Prof. Zhigeng Pan
Hangzhou Normal University, China
潘志庚，国家重点研发计划项目首席科学家，中国图像图形学学会副理事长，中国虚拟现实与可视化创新技术战略联盟副理事长，中国系统仿真学会娱乐仿真专委会主任，广东虚拟现实产业研究院院长，杭州师范大学虚拟现实与智能系统研究院院长。主要研究方向为：虚拟现实、人机交互、数字博物馆、智慧旅游、数字娱乐与游戏等。发表论文180多篇，其中国际重要期刊和顶级会议论文80余篇，其中SCI论文70余篇，EI论文120余篇；发表的论文被国内外学者广泛引用；根据Google Scholar，论著被他引近2000余次。其中2012年发表在TVCG上的论文成为全球1%高引论文（SCI他引256次）；2006年发表在C&G上的论文，成为2005年以来被ScienceDirect列入中国作者发表的所有计算机论文中，最受关注的50篇论文（排名第七）。这些理论研究成果除了被学术界承认外，还在国家重大工程或项目（虚拟奥运博物馆，航海模拟，漫游京杭大运河和上海世博会）中得到成功应用。2001年获得中国高校科技进步奖(自然科学类)二等奖，2008年获得国家科技进步二等奖（排名第三），2011年获得上海市科技进步一等奖，2016年获得浙江省自然科学二等奖，2020年获得国家自然科学二等奖（公示中），2000年分别获得浙江省自然科学基金杰出青年基金项目和教育部优秀青年教师教学科研奖励计划（即新世纪人才计划），2002-2005/2013-2016二次担任浙江省特聘教授（钱江学者）。在计算机图形学、虚拟现实和数字旅游等方向上有比较大的国际知名度和学术影响：应邀担任ACM SIGGRAPH学会教育委员会亚洲区代表（2006-2008），担任SIGGRAPH Asia图形学顶级国际会议程序委员会共同主席（2011），担任IEEE VR 2013程序委员会共同主席（中国学者首次担任该职位）；担任国际期刊International Journal of Virtual Reality（IJVR）主编（2006-2013）、国际期刊Transactions on Edutainment主编（2008--）、国际虚拟系统与多媒体协会（VSMM）主任（中国部）。
Prof. Eugene Ch’ng
University of Nottingham’s China campus
Professor Eugene Ch’ng graduated with a best PhD from the Electronics, Electrical and Computer Engineering Department at the University of Birmingham in 2007. He has 20 years of interdisciplinary research, with formal training in art and design, 3D design for the built environment, computational sciences, and humanities and social sciences research. He is founding director for both the NVIDIA Joint-Lab on Mixed Reality and the Digital Heritage Centre, both at the University of Nottingham’s China campus. Professor Ch’ng specialises in VR and Mixed Reality. He leads the parallel and distributed complex systems simulation and visualisation research for the ERC ‘Lost Frontiers’ Advanced research grant. He is chief editor for PRESENCE: Virtual and Augmented Reality MIT Press, the longest established journal on VR research. Professor Ch’ng has been invited to prestigious scientific venues such as The Royal Society Summer Science Exhibition, The Royal Society Theo Murphy Scientific meeting. His research has both been presented and exhibited at British Science Festivals, Orkney International Science Festival, Darwin’s Bicentenary Exhibition, British Council SPARK, National Geographic Television, Channel Four’s Time Team Special and at UNESCO events. He has authored over 120 publications and has led international grant-funded research which establishes cross-cultural and interdisciplinary collaboration. He has also served as global consultant for the V&A’s ReACH programme (Reproduction of Art and Cultural Heritage) and has been an active member of the digital heritage community.
Prof. Huiyu Zhou,
University of Leicester, UK
Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Informatics, University of Leicester, United Kingdom. He has published over 300 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". Dr. Zhou serves as the Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering and Associate Editor of "IEEE Transaction on Human-Machine Systems", “IEEE Journal of Biomedical and Health Informatics”, “Pattern Recognition”, “PeerJ Computer Science” and “IEEE Access”, and Area Chair of IJCAI and BMVC. He is one of the Technical Committee of “IEEE Cognitive and Development Systems”, “Information Assurance & Intelligent Multimedia-Mobile Communication in IEEE SMC Society”, “Robotics Task Force” and “Biometrics Task Force” of the Intelligent Systems Applications Technical Committee, IEEE Computational Intelligence Society. He has given over 100 invited talks at international conferences, industry and universities, and has served as a chair for 70 international conferences and workshops. His research work has been or is being supported by UK EPSRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.
Speech Title:: Dealing with uncertainty in image analysis
Abstract: In this talk, I start with a simple classification problem, introducing Naïve Bayes as a classification model. As the applications of this classification model and its kind, I show a few application areas, initiating our discussion on event detection that covers our studies on gender recognition, age classification, human detection and tracking, and trajectory clustering. In the second strand, I explain the importance and value of undertaking research on mouse behaviour analysis for Parkinson’s disease. In particular, our research on mouse detection and tracking, single- and multi-view mouse behaviour recognition using Bayesian and deep learning will
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