应电气与自动化工程学院邀请，香港大学James Lam 教授将于下午3点30分在紫金校区综合楼331教室进行学术报告，欢迎大家参加。
Date:2pm,Jan 6 ,2018
报告题目：Transient and Steady-State Estimates of Interval Genetic Regulatory Networks
Address：NO. 2318 Yuhangtang Road, Cangqian Street, Hangzhou, Zhejiang, China
工作单位：澳大利亚 维多利亚大学 工程与科学学院
报告人：香港大学James Lam 博士
Title: AI in Urban Life
Professor J. Lam received a first class BSc degree in Mechanical Engineering from the University of Manchester in 1983, and was awarded the Ashbury Scholarship, the A.H. Gibson Prize, and the H. Wright Baker Prize for his academic performance. He later obtained the MPhil and PhD degrees from the University of Cambridge in 1985 and 1988, respectively. For his doctoral and post-doctoral research, he was supported by the Croucher Foundation Scholarship and Fellowship . He is the recipient of an Outstanding Researcher Award of the University of Hong Kong.
The mysterious power modern artificial intelligence (AI) demonstrated in competing to beat top human players in chess and go, is also exploited to make urban life more convenient, less stressful and more enjoyable. Techniques including complex network analysis and artificial neural networks have been applied to trip planning, weather forcasting, autor-driving car designing, regional development, and medical diagnosis. The "AI in Urban Life" satellite conference of NetSCIX2018, organized by one of the largest non-government scientific associations in China, Swarma Club, aims to bridge the gap between industry and academia, and to create an opportunity for scientists across disciplines to exchange notes on their practices in applying AI techniques to serve for a better urban life.
专家简介：Dr. Jing He is currently a full professor in the College of Engineering and Science at Victoria University, Australia. She was awarded a PhD degree from the Academy of Mathematics and System Science, Chinese Academy of Sciences in 2006. Prior to joining Victoria University, she worked at the University of Chinese Academy of Sciences, China during 2006-2008. She has been active in areas of Data Mining, Web service/Web search, Spatial and Temporal Database, Multiple Criteria Decision Making, Intelligent Systems, Scientific Workflow and some industry fields such as E-Health, Petroleum Exploration and Development, Water recourse Management and e-Research. She has published over 60 research papers in refereed international journals and conference proceedings, including ACM Transaction on Internet Technology (TOIT), IEEE Transaction on Knowledge and Data Engineering (TKDE), Information Systems, the Computer journal, Computers and Mathematics with Applications, Concurrency and Computation: Practice and Experience, International Journal of Information Technology & Decision Making, Applied Soft Computing, and Water Resource Management. She has received over 1.5 million Australian dollar research funding from the Australian Research Council (ARC) with ARC Early Career Researcher Award (DECRA), ARC Discovery Project, ARC Linkage Project and National Natural Science Foundation of China (NSFC) since 2008.
Prior to joining the University of Hong Kong in 1993, Professor Lam held lectureships at now the City University of Hong Kong and the University of Melbourne. He was a Visiting Fellow of the Research School of Physical Sciences and Engineering, Australian National University. Professor Lam has close academic association with a number of universities in Mainland China. He is Guest Professor of Huazhong University of Science and Technology, Shandong University, Central South University, Harbin Institute of Technology, and was Concurrent Professor of the Northeastern University, Consulting Professor of South China University of Technology.
主要内容：Detecting/predicting anomalies from multiple correlated data streams is valuable to those applications where a credible real-time event prediction system will minimize economic losses (e.g. stock market crash) and save lives (e.g. medical surveillance in the operating theatre). This talk will introduce an effective and efficient method for mining the anomalies of correlated multiple and co-evolving data streams in online and real-time manners. It includes the detection/prediction of anomalies by analyzing differences, changes, and trends in correlated multiple data streams. The predicted anomalies often indicate the critical and actionable information in several application domains.
On the professional service side, Professor Lam is a Chartered Mathematician, Chartered Scientist, Fellow of Institute of Mathematics and Its Applications, Fellow of Institution of Engineering and Technology, Senior Member of Institute of Electrical and Electronics Engineers, and Associate Member of Institution of Mechanical Engineers. He also joined other learned societies as Fellow of the Cambridge Philosophical Society and Fellow of the Cambridge Commonwealth Society. Professor Lam is Associate Editor of Asian Journal of Control, International Journal of Systems Science, International Journal of Applied Mathematics and Computer Science, IEEE Transactions on Signal Processing, Journal of the Franklin Institute, Automatica, Conference Editorial Board of the IEEE Control Systems Society, Subject Editor of Journal of Sound and Vibration, editorial member of IET Control Theory and Applications, Open Electrical and Electronic Engineering Journal, Research Letters in Signal Processing, Open Automation and Control Journal, Dynamics of Continuous, Discrete and Impulsive Systems: Series B (Applications & Algorithms), International Journal of Systems, Control and Communications, and Journal of Electrical and Computer Engineering. He has served as Editor-in-Chief of the IEE Proceedings: Control Theory and Applications and as member of the IFAC Technical Committee on Control Design. He is a reviewer of the Mathematical Reviews of the American Mathematical Society. Professor Lam also serves as Panel Member (Engineering) of the Research Grants Council, HKSAR.
Jiang Zhang(Beijing Normal University）