet of Things.

       The workshop solicits submissions from areas relating to applications of artificial intelligence algorithms/approaches to solve problems in the IoT area, including AI-driven IoT applications and solutions for all related fields. The interested topics include but are not limited to:

        -- Machine learning-based algorithms/protocol design for IoT

        --Reinforcement learning for IoT

        --Swarm intelligence for IoT and Robotics

        --AI-driven performance optimization for IoT

        --Edge Intelligence

        --Deep Reinforcement Learning for IoT protocol design

        --Deep learning techniques IoT security

        --Intelligence inference in Edge/Fog/Cloud computing and IoT

Publicity plan:

        We will spread the CFP of this work through the TCCC email list, the WifiCFP, and some other websites to catch the attention of as many potential authors as possible. Specially, we will spread the CFP in China by using social network media like QQ group, and WeChat groups.

Potential TPC member list (to be confirmed):

        Yalong Xiao, Central South University, China

        Hui CHENG, University of Leicester, UK

        Haodong Wang, Cleveland State University Cleveland, USA

        Yanling Bu, Nanjing University of Aeronautics and Astronautics

        Bo Ding, National University of Defense Technology, China

        Yingpei Zeng, Hangzhou Dianzi University, China

        Xiaobing Wu, University of Canterbury, New Zealand

        Zhuo Li, Beijing Information Science & Technology University

        Mingming Lu, Central South University, China

        Bin Fu, Hunan University, China

Preliminary CFP:

        The rapid development of the Internet of Things (IoTs) has posed many complex problems that are difficult to solve with traditional techniques/algorithms. Recently, the explosive progress in artificial intelligence, especially machine learning, has provided new dimensions to design and develop learning-based solutions for many IoT problems. This workshop provides a forum for academic researchers and industry practitioners to exchange the most recent progress in artificial intelligence applications in the Internet of Things.

        The workshop solicits submissions from areas relating to applications of artificial intelligence algorithms/approaches to solve problems in the IoT area, including AI-driven IoT applications and solutions for all related fields. The interested topics include but are not limited to:

        -- Machine learning-based algorithms/protocol design for IoT

        --Reinforcement learning for IoT

        --Swarm intelligence for IoT and Robotics

        --AI-driven performance optimization for IoT

        --Edge Intelligence

        --Deep Reinforcement Learning for IoT protocol design

        --Deep learning techniques IoT security

        --Intelligence inference in Edge/Fog/Cloud computing and IoT

Submit instructions:

        Submitted manuscripts must be prepared according to IEEE Computer Society Proceedings Format (double column, 10pt font, letter paper) and submitted in PDF file format. The paper should be submitted through EasyChair. The manuscript should be no longer than 6 pages and at least 4 pages. Submitted manuscripts must not contain previously published material or be under consideration for publication in another conference or journal.

        Accepted papers will be included in the conference proceedings and published in the IEEE Xplore digital library (indexed by EI). At least one author of any accepted paper must register and present the paper at the conference.

Important dates:

• Sep. 17, 2024

  Paper Submission

• Oct. 15, 2024

  Author Notification

• Oct. 25, 2024

  Camera-ready

• Dec. 20-22, 2024

  Conference Date