2022 ABCP Annual Conference: Artificial Intelligence

Abstract: In this talk, the role of industrial automation and information technology in the industrial revolutions is analyzed, as well as the current status and main problems in automation and information for manufacturing enterprise. The connotation of industrial intelligence and the challenges in realizing industrial intelligence are put forward. Based on the analysis and application cases of industrial internet and industrial artificial intelligence, the technical basis of industrial intelligence is presented. Then, the research directions, ideas and methods of industrial intelligence are proposed.

摘要: 本报告分析了工业自动化与信息化技术在工业革命中的作用以及制造企业自动化与信息化现状和存在的主要问题，提出了工业智能的内涵和实现工业智能面临的挑战科学问题，通过对工业互联网和工业人工智能的分析和应用案例，提出了工业智能的技术基础，在此基础上提出了工业智能的研究方向和研究思路与方法。

Professor Chai Tianyou

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 297 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.

Abstract: Environmental noise is often the main cause of environmental distress in terms of the number of complaints received. The conventional approach of reducing ‘sound level’ does not always deliver the required improvements in quality of life. Soundscape, defined by the ISO as the ‘acoustic environment as perceived or experienced and/or understood by a person or people, in context’, promotes a holistic approach, regarding sounds as ‘resources’ rather than just ‘wastes’. Consequently, it is vital to establish “soundscape indices” (SSID). By taking multiple factors, including psychological, (psycho)acoustical, neural and physiological, and contextual factors, into account, SSID will adequately reflect levels of human comfort. This talk will explore the application of ANN for the establishment of SSID, based on large scale subjective survey and objective measurement databases. It is expected that this AI case study would trigger some discussions on AI applications in different fields.

Professor Jian Kang

Bio: Professor Jian Kang, FREng (英国皇家工程院院士), MAE (欧洲科学院院士), FIOA, FASA, FIIAV, CEng, has been a full professor since 2003. He is President-Elect of the International Institute of Acoustics and Vibration (IIAV), and he also chairs the European Acoustics Association Technical Committee for Noise, and the EU COST Action on Soundscape of European Cities and Landscapes. He was awarded IOA Tyndall Medal 2008 and Peter Lord Award 2014; NAS Lifetime Achievement Award 2014; and CIBSE Napier Shaw Bronze Medal 2013. He is Fellow of Royal Academy of Engineering, and a Member of Academia Europaea -The Academy of Europe.

Jian Kang, Professor of Acoustics and Soundscape, has worked in the field for 35+ years, with 80+ research projects, 800+ publications, 90+ engineering/consultancy projects, and 20+ patents. His work on acoustic theories, design guidance and products has brought major improvements to the noise control in underground stations/tunnels and soundscape design in urban areas. He is recipient of the prestigious Advanced ERC Grant Award, currently working internationally on developing Soundscape Indices.

Abstract: This talk will introduce the research programme of the Surrey Institute for People-Centred which aims to put people at the heart of future AI driven solutions to ensure that they are of benefit to individuals and society. The Institute brings together expertise in AI and application domains including health, social and engineering sciences to realise the next generation of AI technologies. The talk will showcase active research projects which are bringing together AI and domain expertise building on leading expertise in areas such as audio and visual AI to realise future solutions in healthcare, education, entertainment and business.

Professor Adrian Hilton

Bio: Adrian Hilton is Professor of Computer Vision, founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey. The focus of his research is Perceptual AI enabling machines to understand and interact with the world through seeing and hearing. This combines the fields of computer vision and machine learning to develop new methods for reconstruction, modelling and understanding natural scenes from video and audio. Since joining CVSSP in 1992, he has led research in 3D and 4D computer vision exploited in entertainment manufacture and healthcare. He has received two EU IST Prizes, a DTI Manufacturing Industry Achievement Award, and a Computer Graphics World Innovation award; eight best paper awards in international journals and conferences; and co-founded the European Conference on Visual Media Production. He held a Royal Society Wolfson Research Merit Award (2013–18) and a Royal Society Industry Fellowship (2008–11) with Framestore to investigate multi-view and 3D video in film production. He was elected Fellow of the Royal Academy of Engineering in 2019 and Fellow of the Institute of Engineering and Technology 2012 and received the IET Achievement Medal in 2018.

