History
History
CEII 2022
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
CEII2022
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.
