THE 3rd ARTIFICIAL INTELLIGENCE ON
FASHION AND TEXTILE INTERNATIONAL CONFERENCE
第三届时尚与纺织人工智能国际会议（AIFT 2022）
Industrial Artificial Intelligence
Acad. Tianyou ChaiAcademician of Chinese Academy of Engineering,
IEEE Fellow, IFAC Fellow
Acad. Tianyou Chai
Academician of Chinese Academy of Engineering,
IEEE Fellow, IFAC Fellow
Industrial Artificial Intelligence
Abstract:
In this talk, the necessity of developing industrial artificial intelligence is proposed, by combining the role of industrial automation and information technology in the industrial revolution and the analysis of the current situation of decision-making, control, and operation management in the entire manufacturing and production process as well as the development direction of intelligent development. Then, the concept of industrial artificial intelligence technology is presented through the analysis of the meaning, development history and development direction of artificial intelligence technology, as well as the comparative analysis on the similarity and difference in core objectives, implementation methods, research objects, and research methods of automation and artificial intelligence research and application. Moreover, the directions, ideas and methods of research on industrial artificial intelligence are proposed.
Speaker Bio:
Tianyou Chai received the Ph.D. degree in control theory and engineering in 1985 from Northeastern University, Shenyang, China, where he became a Professor in 1988. He is the founder and Director of the Center of Automation, which became a National Engineering and Technology Research Center and a State Key Laboratory. He is a member of Chinese Academy of Engineering, IFAC Fellow and IEEE Fellow. He has served as director of Department of Information Science of National Natural Science Foundation of China from 2010 to 2018.
Professor Wong is leading the Textile and Apparel Artificial Intelligence (TAAI) Research Group which have been conducting fundamental and applied research on artificial intelligence (AI), computer vision and machine learning, specifically for the fashion and textile industry since 2010. His academic research deliverables have also been patented and successfully licensed to the fashion and textile industry for commercial use. Recently, Professor Wong has collaborated with Alibaba Group to establish the first-of-its-kind “FashionAI Dataset” for enabling machine to better understand fashion, bringing a new horizon to the fashion retail industry through the application of AI. Professor Wong has also successfully developed an intelligent fabric defect detection system, called "WiseEye", which leverages advanced technologies including AI and Deep Learning in the process of quality control in textile industry.
His current research interests include modeling, control, optimization and integrated automation of complex industrial processes.
He has published 260 peer reviewed international journal papers. His paper titled Hybrid intelligent control for optimal operation of shaft furnace roasting process was selected as one of three best papers for the Control Engineering Practice Paper Prize for 2011-2013. He has developed control technologies with applications to various industrial processes. For his contributions, he has won 5 prestigious awards of National Natural Science, National Science and Technology Progress and National Technological Innovation, the 2007 Industry Award for Excellence in Transitional Control Research from IEEE Multiple-conference on Systems and Control, and the 2017 Wook Hyun Kwon Education Award from Asian Control Association.
fAshIon after fashion - Artificial Intelligence and Fashion
Prof. Calvin Wong Cheng Yik Hung Professor in Fashion, The Hong Kong Polytechnic University
Chief Executive Officer, AiDLab
Prof. Calvin Wong
Cheng Yik Hung Professor in Fashion, The Hong Kong Polytechnic University
Chief Executive Officer, AiDLab
fAshIon after fashion - Artificial Intelligence and Fashion
Abstract:
Prof Calvin Wong, Cheng Yik Hung Professor in Fashion of PolyU and Chief Executive Officer of AiDLab, will present the findings from a recent survey he conducted with Dr Aemika Zou, Technical Project Manager of AiDLab on research and application of Artificial Intelligence (AI) in the fashion (fAshIon) field. The survey investigated 521 research papers, 126 companies and startups. This first-of-its-kind survey draws conclusions about the challenges and the opportunities that exist in fAshIon by reviewing the research and applications of fAshIon and their impact, providing researchers and practitioners in the industry with a holistic view of research in related topics and practical applications that will form the basis for future research and development.
As AI evolves, its potential applications to the design, fashion, textiles, and other industries are expected to reach a new level. The Laboratory for Artificial Intelligence in Design (AiDLab) was launched to pioneer the integration of AI and design, aiming at enhancing the design of products and services and creating impacts in both the industries and society. In the talk, Prof. Wong will introduce the research programmes, facilities and activities of the laboratory.
