ICNGN 2022

Hangzhou, China | December 16 to 17,2022

Welcome you to 2022 the International Conference on Intelligent Computing and Next Generation Networks (ICNGN2022). We regret that we are unable to meet in Hangzhou, China as planned due to the long impact of COVID-19 and the exit and entry, quarantine policies. But it is glad to see ICNGN virtual conference also brought you an unforgettable and meaningful experience.

We are also pleased to have submissions and supports from a wide spectrum of academic institutions and universities; it has really been a difficult task to select the most representative papers. The evaluation of all the papers was performed based on the reports of anonymous reviewers, who are qualified within the related fields.

And we still have a great line-up of keynote & invited speakers including:
Prof. Yingxu Wang from University of Calgary, Canada
Prof. Ljiljana Trajkovic from Simon Fraser University, Canada
Prof. Sanjay Ranka from University of Florida, USA
Dr. Yutao Yue from JITRI Institute of Deep Perception Technology, China
Prof. Yanfeng Jiang form Jiangnan University, China
Prof. Jan Treur form Vrije Universiteit Amsterdam, Netherlands
Prof. Xiaodong Liu form Edinburgh Napier University, UK
Prof. Huiyu Zhou form School of Computing and Mathematical Sciences, University of Leicester, UK

Appreciated so much for their contributions and willing to share their new research developments in ICNGN.

ICNGN 2022 has been held on virtual on Dec. 17, 2022 successfully.
For more information about ICNGN 2022, please click here.


Prof. Yingxu Wang

University of Calgary, Canada

Dr. Yingxu Wang is professor of cognitive informatics, brain science, software science, and denotational mathematics. He is the founding President of International Institute of Cognitive Informatics and Cognitive Computing (ICIC). He is a Fellow of ICIC, a Fellow of WIF (UK), a P.Eng. of Canada, and a Senior Member of IEEE and ACM. He has been visiting professor (on sabbatical leaves) at Oxford University (1995), Stanford University (2008 | 2016), UC Berkeley (2008), and MIT (2012), respectively. He has been a full professor since 1994. He is the founder and steering committee chair of the annual IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC) since 2002. He is founding Editor-in-Chiefs of International Journal of Cognitive Informatics & Natural Intelligence; International Journal of Software Science & Computational Intelligence; Journal of Advanced Mathematics & Applications; and Journal of Mathematical & Computational Methods, as well as Associate Editor of IEEE Trans. on SMC - Systems. He has served as chair or co-chair of 19 IEEE or other int’l conferences and a member of IEEE Selection Committee for Senior Members in 2011. Dr. Wang’s publications have been cited for 30,000+ times according to Google Scholar. According to Research Gate statistics, his research profile has reached top 2.5 per cent worldwide, top one to 10 (timely vary in the range) at the University of Calgary, and the most read work in neural networks. He is the recipient of dozens international awards on academic leadership, outstanding contributions, best papers, and teaching in the last three decades.
Title: Towards the Pinnacle of Cognitive AI (CAI) beyond Pretrained and Preprogramed Technologies

Prof. Ljiljana Trajkovic

Simon Fraser University, Canada

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. She served as IEEE Division X Delegate/Director and President of the IEEE Systems, Man, and Cybernetics Society and the IEEE Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the IEEE Open Journal of Systems Engineering. She is a Distinguished Lecturer of the IEEE Circuits and System Society and the IEEE Systems, Man, and Cybernetics Society. Dr. Trajkovic is a Professional Member of IEEE-HKN and a Life Fellow of the IEEE.
Title: Machine Learning for Detecting Ransomware Attacks

Prof. Sanjay Ranka

University of Florida, USA

Sanjay Ranka is a Distinguished Professor in the Department of Computer Information Science and Engineering at University of Florida. His current research is on developing algorithms and software using Machine Learning, Internet of Things, GPU Computing and Cloud Computing for solving applications in Transportation and Health Care. He is a fellow of the IEEE, AAAS, and AIAA (Asia-Pacific Artificial Intelligence Association) and a past member of IFIP Committee on System Modeling and Optimization. He was awarded the 2020 Research Impact Award from IEEE Technical Committee on Cloud Computing. He was also awarded the 2022 Distinguished Alumnus Award from Indian Institute of Technology, Kanpur. His research is currently funded by NIH, NSF, USDOT, DOE and FDOT. From 1999-2002, as the Chief Technology Officer and co-founder of Paramark (Sunnyvale, CA), he conceptualized and developed a machine learning based real-time optimization service called PILOT for optimizing marketing and advertising campaigns. Paramark was recognized by VentureWire/Technologic Partners as a Top 100 Internet technology company in 2001 and 2002 and was acquired in 2002.
Title: Artificial Intelligence and Machine Learning for Smart Transportation Infrastructure

