Computational Intelligence-Driven Innovation for Multi-disciplinary Applications in the Era of Industry 4.0 (CI4APP)
Reflecting the most innovative activities in current businesses, design and creativity are essential to the world’s economy and manufacturing industries. A rising demand for intelligent design systems has been seen in the increased requirements of customisation, flexibility, efficiency, responsiveness, and cost-effectiveness of products and their manufacturing. These requirements become more urgent in the international race to the next “industrial revolution”, as highlighted by the “Industry 4.0” initiative. The latter aim to upgrade the entire manufacturing value chain through turning the factory floor into an innovation centre capable of mass customisation and high flexibility. According to research by consultancy.uk, “Industry 4.0” is to add EUR140b p.a. to European revenue. However, it is the designer, rather than the manufacturer that will profit most from innovation in this added-value upgrade.
The aim of this special session is to understand and advance current state-of-the-field and elicit a roadmap on where the research is heading, highlight key challenges and opportunities and discuss possible solutions. It solicits state-of-the-art review and original articles that support and stimulate continuing efforts to advance research and development of computational intelligence-based approaches for multi-disciplinary optimisations and field applications.
The special issue is open to theoretical, numerical, and experimental contributions that describe original research results, innovative concepts that address all aspects of intelligent design, multi-objective approaches, Industry 4.0, Computational Intelligence (CI) approaches and application of results in multi-disciplinary areas ranging from design and creativity, to smart city services including finance, healthcare, transportation, robotics and automation, etc.
Potential topics include, but are not limited to:
Robotics and Autonomous Systems Group, Department of Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow G1 1XJ, Email: email@example.com
Dr Erfu Yang is a Lecturer under Strathclyde Chancellor’s Fellowship Scheme. His main research interests include robotics, autonomous systems, computer vision, image/signal processing, mechatronics, data analytics, manufacturing automation, multi-objective optimizations, and applications of machine learning and artificial intelligence including multi-agent reinforcement learning, fuzzy logic, neural networks, bio-inspired algorithms, and cognitive computation, etc. He has over 120 publications in these areas, including more than 65 journal papers and 10 book chapters. He received the Best Paper Award at the 2019 UK EPSRC Robotics & Autonomous Network (UKRAS) Conference on Embedded Intelligence. He has been awarded over 18 research grants as PI (principal investigator) or CI (co-investigator). He is the Fellow of the UK Higher Education Academy, committee member of the Chinese Automation and Computing Society in the UK (CACSUK), and the IET SCOTLAND Manufacturing Technical Network. Dr Yang has been a Scientific/Technical Programme Committee member or organizer for a series of international conferences and workshops. He has also served for many international journals and conferences as a scientific reviewer. He was a Literature Surveyor for the leading International Journal of Adaptive Control and Signal Processing (published by Wiley). He is now an associate editor for the Cognitive Computation journal published by Springer. He was also the guest editor of the International Journal of Automation and Computing for its Special Issue on Emergent Control and Computing Techniques for Industrial Applications.
School of Mechanical Engineering, Chongqing University of Technology, No. 69, Hong Guang Road, Banan District, Chongqing, China. Email: firstname.lastname@example.org
Jun Ding received the B.Sc degree in Automotive Engineering from Chongqing University of Technology, in 2000, the M. Sc degree in Solid Mechanics from Chongqing University, in 2004, and the Ph. D. degree in Mechanical Engineering from Chonnam University, South Korea, in 2009. Now he is a full professor at the school of Mechanical Engineering in Chongqing University of Technology. His research areas cover Kinematic and Dynamics in Robotics, Robotics and Autonomous Systems, Multiscale Numerical Simulation Technology, Deep Learning and Big Data, and Multi-objective Optimisation for Design and Manufacturing. Dr Ding has also published over 60 journal papers and presided over 10 projects including 2 NSFC (China). Besides, he is an editorial board member, and he has been a guest editor for three special issues.
4)Chenguang An Huadian Yuntong Power Technology Co.,ltd, Beijing, 100069, China. email@example.com
Chenguang An received the B.Sc degree in Electronic Information Science and Technology from Central South University in 2005, the M.Sc degree in Physical Electronics in 2008. He has devoted himself to research the Smart Grid technology and application. He had developed the transformer on line monitoring equipment, the on line monitoring device unified platform system in 1000kV sub-station. Besides, he had conducted the research the wireless recognize the readings of traditional mechanical meter through AI method which had been put into operation in more than 10 substations. He is the leader of combine the AI technical with the high voltage substation monitoring which make up new generation smart substation especially in 1000kV AC substation and ±800kV DC converter station. He is a member of IET and he is Charted Engineer. He had published more than 10 papers and own 8 patent for innovation and 20 utility models. He is the Chief Manager of Market Strategy Department and an enterprise mentor for master student of Central South University.
