Senior Lecturer in Engineering Design
Dr 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. He has been leading a few research grants in the areas of artificial intelligence, high-performance computing, robotics and autonomous systems, and studies in multi-disciplinary contexts.
Dr Chen 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 AAAI, AIAA, and ASME, a fellow of HEA, a fellow of IMechE and a fellow of IET. He is also a Chartered Engineer.
Dr Chen has published over 100 academic papers in both high impact international academic journal and international conferences, 20+ invited seminars and talks, 10+ authorised patents, and has been selected as a Publons’ top 1% of reviewers in Computer Science and Engineering and Book manuscripts reviewer for Publishers, including: Springer, Elsevier, IEEE, Cambridge University Press, CRC Press. 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, SAFEA: High-End Foreign Experts Project, and Industrial funding bodies. Dr Chen has been the Programme Committee member or organiser for over 10+ international conferences, including IEEE/ASME/ACM/Springer conferences. For example, as of the co-organiser 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 of a high-impact journal (CAS JCR Q2) , and he has been a guest editor for five special issues. Dr Chen has graduated 4 PhD and 30+ MSc research students, is supervising 2 PhD students, and has examined over 30+ PhD/MSc students’ theses as both internal and external examiner.
Research Interests
Associate Editorship
Editor and Editorial Board Member
Guest Editorship
Sensors (IF: 3.275, ISSN 1424-8220, JCR Q3), Special Issue “Sensors and Autonomous Systems in Smart Cities” (30/Nov/2021) https://www.mdpi.com/journal/sensors/special_issues/Systems_Sensors
Inventions(ISSN 2411-5134), Special Issue “AI-Enhanced Innovation for Products and Systems in the Era of Industry 4.0” (30/Sep/2020) https://www.mdpi.com/journal/inventions/special_issues/AI_industry
IEEE Access, Uncertainty Quantification in Robotic Applications (01/May/2020)
https://ieeeaccess.ieee.org/special-sections/uncertainty-quantification-in-robotic-applications/
Professional Activities
| IET Mentor | Professional Review Interviewer |
The CIAD Book
Yi Chen, Yun Li, (2018), Computational Intelligence Assisted Design (In the Era of Industry 4.0), CRC Press (ISBN 978-1-4987-6066-9) https://www.crcpress.com/Computational-Intelligence-Assisted-Design-In-the-Era-of-Industry-40/Chen-Li/p/book/9781498760669
CIAD Book Test Functions MATLAB Codes:
(1) IEEE Code Ocean
https://codeocean.com/2018/09/11/computational-intelligence-assisted-design-lpar-ciad-rpar-in-the-era-of-industry-4-0-book-matlab-codes-colon-test-functions/code
(2) Github https://github.com/i4AILAB/2018-Computational-Intelligence-Assisted-Design-In-the-Era-of-Industry-4.0-CRC-Press.git
(3) Mathworks https://ww2.mathworks.cn/matlabcentral/fileexchange/68483-ciad-book-test-functions
Teaching
Publications and Links
International Conference and Workshop:
(1) RACI2020: China Scotland ASEAN Robotics & Automation Conference for the Industry 4.0 age
(2) IEEE WCCI2020 Special Session SC29: on Computational Intelligence and Smart Manufacturing (CISM)
(3) IEEE WCCI2020 Special Session SC05: on AI in Reliability Engineering and Applications (AIREA)
(4) IEEE WCCI2020 Special Session SC24: Computational Intelligence-Driven Innovation for Multi-disciplinary Applications in the Era of Industry 4.0 (CI4APP)
(5) Special for IEEE WCCI 2022, Computational Intelligence Enabled Prognostics and Health Management http://dxxy.qzc.edu.cn/2021/1215/c2723a60426/page.psp
Grants
Royal Society International Exchanges Scheme – Cost Share Programme 2021-2022
Price discovery and market making activities in cryptocurrency markets: An artificial intelligence perspective, Chaire Fintech, AMF-Finance Montréal, 2021
Invited Seminars or Talks
on Youtube: https://www.youtube.com/watch?v=X7GBYghn6E0&list=PLQbrGIdhp3aFF8VCzrHiNFVvl5G-2lRuU&index=5&ab_channel=NationalCentreforEnergySystemsIntegration
Download 01 - Introduction to AI (EN) https://github.com/LeoYiChen/Introduction2AI-EN-202010/blob/main/00-Intro2AI-course%20info-NCL-20201021.pdf
01 - Introduction to AI (中文 CN) https://github.com/LeoYiChen/Introduction2AI-CN-202010/blob/main/01-introduction-20201022.pdf
02 - Introduction to Industry 4.0
https://github.com/LeoYiChen/What-is-Industry-4.0—An-Introduction/blob/master/01-introduction%20to%20i4-20200606.pdf
https://www.thersa.org/fellowship/find-a-fellow/profile/166734
https://leoyichen.github.io/
About:
The vision of Ci4AI is to develop an Industry 4.0 Innovation and Intelligent Design Platform, and apply it to local, national and international industrial practice to benefit economic development. The vision is to set an international research agenda in AI for design and manufacture in the ‘Fourth Industrial Revolution’ for societal wellbeing and humanity.
Industry 4.0 (i4) stands for the fourth, and the first a-priori engineered, ‘Industrial (R)evolution’, which aims at upgrading the entire manufacturing value chain, and transforming the factory floor to a ‘mass innovation center’. All trends of i4 have in common the integration of several features as a response to challenges of computerized decision making and big data, which are proliferated via the Internet and cloud computing and has led to a global race in intelligent design, innovation, and creativity. Even though, i4 research and development so far is mostly spearheaded by manufacturers, such as Siemens, and thus lacks an academic perspective and an ‘intelligent design’ tool commensurate with such a race. Clearly, ‘market informatics’ should be used to close the loop of i4 in customized smart manufacturing and smart products through life.
The Ci4AI focuses on critical insight into transforming the conventional computer aided design (CAD) to computationl intelligence aided design (CIAD) and its enabling tool artificial and computational intelligence, which aims to facilitate i4 with smarter and faster responses, lower costs, better fitting to customer needs and wants, and an alternative towards on-demand production. The centre will utilize artificial evolution and virtual reality to achieve manufacture-ready digital prototypes of increased innovation and creativity for enhanced competitiveness.
Research Themes:
Staff:
Researchers:
Andreas Eliades - Low cost extraction of Intelligent Video Analytics from Vehicle Traffic Flows Using Deep Neural Networks
Charlotte McMain - Pharma 4.0 and Oral Solid Dose (OSD) Manufacturing: An exploration of the challenges facing OSD manufacture and how Industry 4.0 enabling technologies can address them
Marcus Walmsley - Research, Design and Analysis of a Dragonfly Inspired Wing for A Micro Air Vehicle
Michael Langli - The Design and Analysis of Insect Inspired Wings for an Inch-Sized Flapping Micro Air Vehicle
Aaron Foster - Assessment of IMO 2020 Sulphur Cap Compliance Solutions
Daniel Bedborough - Design and Development of an Unmanned Surface Vessel
Henry Mules - Researching And Designing A Multi Use Unmanned Surface Research Vessel
Ioannis Livanos - Algorithm for Ship Design Optimization
Spyridon Vlachos - Research on Prognostics and Health Management for Unmanned Surface Vehicles