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Ms Danting Shen

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Ms Qianlei Yao

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Dr Xiaocheng Shang

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Professor Shengxiang Yang

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Professor Wen-Hua Chen

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Dr Yunpeng Li

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Abstract: Artificial Intelligence (AI) is the science of mimicking human intelligences and behaviors. Machine Learning (ML), a subset of AI, trains a machine how to use algorithms or statistics to find hidden insights and learn automatically from data. Deep learning (DL) is one of machine learning methods where we use deep neural networks with advanced algorithms such as auto-encoding or convolution to recognize patterns in data. AI has become very successful recently due to the availability of huge data and powerful supercomputers. Many applications such as speech and face recognition, image classification, natural language processing, bioinformatics, health informatics such as disease prediction and detection suddenly took great leaps due to the advance of AI. Although various AI architectures and novel algorithms have been invented for many bio and health applications, better explainability, increasing prediction accuracy and speeding up the training process are still challenging tasks among others. In this talk, I will outline recent developments in AI research for bioinformatics and health informatics. The topics discussed include proposing more effective architectures, intelligently freezing layers, gradient amplification, effectively handling high dimensional data, designing encoding schemes, mathematical proofs, optimization of hyper-parameters, effective use of prior knowledge, embedding logic and reasoning during training, result explanation and hardware support. These challenges create a huge number of opportunities for people in both computer science and health care. In this talk, some of our solutions and preliminary results in these areas will be presented and future research directions will also be identified.

Professor Yi Pan

Bio: Dr Yi Pan is currently a Chair Professor and the Dean of Faculty of Computer Science and Control Engineering at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China and a Regents’ Professor Emeritus at Georgia State University, USA. He served as Chair of Computer Science Department at Georgia State University from 2005 to 2020. He has also served as an Interim Associate Dean and Chair of Biology Department during 2013-2017. Dr Pan joined Georgia State University in 2000, was promoted to full professor in 2004, named a Distinguished University Professor in 2013 and designated a Regents’ Professor (the highest recognition given to a faculty member by the University System of Georgia) in 2015.

Dr Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991. His profile has been featured as a distinguished alumnus in both Tsinghua Alumni Newsletter and University of Pittsburgh CS Alumni Newsletter. Dr Pan’s current research interests mainly include bioinformatics and health informatics using big data analytics, cloud computing, and machine learning technologies. Dr Pan has published more than 450 papers including over 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals. In addition, he has edited/authored 43 books. His work has been cited more than 18500 times based on Google Scholar and his current h-index is 88. Dr Pan has served as an editor-in-chief or editorial board member for 20 journals including 7 IEEE Transactions. Currently, he is serving as an Editor-in-Chief of Big Data Mining and Analytics, an Associate Editor-in-Chief of Journal of Computer Science and Technology, Chinese Journal of Electronics, and IEEE/ACM Transactions on Computational Biology and Bioinformatics. He is the recipient of many awards including one IEEE Transactions Best Paper Award, five IEEE and other international conference or journal Best Paper Awards, 4 IBM Faculty Awards, 2 JSPS Senior Invitation Fellowships, IEEE BIBE Outstanding Achievement Award, IEEE Outstanding Leadership Award, NSF Research Opportunity Award, and AFOSR Summer Faculty Research Fellowship. He has organized numerous international conferences and delivered keynote speeches at over 70 international conferences around the world.

Dr Pan is a Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of Ukrainian Academy of Engineering Sciences, Fellow of American Institute for Medical and Biological Engineering, Fellow of Institute of Engineering Technology and Fellow of Royal Society for Public Health.

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Dr Pengfei Chen

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Professor Hui Wang

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Dr Xin Zhang

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Professor Huiru Zheng

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Professor Yaochu Jin

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Shuangyu Wei

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Zhuang Shao

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Mengyuan Wang

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Bingxin Zi

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Hongbo Bo

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