Shanghai , China
October 14-15, 2022
The 2nd International Conference on Networking Systems of AI (INSAI2022) will be held in Shanghai, China during October 14-15, 2022.
INSAI2022 is a premier international academic conference organized by Institute on Networking Systems of AI (INSAI), Fudan University, Hainan University and University of Toronto. INSAI2022 will provide a forum for researchers, engineers and industry experts to discuss recent developments, new ideas and breakthroughs in Networking Systems of Artificial Intelligence. Topics of interest include B5G Physical Communications and Networks, Polymorphic Networks and Configurability, Heterogenous Micro and Nano Electronics for IMCSC, AI Empowered Smart Services and Applications, Ubiquitous Brain Networks. This conference also provides an opportunity to interact and establish professional relations for future collaboration.READ MORE >>
Kostas Plataniotis：Professor, Department of Electrical & Computer Engineering, University of Toronto, Canada.
Research field：Artificial intelligence; Human-computer Interaction; Signal processing; Communications systems.
Jiangchuan (JC) LIU：Professor, School of Computing Science Simon Fraser University, Canada, Fellow of Canadian Academy of Engineering, Fellow of IEEE, NSERC E.W.R. Steacie Memorial Fellow.
Research field：Networking and multimedia systems and applications, in particular, Multimedia content processing and communications; Internet architecture and protocols; Wireless mobile networking; Cloud and edge computing; Online gaming and social networking; Internet of Things/RFID/backscatter.
Petros Spachos：Associate Professor, School of Engineering, University of Guelph, Canada.
Research field：Mobile systems; the Internet of Things (IoT).
Research field：Stochastic optimization algorithms; Swarm intelligence; Soft-computing and optimization and modeling; Artificial intelligence; Machine learning; Image processing; Cloud and distributed computing.
Research field：Computer vision; Image/Video processing; Human computer interaction; Wi-Fi signal processing; EGG signal processing; Machine/Deep learning; Multimodal systems; Pattern recognition; Event/Action/Affect recognition; Action; Scene understanding; Body language and face expression interpretation; Robotics (UAVs, AUVs, ROVs, Humanoids).
Professor, IEEE Senior Member, Department of Computer Science and Engineering, Institute of Technology, Nirma University, India.
Research field：blockchain technology; wireless sensor networks; fog computing; smart grid; and the IoT.
Jinsong Wu：Professor, IEEE Senior Member, Guilin University of Electronic Technology, China and University of Chile, Chile.
Research field：Green Information and Communication Technology; Big Data; Internet of Things; Edge Computing.
Anand Nayyar：Assistant Professor, IEEE/ACM Senior Member, Duy Tan University, Vietnam.
Research field：Wireless Sensor Networks; IoT, Swarm Intelligence; Cloud Computing; Artificial Intelligence; Drones; Blockchain; Cyber Security; Network Simulation and Wireless Communications.
Jun Zhao：Assistant Professor, Nanyang Technological University (NTU), Singapore.
Research field：Wireless communications & networks; Edge computing; Security & privacy; Federated/reinforcement learning; and Metaverse.
Freddy Gabbay：Dean of Engineering Faculty of Engineering, Ruppin Academic Center; Associate Research Fellow, Technion – Israel Institute of Technology, Israel.
Research field：AI and Machine Learning; VLSI and Chip design; Computer architecture; Domain specific accelerators.
Xiaolu Hou：Assistant Professor, Slovak University of Technology, Slovakia.
Research field：Hardware security and cryptography; Fault injection and side-channel attacks; Neural network security.
Mark J. Jackson：Professor, Kansas State University, USA.
Research field：Condensed Matter Physics; Physics and Chemistry of Solids; Tribology of Machining; Mechanical Engineering; Naval Architecture.
Md Zia Uddin：Senior Research Scientist, Sustainable Communication Technologies Department, INTEF Digital, Norway.
Research field：Data & feature analysis from various sources (sensors and others); Physical/mental healthcare; Human machine/computer/robot interaction; Pattern recognition; Deep learning; Artificial intelligence etc.
INSAI2022 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another's work without acknowledging him/her or passing another's work off as his/her own are not tolerated and not published.
All authors submitting their works to INSAI2022 for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works.
Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of each accepted submission. INSAI2022 guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from the publication if malpractice is revealed at any time even after the publication. Every case of suspected plagiarism or duplicate publishing will be reported.
Last date for full paper submission:
August 15, 2022August 31, 2022
Last date for paper acceptance:
September 15, 2022
Last date for registration:
September 30, 2022
October 14-15, 2022
Conference Secretary: Ms. Huo