Dr. Yutao Yue

JITRI Institute of Deep Perception Technology, China

Dr. Yutao Yue received his Bachelor's degree of applied physics from University of Science and Technology of China, master and PhD degrees of computational physics from Purdue University of USA. He then served as team leader of Guangdong “Zhujiang Plan” 3rd Introduced Innovation Scientific Research Team, senior scientist and Chief Human Resources Officer of Shenzhen Kuang-Chi Group, etc. His research interest include computational modeling and artificial intelligence, radar vision fusion, electromagnetic fields, etc. He has been engaged in frontier technology research and development and industrialization for 20 years.
Title: The Cause of Causal Emergence: Redistribution of Uncertainty and Modeling of Intelligence

Prof. Yanfeng Jiang

Jiangnan University, China

Professor Yanfeng Jiang received his undergraduate degree in 1993 from the Department of Electronic Engineering, Southeast University, and Ph.D. degree of Microelectronics and Solid-electronics from Lanzhou University in 2000, a postdoctoral fellow in the Key Laboratory of MEMS, Ministry of Education, Southeast University from 2000 to 2002. An Associate Professor and a Professor at North China University of Technology from 2002 to 2010, and a Research Fellow a Department of Electrical and Computer Engineering at the University of Minnesota System from 2010 to 2016. Now, he is a Professor at School of Internet of Things Engineering, Jiangnan University. Prof. Jiang Chaired more than 10 national and provincial scientific research projects, including the general program of National Natural Science Foundation of China, Beijing Science and Technology Program, etc., won more than 10 provincial and ministerial level scientific and technological achievements awards, published more than 200 papers, other-citation more than 2000 times.
Title: Voltage-Controlled Magnetic Tunnel Junctions enabled Low-Power Feature Extractor

Prof. Jan Treur

Dr. Sophie C.F. Hendrikse (co-speaker with Prof. Jan Treur)

Vrije Universiteit Amsterdam, Netherlands

Jan Treur has been a full professor of AI since 1990 and is a well-recognized expert in the area of multidisciplinary human-like AI modeling. He has published over 700 well-cited papers about cognitive, affective, and social modeling and AI systems making use of such models. He has also supervised more than 40 Ph.D. students in these areas and from 2016 written and edited three books on (adaptive) network-oriented AI modeling and its application in various other disciplines. Current research addresses the modeling of higher-order adaptive processes by a self-modeling network modeling approach introduced in his Springer Nature 2020 book. A specific recent focus is on mental processes based on internal mental models and their use by internal simulation, their learning, and the control over them, which was described in his 2022 book edited together with Laila van Ments. A related focus is on the development and use of shared mental models supporting safety in organizations such as hospitals. For this focus, a new Springer Nature book about computational modeling of multilevel organizational learning edited by him, Gülay Canbaloğlu, and Anna Wiewiora is in preparation and will come out beginning of 2023. Another recent focus is on modeling how in social interactions interpersonal synchrony emerges and how this leads to adaptive interaction behaviour.
Sophie Hendrikseholds a position as researcher at the Clinical Psychology department at Vrije Universiteit Amsterdam and as a guest researcher at the Methodology and Statistics unit within the Psychology institute at Leiden University. She was educated through a research master in Social and Behavioral Sciences and a master in Computer Science with a specialization in Artificial Intelligence and Data Science. Her research focuses on multimodal social interaction of humans and/or artificial agents. She has developed multi-adaptive agent models to capture intrapersonal synchrony, interpersonal synchrony and adaptive social behaviors based on human-human interactions research. These agent models can be used both in agent-agent interactions and human-agent interactions. In a Springer Nature book that will come out in 2023 this will be discussed in detail. She has also been involved in the development of a brain-computer interface and studies algorithms to analyze interpersonal synchrony. For more details, see https://www.researchgate.net/profile/Jan-Treur/research
Title:On Emerging Patterns in Social Interaction and their Related Adaptive Mental Processes: an Agent-Based Adaptive Network Modeling Perspective

Prof. Xiaodong Liu

Edinburgh Napier University, UK

Prof. Xiaodong Liu has been very active in the research in AI-driven software engineering, focusing on pervasive systems (Internet of Things), service-oriented architecture, evolution of cloud services, and intelligence-driven smart systems. He has won 12 external grants and successfully led or leading these externally funded projects with the role of principal investigator. Currently Prof Liu leads the Intelligence-Driven Software Engineering Research Group. He is the founder a spin out company, FlexiCAGE Ltd. He has published 160 papers in refereed international journals and conferences and 5 book chapters. He is the inventor of 1 patent in Generative Component Adaptation registered in UK, USA and at International Level (PCT). He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the associate editor of 2 international journals and the editorial board member of 3 international journals. He is the chief editor of 3 IGI Global Research Handbooks. He is the regular reviewer of other 6 international journals. He is a senior member of IEEE Computer Society, and a member of British Computer Society.
Title:Challenges in the Next Generation IoT and Context-Active Resilience in Cyber Physical Systems

Prof. Huiyu Zhou

School of Computing and Mathematical Sciences, University of Leicester, UK

Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 400 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.
Title:Transforming healthcare with artificial intelligence

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