Speaker Bio:
Prof. Calvin Wong is Cheng Yik Hung Professor in Fashion at The Hong Kong Polytechnic University and is currently serving as the Chief Executive Officer of the Laboratory for Artificial Intelligence in Design (AiDLab). His main research focuses on integrating artificial intelligence (AI) with fashion and textiles, particularly in machine vision, pattern recognition and deep learning.
Prof. Wong heads up the Textile and Apparel Artificial Intelligence (TAAI) Research Group at PolyU, which has been conducting both theoretical and applied research in AI for the fashion and textile industry since 2010. Prof. Wong is also the Team Leader of AiDLab’s Intelligent Fashion Design and Quality Control Programme.
Prof. Wong is held in high regard by both academics and industry professionals for research that has made a significant impact on fashion and textile sectors. He was recently selected by “Fashion for Good” to participate, as one of its Ten New Innovators, in the third round of its South Asia Innovation Programme. This honour is in recognition of his award-winning invention WiseEye - an intelligent fabric inspection system for efficient and accurate defect detection in the textile industry. The WiseEye system, which leverages advanced technologies including AI and Deep Learning in the process of quality control in textile industry, won two Grand Awards and a Gold Medal with the Congratulations of the Jury at the 47th International Exhibition of Inventions in Geneva in 2019. That same year, Prof. Wong collaborated with the Alibaba Group to establish the first-of-its-kind “FashionAI Dataset”, which improves the accuracy of online searches for fashion images by enabling machine recognition of key points of apparel and classification of fashion attributes.
Prof. Wong is ranked among the world's top 1% of most-cited scientists in the field of “Artificial intelligence & Image Processing”. Globally, there are currently 215,114 scientists working in this field, and Prof. Wong is in the top 1% according to an index compiled by Stanford University based on the "Updated science-wide author databases of standardised citation indicators". He has published more than 150 research articles in Science Citation Index journals, including the world's leading journals in the AI field, such as IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cybernetics, IEEE Transactions on Image Processing, etc. Essential Science Indicators ranks his two research publications in TNNLS in the top 1% of the most cited articles.
Prof. Wong has authored one and edited three books on the integration of artificial intelligence in the fashion and textile industry, including the first-two-ever on the topics of “Optimizing Decision Making in the Apparel Supply Chain Using AI: From Production to Retailing” and “Applications of Computer Vision in Fashion and Textiles”. He is currently the Associate Editor of Neurocomputing.
In the past ten years, Prof. Wong received six international and regional innovation awards. He is frequently invited to deliver plenary, and keynote presentations at international conferences, including the 91st Textile Institute World Conference 2018 at University of Leeds in United Kingdom, International Conference on Clothing and Textiles 2018 at Yonsei University in Korea, Textile International Forum and Exhibition 2019 in Taiwan, etc. He is a technical programme committee member and track chair of several such conferences. As a leading pioneer in the integration of artificial intelligence with fashion and textiles, he also served as the Chair of the world’s first conference on the integration of fashion and artificial intelligence, the “Artificial Intelligence on Fashion and Textile International Conference 2018” (AIFT), which was co-organised by the Alibaba Group and the UK's Textile Institute.
Acad. Tianyou ChaiAcademician of Chinese Academy of Engineering,
IEEE Fellow, IFAC Fellow
Industrial Artificial Intelligence
Abstract:
In this talk, the necessity of developing industrial artificial intelligence is proposed, by combining the role of industrial automation and information technology in the industrial revolution and the analysis of the current situation of decision-making, control, and operation management in the entire manufacturing and production process as well as the development direction of intelligent development. Then, the concept of industrial artificial intelligence technology is presented through the analysis of the meaning, development history and development direction of artificial intelligence technology, as well as the comparative analysis on the similarity and difference in core objectives, implementation methods, research objects, and research methods of automation and artificial intelligence research and application. Moreover, the directions, ideas and methods of research on industrial artificial intelligence are proposed.
Speaker Bio:
Tianyou Chai received the Ph.D. degree in control theory and engineering in 1985 from Northeastern University, Shenyang, China, where he became a Professor in 1988. He is the founder and Director of the Center of Automation, which became a National Engineering and Technology Research Center and a State Key Laboratory. He is a member of Chinese Academy of Engineering, IFAC Fellow and IEEE Fellow. He has served as director of Department of Information Science of National Natural Science Foundation of China from 2010 to 2018.
His current research interests include modeling, control, optimization and integrated automation of complex industrial processes.
