This is the web page of the Artificial Intelligence track of the ABCP 2022 Annual Conference, to be held on Friday 1st and Saturday 2nd July 2022.
Day 1: Friday 1st July 2022 (Hybrid: Onsite and Zoom Connection)
|01:30-03:30pm||Keynote I, Chaired by Person and organization(s) to be determined|
|01:30-02:30pm||Development Directions of Industrial Intelligence (工业智能发展方向)
Professor Tianyou Chai (柴天佑), Northeastern University, China
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.
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.
Professor Adrian Hilton, University of Surrey, UK
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.
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.
Day 2: Saturday 2nd July 2022 (Hybrid: Onsite and Zoom Connection)
|01:30-02:30pm||Keynote II, Chaired by Person and organization(s) to be determined|
|01:30-02:30pm||AI in Medical and Biological Data Applications
Professor Yi Pan, Shenzhen Institute of Advanced Technologies, China; Georgia State University, USA
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.
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.