Artificial intelligence in industrial applications (VSI-aiia)

  in Special Issue   Posted on May 7, 2020

Information for the Special Issue

Special Issue Call for Papers:


With the rapid development of industrial technology and information technology, the processing by artificial intelligence (AI) enables industrial production to reach a higher level of automation. This is because AI has the ability of learning and identifying manufacturing defects using machine learning. It can control, monitor, and predict the state of the manufacturing equipment through the production data. On this basis, industrial production can rely on AI to achieve advanced intelligent requirements. As a branch of computer science and technology, AI is expected to meet the processing requirements industrial big data and decision-making. It has the advantages of high efficiency, good accuracy, and wide industrial applications.

The aim of this special section is to focus on the latest advances of artificial intelligence in industrial applications. AI is impacting industrial productions and our way of life beyond our imagination. Various countries all over the world have launched national AI initiatives, highlighting the significance and necessity of AI in smart industries. But at the same time, practical issues of AI in solving real-time industrial applications cannot be ignored.


Suggested topics include:

  • Intelligent decision-making in industries
  • Process of production in industrial big data
  • Prediction of state in manufacturing
  • Defect detection of industrial products
  • On-site monitoring in Internet of Things


Submission Guidelines:

Unpublished manuscripts, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are completely re-written or substantially extended (more than 50%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue.

Before submission, authors should carefully read the Guide for Authors available at

Authors should submit their papers through the journal’s web submission tool at by selecting “VSI-aiia” from the “Issues” pull-down menu during the submission process. For additional questions, contact the Main Guest Editor.


Guest Editors:

Prof Shiqian Wu (point of contact)

School of Information Science and Engineering, Wuhan University of Science and Technology, China.


Dr Shiqian Wu received the B.Eng. and M.Eng. degrees from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 1985 and 1988, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2001. He is currently a Professor with the Institute of Robotics and Intelligent Systems, School of Information Science and Engineering, Wuhan University of Science and Technology, Director, Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial Systems, Wuhan, China.

He was an Assistant Professor, Lecturer, and an Associate Professor at HUST from 1988 to 1997. From 2000 to 2014, he was a Research Fellow then Research Scientist with the Agency for Science, Technology and Research (A-STAR), Singapore. He has authored/co-authored two books and more than 200 scientific publications (book chapters, journal/conference papers). Two papers were recognized as top 25 hottest articles in Oct. ~ Dec. 2005 and Apr. ~ Jun. 2009 by Patt. Recog. Lett. and J. Visual Communication & Image Representation respectively. One paper was recognized as top 50 most frequently downloaded paper by IEEE Trans. Image Processing. Google citations are more than 5000. The H-index is 25. He was listed as Most Cited Chinese Researchers (computer science) in 2014~2018 by Elsevier. His research interests include Computer vision, pattern recognition, video surveillance, intelligent robotics and computational intelligence.


Prof Simon Fong

Department of Computer and Information Science, University of Macau. Email:


Dr. Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 432 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier (I.F. 3.5), IEEE IT Professional Magazine, (I.F. 1.661) and various special issues of SCIE-indexed journals. Simon is also an active researcher with leading positions such as Vice-chair of IEEE Computational Intelligence Society (CIS) Task Force on “Business Intelligence & Knowledge Management”, and Vice-director of International Consortium for Optimization and Modelling in Science and Industry (iCOMSI).


Prof Dhanjoo N. Ghista

University 2020 Foundation,

San Jose, California, , USA



Professor Dhanjoo Ghista has an international standing in education and research, having set up programs and departments at universities in responsible academic-administrative positions (from Department Head to CAO/Provost), and has been involved in planning universities. He has a multi-disciplinary background, spanning science and engineering, medicine and health sciences, social sciences, management, governance and public administration, and STEM education. He is a pioneer in the fields of biomedical engineering, computational medicine, healthcare engineering and management, governance and economy, and urban-rural sustainable community development, and is committed to the advancement of rural communities and developing countries.

Dr. Ghista has a sterling scholarly record of having published 500+ papers and 30 books. His research involvements and publications have been in science and engineering, biomedical engineering, medicine, cognitive science and therapy, social sciences, sports science, education, sustainable communities, and the role of university in society. His books have been in biomedical engineering and physics, physiological mechanics, cardiovascular physics and engineering, orthopedic biomechanics, medical and life physics, spinal injury biomedical engineering, socio-economic democracy and world government. He has served on national research grants review panels, and has been editor of journals and book series (with publishers). Throughout his academic career, he has obtained substantial research grants, served on national agencies for research promotion, and contributed to community development.

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