He has published 260 peer reviewed international journal papers. His paper titled Hybrid intelligent control for optimal operation of shaft furnace roasting process was selected as one of three best papers for the Control Engineering Practice Paper Prize for 2011-2013. He has developed control technologies with applications to various industrial processes. For his contributions, he has won 5 prestigious awards of National Natural Science, National Science and Technology Progress and National Technological Innovation, the 2007 Industry Award for Excellence in Transitional Control Research from IEEE Multiple-conference on Systems and Control, and the 2017 Wook Hyun Kwon Education Award from Asian Control Association.
Prof. Calvin Wong Cheng Yik Hung Professor in Fashion, The Hong Kong Polytechnic University
Chief Executive Officer, AiDLab
fAshIon after fashion - Artificial Intelligence and Fashion
Abstract:
Prof Calvin Wong, Cheng Yik Hung Professor in Fashion of PolyU and Chief Executive Officer of AiDLab, will present the findings from a recent survey he conducted with Dr Aemika Zou, Technical Project Manager of AiDLab on research and application of Artificial Intelligence (AI) in the fashion (fAshIon) field. The survey investigated 521 research papers, 126 companies and startups. This first-of-its-kind survey draws conclusions about the challenges and the opportunities that exist in fAshIon by reviewing the research and applications of fAshIon and their impact, providing researchers and practitioners in the industry with a holistic view of research in related topics and practical applications that will form the basis for future research and development.
Speaker Bio:
Prof. Calvin Wong is Cheng Yik Hung Professor in Fashion at The Hong Kong Polytechnic University and is currently serving as the Chief Executive Officer of the Laboratory for Artificial Intelligence in Design (AiDLab). His main research focuses on integrating artificial intelligence (AI) with fashion and textiles, particularly in machine vision, pattern recognition and deep learning.
Prof. Wong heads up the Textile and Apparel Artificial Intelligence (TAAI) Research Group at PolyU, which has been conducting both theoretical and applied research in AI for the fashion and textile industry since 2010. Prof. Wong is also the Team Leader of AiDLab’s Intelligent Fashion Design and Quality Control Programme.
Prof. Wong is held in high regard by both academics and industry professionals for research that has made a significant impact on fashion and textile sectors. He was recently selected by “Fashion for Good” to participate, as one of its Ten New Innovators, in the third round of its South Asia Innovation Programme. This honour is in recognition of his award-winning invention WiseEye - an intelligent fabric inspection system for efficient and accurate defect detection in the textile industry. The WiseEye system, which leverages advanced technologies including AI and Deep Learning in the process of quality control in textile industry, won two Grand Awards and a Gold Medal with the Congratulations of the Jury at the 47th International Exhibition of Inventions in Geneva in 2019. That same year, Prof. Wong collaborated with the Alibaba Group to establish the first-of-its-kind “FashionAI Dataset”, which improves the accuracy of online searches for fashion images by enabling machine recognition of key points of apparel and classification of fashion attributes.
Prof. Wong is ranked among the world's top 1% of most-cited scientists in the field of “Artificial intelligence & Image Processing”. Globally, there are currently 215,114 scientists working in this field, and Prof. Wong is in the top 1% according to an index compiled by Stanford University based on the "Updated science-wide author databases of standardised citation indicators". He has published more than 150 research articles in Science Citation Index journals, including the world's leading journals in the AI field, such as IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cybernetics, IEEE Transactions on Image Processing, etc. Essential Science Indicators ranks his two research publications in TNNLS in the top 1% of the most cited articles.
Prof. Wong has authored one and edited three books on the integration of artificial intelligence in the fashion and textile industry, including the first-two-ever on the topics of “Optimizing Decision Making in the Apparel Supply Chain Using AI: From Production to Retailing” and “Applications of Computer Vision in Fashion and Textiles”. He is currently the Associate Editor of Neurocomputing.
In the past ten years, Prof. Wong received six international and regional innovation awards. He is frequently invited to deliver plenary, and keynote presentations at international conferences, including the 91st Textile Institute World Conference 2018 at University of Leeds in United Kingdom, International Conference on Clothing and Textiles 2018 at Yonsei University in Korea, Textile International Forum and Exhibition 2019 in Taiwan, etc. He is a technical programme committee member and track chair of several such conferences. As a leading pioneer in the integration of artificial intelligence with fashion and textiles, he also served as the Chair of the world’s first conference on the integration of fashion and artificial intelligence, the “Artificial Intelligence on Fashion and Textile International Conference 2018” (AIFT), which was co-organised by the Alibaba Group and the UK's Textile Institute.
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