Welcome to the 5th Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII 2022)
Hangzhou, China | December 16-17, 2022
The fifth Asian Conference on Cognitive Engineering and Intelligent Interaction was successfully held on December 16-17 virtual. But it is glad to see CEII 2022 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 speakers including:
Prof. Yingxu Wang from University of Calgary, Canada
Prof. Huiyu Zhou form University of Leicester, UK
Prof. Jan Treur form Vrije Universiteit Amsterdam, Netherlands
Dr. Yutao Yue from JITRI Institute of Deep Perception Technology, China
Appreciated so much for their contributions and willing to share their new research developments in CEII.
CEII 2022 has been held on virtual on Dec. 17, 2022 successfully.
KEYNOTE SPEAKERS IN CEII 2022
Prof. Yingxu Wang
University of Calgary, Canada
Fellows of IEEE, BCS, ICIC and WIF; Senior Members of ACM
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.
Speech Title: Towards the Pinnacle of Cognitive AI (CAI) beyond Pretrained and Preprogramed Technologies
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.
Speech title: Transforming healthcare with artificial intelligence
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.
Speech title: On Emerging Patterns in Social Interaction and their Related Adaptive Mental Processes: an Agent-Based Adaptive Network Modeling Perspective
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.
Speech Title: The Cause of Causal Emergence: Redistribution of Uncertainty and Modeling of Intelligence
INVITED SPEAKERS IN
Prof. Francisco Falcone
Public University of Navarra (UPNA), Spain
FRANCISCO FALCONE (Senior Member IEEE) received the degree in telecommunication engineering and the Ph.D. degree in communication engineering from the Universidad Pública de Navarra (UPNA), Spain, in 1999 and 2005, respectivelyFrom 1999 to 2000, he was Microwave Network Engineer, Siemens-Italtel, Málaga. From 2000 to 2008, he was Mobile Access Network Engineer, Telefónica Móviles, in Pamplona. In 2009 he co-founded Tafco Metawireless, spin-off of the UPNA (with EIBT national label), of which he was its first manager. In parallel, from 2003 to 2009 he was Assistant Lecturer in the Department of Electrical and Electronic Engineering, UPNA. In June 2009 he became Associate Professor and since September 2022, Full Professor at the EEC Dept at UPNA. From 2011 to 2012 he was secretary of the Department of Electrical, Electronic and Communication Engineering of UPNA. From January 2012 to July 2018 and from July 2019 to November 2021 he was Head of the Department of Electrical, Electronic and Communication Engineering of the UPNA. In 2018 he was Visiting Professor at Kuwait College of Science and Technology, Kuwait, for three months. He is also affiliated with the Smart Cities Institute of the Public University of Navarra, a multidisciplinary research institute with over 100 researchers, being Head of the Institute since May 2021, working on contextual and interactive environments solutions, through the integration of heterogeneous wireless communications networks, based on HetNet and IoT. Since June 2022, he is Distinguished Visiting Professor in Telecommunications School of Engineering and Science, Tecnologico de Monterrey, Mexico. His research interests are related to computational electromagnetics applied to the analysis of complex electromagnetic scenarios, with a focus on the analysis, design, and implementation of heterogeneous wireless networks to enable context-aware environments. He has over 600 contributions in indexed international journals, book chapters, and conference contributions. He has been awarded several research awards: CST Best Paper Award 2003 and 2005, Prize of the Official Association of Telecommunications Engineers 2005 for the Best Doctoral Thesis, UPNA PhD Award 2004-2006 in Experimental Sciences, 1st Prize Juan López de Peñalver 2010 to the best young researcher, Real Academia de Ingeniería de España, XII Talgo Foundation Award for Technological Innovation with the proposal "Implementation of an Environment for the Railway Ecosystem", ECSA-2 Best Paper Award (2015), Best Paper Award IISA (2015), ECSA Award -3 Best Paper Award (2016), ECSA-4 Best Paper Award (2018), Best Paper Award ISSI (2019) and IIoT 2020 Best Paper Award.
Speech Title: Wireless Connectivity for Smart City Applications
Dr. Iacovos Ioannou
CYENS - Centre of Excellence, Cyprus
Dr. Iacovos Ioannou has twenty years of practical expertise in the IT industry, including analysis, development, installation, and maintenance of IT systems, embrace me with the know-how and the technical skills needed to teach security and network (mobile and wireless) courses at any level. He is an extremely motivated computer scientist. His undergraduate, postgraduate (MSc) and doctoral degrees in computer science have equipped him with a thorough understanding of systems and provided him with the knowledge tools to research them and improve them. More specifically, BSc and MSc degrees in computer science and security have equipped him to know the correct requirements and enforce the right policies in order to meet the security and privacy needs of modern IT systems (University of Cyprus, Computer Science Department, Open University, Information Security). In addition, his PhD armed him with the research abilities and a broad understanding of telecommunication networks, machine learning, and artificial intelligence required for academic work. Currently, his focus is on research, and he works as a researcher at CYENS and the University of Cyprus's Networks Research Laboratory. His research interests include security at mobile and IoT networks, mobile and wireless communications on fifth-generation (5G) and sixth-generation (6G) networks, as well as device-to-device (D2D) communications utilising artificial intelligence and machine learning.
