电气工程学院学术活动月系列学术报告通知（二十二）

报告题目：The Applications of Machine Learning

报告时间：2016年12月15日 9：00-10：30

报告地点：电气A101

报告人：Kit Yan Chan (陳傑仁) Senior Lecturer

报告人单位：澳大利亚科廷大学

参加人员：相关专业教师和研究生

报告内容：Topics related to machine learning has recently been published on headline news. For example, in March, Google AlphaGo AI program based on machine learning has won a South Korean champion in playing chess. A lot of hot topics issue the implementations of machine learning to assist human operations, such as self-driving cars, intelligent business, factory or manufacturing automations, speech/face recognition, affective computing. In the long term, machine learning attempts to conduct globally on daily lives automation, subjective evaluation and perceptual assessments, which can only be handed manually by human in the past.

Dr. Chan will discuss his research outcomes in machine learning. The following topics will be covered in his research presentation: blood glucose level prediction using neural networks, new product development using fuzzy regression, genetic programming for image quality assessment, neural networks for traffic flow forecasting. He will also suggest potential research areas in machine learning. He hope his presentation will benefit researchers, academia or students, who are interested to machine learning or fully new to machine learning.

报告人简介：Kit Yan Chan (陳傑仁) is a Senior Lecturer in the Department of Electrical and Computer Engineering, Curtin University, Australia. He received his PhD in Computing in London South Bank University, U.K., in 2006. He was a full time researcher in The Hong Kong Polytechnic University (2004-2009) and Curtin University (2009-2013). He has editorial positions in the following international journals: Applied Soft Computing, Neurocomputing, Engineering Applications of Artificial Intelligence, International Journal of Fuzzy Systems, Journal of Intelligent Learning Systems and Applications, and Journal of Engineering Design. He has edited a research book entitled ‘Computational Intelligence Techniques for New Product Development’. He has published 1 research book, 63 international journal papers, 43 international conference papers and 2 book chapters. His current research interests are machine learning and affective computing.