2021 International Workshop on Industry 4.0 and Intelligent Manufacturing
In 2020, an international consortium led by Edinburgh Napier University (ENU), joining by Dongguan University of Technology(DGUT), Guangxi University of Science and Technology(GXUST), National University of Laos (NUoL), University Tun Hussein Onn Malaysia (UTHM), Corvinus University of Budapest (CUoB), Ha Noi University of Industry (HUoI), Chiang Mai University (CMU) and Institute of Engineering and Technology (IET), successfully won the British Council UK-China-BRI Countries Partnership Initiative (https://www.britishcouncil.cn/en/programmes/education/partnership-fund) funding award from 2020 to 2025. The partnership also received a match-fund from Ministry of Education, China.
The project aims to utilise the seed fund from British Council to develop an international research and education network to 1) form a virtual research centre on AI and Robotic for Industry 4.0; 2) conducting a thorough evaluation of the current research capability of the higher education sector in UK, China, ASEAN and Eastern European countries on the Industry 4.0 related studies; 3) develop a generic programme design guideline and template for Industry 4.0 oriented international collaborative programmes.
2021 International Workshop on Industry 4.0 and Intelligent Manufacturing is one the online research orientated workshops hosted and funded by DGUT, and co-organised by the project partner universities.
Prof Paolo Mattavelli
IEEE Fellow, Co-Editors-in-Chief, IEEE Transactions on Power Electronics, University of Padova.
Prof. Paolo Mattavelli (Fellow, IEEE) received the M.S. degree (with hos.) and the Ph.D. degree in electrical engineering from the University of Padova, Padua, Italy, in 1992 and in 1995, respectively.,From 1995 to 2001, he was a Researcher with the University of Padova. From 2001 to 2005, he was an Associate Professor with the University of Udine, Udine, Italy, where he led the Power Electronics Laboratory. In 2005, he joined the University of Padova in Vicenza with the same duties. From 2010 to 2012, he was with the Center for Power Electronics Systems (CPES), Virginia Tech, Blacksburg, VA, USA. He is currently a Professor with the University of Padova. His current Google Scholar h-index is 75. His research interests include analysis, modeling, and analog and digital control of power converters, grid-connected converters for renewable energy systems and microgrids, high-temperature and high-power density power electronics. In these research fields, he has been leading several industrial and government projects.
Prof Vedran Bilas
Associate Editors-in-Chief, IEEE Transactions on Instrumentation and Measurement, University of Zagreb.
Prof. Vedran Bilas, Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. From January 1992 he is working at the Department of Electronic Systems and Information Processing at FER. In June 2010 he was promoted to Full Professor. He participated in 7 scientific projects financed by the Ministry of Science, Education and Sports of the Republic of Croatia, 1 PoC BICRO project, 1 COST project and 2 EU FP7 projects. Currently he is a project leader of research projects: "Enabling Inductive Metal Characterisation in Non-cooperative Soils " financed by the Find a Better Way foundation from United Kingdom and „Enhancing research and development of energy-efficient networked sensor systems“ funded by Swiss National Science Fundation., He published more than 100 papers in journals and conference proceedings in the area of electromagnetic inductive methods, electronic systems for harsh environment and smart sensors and sensor networks.
In view of recent developments in the COVID-19 epidemic, the organizing committee has decided to reduce the size of the live meeting and partly conduct it as a virtual meeting.
Industry 4.0 refers to the fourth industrial revolution or revolutionary production method dominated by intelligent manufacturing. The strategy aims to transform manufacturing to intelligence by making full use of information and communication technology and the combination of virtual system in cyberspace.
Industry 4.0 is the technological transformation and transformation of an industry. The intelligent manufacturing proposed by Industry 4.0 is oriented to the whole life cycle of products and realizes the information manufacturing under the condition of ubiquitous perception. On the basis of modern sensing technology, network technology, automation technology and artificial intelligence, through perception, human-computer interaction, decision-making, implementation and feedback, the product design process, manufacturing process and enterprise management and service intelligence, is the deep integration of information technology and manufacturing technology.
---Essence: It is based on "CPS" to achieve "intelligent co-factory".
---Core:It is the production mode of dynamic configuration to achieve "flexible production".
---Key: It is information technology application realizes productive force to develop at full speed.
The 1st International Conference on Industry 4.0 and Intelligent Manufacturing (IWIIM2021) will be held on September 9, 2021 in Dongguan, Guangdong, China. The conference was supported by China Education Association for International Exchange and British Council. The organizers are Dongguan University Of Technology and Edinburgh Napier University. Dongguan University Of Technology is a financial and technical sponsor.
At the same time, the conference has also been assisted by the National University of Laos, Chiang Mai University of Thailand, Ha Noi University of Technology of Vietnam, Covenus University of Budapest,University Tun Hussein Onn Malaysia, Guangxi University of Science and Technology.
IWIIM2021 provides an excellent forum for scientists, researchers, engineers and industry practitioners around the world to showcase and discuss the latest technological advances in Industry 4.0 and Intelligent Manufacturing as well as future directions and trends.
Call for Paper
Best Paper : Selection of the best paper will be made based on both the technical content and presentation by the Award Committee led by Prof Paolo Mattavelli, Prof Vedran Bilas and Prof Li Chuan .
In addition to the KEYNOTE ADDRESSES, DISTINGUISHED LECTURES on the State-of-the-Art in various tracks of Industry 4.0 and Intelligent Manufacturing will be delivered. Details will be announced.