SINO-U.S. College, Beijing Institute of Technology (Zhuhai), Zhuhai, 519088, China. firstname.lastname@example.org
Guangfeng Zhang received PhD in International Finance from University of Glasgow, and MSc degrees in Computer Science and Econometrics from the University of Hull and University of Southampton. He worked as a Marie Curie research fellow at Aix-Marseille University (France) and held research and teaching positions. His primary research interests center around modelling exchange rate economics at three time horizons and econometric and artificial intelligence (AI) modelling, involving both macroeconomic fundamental analysis and microstructure approaches to exchange rates. He participated in and led developing cross-disciplinary research projects internationally including research projects of the Economic and Social Research Council (ESRC) and the European Commission (EC). He edited books of energy economics and exchange rates economics and published research papers in peer reviewed journals.
School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom. email@example.com
Leo Chen (M’10-SM’17) received the B.Sc degree in Automotive Engineering from Chongqing University of Technology, in 2000, the M.Sc. degree in Automotive Engineering from Chongqing University, in 2004, and the Ph.D. degrees in Mechanical Engineering from University of Glasgow, in 2010. He has been taking a leading role in the previous and current department to maintain cross-disciplinary research links, and develop external research collaborations both nationally and internationally. Also, he has been leading a few research grants in the areas of artificial intelligence, high-performance computing, robotics and autonomous systems, and also studies in multi-disciplinary contexts. He has a high-level output of research publications in leading international journals and presentations at international conferences, which related to the research area of robotics, digital manufacturing, and industry 4.0, which demonstrates significant research and grant potential in engineering and cross-disciplinary applications. He is a member of IET, AAAI, AIAA, and ASME, a fellow of HEA, and a fellow of IMechE. He is also a Chartered Engineer. Dr Chen has published over 100 academic papers in both high impact international academic journal and international conferences and has been selected as a Publons’ top 1% of reviewers in Computer Science and Engineering. He has been actively involved in both academic research and KTP projects as PI and CoI funded by EPSRC (UK), Horizon2020 (EU), NSFC (China), National Key Research and Development Program of China and Industrial funding bodies. One of the co-organisers of the WCCI’16 Special Session on Computational Intelligence for Industry 4.0 and CEC’19 Special Session on Evolutionary Computation for Creativity, Manufacture and Engineering Management in the Industry 4.0 Era. Besides, he is an editorial board member, and he has been a guest editor for five special issues.
School of Computing Edinburgh Napier University, Edinburgh, UK. A.Hussain@napier.ac.uk
Amir Hussain received his B.Eng (highest 1st Class Honours with distinction) and Ph.D degrees, from the University of Strathclyde, Glasgow, U.K., in 1992 and 1997, respectively. Following postdoctoral and academic positions at the Universities of West of Scotland (Postdoctoral Fellow: 1996-98), Dundee (Research Lecturer: 1998-2000) and Stirling (Lecturer: 2000-4; Senior Lecturer: 2004-8; Reader: 2008-12; Professor: 2012-2018) respectively, he joined Edinburgh Napier University (in Scotland, UK) in 2018 as Professor and founding Head of the Data Science and Cyber Analytics (DSCA) Research Group (managing over 20 academics and research staff). As part of the latter, he is also founding Head of the Cognitive Big Data and Cybersecurity (CogBiD) Research Lab.
Professor Hussain’s research interests are cross-disciplinary and industry-led, aimed at developing cognitive data science and AI technologies, to engineer the smart and secure systems of tomorrow. He has (co)authored three international patents and over 400 publications, including 150+ international journal papers, 20 Books/monographs and 100+ Book chapters with (current Google h-index of 49, i10-index of 142, and 40+ Research Gate score). He has led major (£multi-million) national, EU and internationally funded projects, and supervised over 50 PhD students and postdoctoral researchers to-date. Amongst other international distinctions, he is General chair of the world’s largest AI conference (IEEE WCCI 2020, comprising IJCNN, FEZZ-IEEE and IEEE-CEC, attended by around 2,000 attendees).
30 Jan 2020 Paper Submission Deadline
15 Mar 2020 Paper Acceptance Notification Date
15 April 2020 Final Paper Submission and Early Registration Deadline
19-24 July 2020 IEEE WCCI 2020, Glasgow, Scotland, UK
Submissions to this Special Session should follow the same submission guidelines as other papers of WCCI 2020. For more information, please refer to the WCCI2020 (wcci2020.org).
Go to WCCI2020 submission page: https://wcci2020.org/submissions/
Click on CEC: https://ieee-cis.org/conferences/cec2020/upload.php
Select ** SC24. Computational Intelligence-Driven Innovation for Multi-disciplinary Applications in the Era of Industry 4.0 (CI4APP)**