Speech title: Agent-based Distributed AI framework for 5G/6G
Dr. Asimina Mertzani
IMPERIAL COLLEGE LONDON, UK
Asimina Mertzani is a PhD student in the Electrical and Electronic Engineering (EEE) Department of the Imperial College of London. She is a member of the Intelligent Systems and Networks Research Group, and her research interests include distributed information systems, self-organisation, machine learning, knowledge management, supply chain optimisation and sustainability. She has published articles in scientific journals, conference and workshop proceedings in these topics, and currently her main research focus is the application of reinforcement learning techniques for collective decision making. Asimina Mertzani has received her MEng degree in 2019 in Electrical and Electronic Engineering from the National Technical University of Athens, Greece and MSc degree in 2020 in Applied Machine Learning from Imperial College of London, UK. She was awarded with the Maria Petrou Scholarship for PhD studies from the Electrical and Electronic Engineering Department of the Imperial College of London and the prize of the 2nd placed winner of the Research Presentation Contest of the IEEE ACDS Conference 2022. She was also awarded as a member of the winning team of the CREA SUMMER ACADEMY organised by the Politecnico di Milano, Italy, and as the student achieving the highest grade of her school in the national exams from the Greek Ministry of Education, Research and Religious Affairs. Apart from her research accomplishments, Mrs. Mertzani has been working as an Implementation Consultant, focusing on quantitative techniques and software technology for data-driven decision-making, with ORTEC, a leading applied mathematics firm, and as a Machine Learning Specialist, focusing on the development of innovative solutions based on machine learning techniques and the intelligent transformation with Mantis – Ecovium, a company specialised in Warehouse Management and Optimisation.
Dr. Chao Wang
Suzhou University, China
Chao Wang is currently a Lecture at the School of Information Engineering of Suzhou University, China. Meanwhile, he is now a Ph.D. candidate with the Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, China. He successively served as a Research Associate at Nanyang Technological University, Singapore, Jacobs University Bremen, Germany, and Shenzhen Institute of advanced technology, Chinese Academy of Sciences, China from Nov. 2009 to Aug. 2012. From Sept. 2012 to Mar. 2013, he worked as an Engineer in Huawei Technology Co., Ltd. He received a B.S. degree from Anhui University, China, in 2006, and an M.S. degree from the University of Science and Technology of China, in 2009. His research interests are in the area of pattern recognition, deep learning and image processing. He has published over 20 papers in peer-reviewed international journals and conferences in these research areas.
Speech Title: Deep Convolution Neural NetworkBased Research on Recognition ofMine Vehicle Head and Tail
Prof. Fenghua Wu
Shenyang City University, China
Dr. Fenghua Wu is the deputy dean of the School of Intelligence and Engineering of Shenyang City University, and the dean of the Key Laboratory of Humanoid Football Training Robot of Liaoning Province. She received Ph.D. degree in Control Theory and Control Engineering from Northeastern University in China and fulfilled her postdoctoral research from Shenyang Institute of Automation, Chinese Academy of Sciences. She is the Member of Robotics Competition Working Committee of China Association of Automation, the Member of Liaoning Automation Teaching Guidance Committee, the leader of Liaoning Provincial Staff Innovation Studio and the Master's supervisor of Shenyang Jianzhu University. Her research interests including intelligent behavior and optimal motion control of humanoid robot with application, development of intelligent system for full information motion of digital Avatar, etc. .
Speech Title: Research on key technologies of humanoid robot with application
CEII as a workshop in SHAI&IVPAI before 2021
The Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII), initiated in
2018 and held as a workshop in Shanghai AI Submit is an annual international symposium in
the field of cognitive engineering and intelligent interaction. It has been successfully
held for five editions in 2018, 2019,2020, 2021, and 2022. It has been successfully held for
four editions as a workshop in Shanghai AI Submit (SHAI2018). From 2018 to 2022, more than
500 participants had attended the conference and CEII has built itself an international
platform for experts, scholars and industry talents in the field of artificial intelligence,
intelligent robots, cognitive engineering and related fields.