报告题目： Machine learning for healthcare applications.
报告人： 周挥宇 博士
Machine learning has been continuously playing a key role in turning complex medical data into understandable knowledge that can help improve healthcare quality. In this talk, I will reveal novel contribution made in my group to address the challenges inherent to health-related data. Specially, I mainly discuss three examples where machine learning technologies have been successfully applied. The first example is about the development of an automated mouse behaviour recognition system. This is followed the design of an intelligent tool for histopathological cancer image analysis. Finally, we will discuss automated analysis of foetal movement in ultrasonic videos.
Dr. Huiyu Zhou obtained a Bachelor of Engineering degree in Radio Technology from the Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from the University of Dundee of United Kingdom, respectively. He was then awarded a Doctor of Philosophy degree in Computer Vision from the Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou is an assistant professor at School of Electronics, Electrical Engineering and Computer Science, Queen’s University of Belfast, United Kingdom. He has published over 130 peer-reviewed papers in the field. He was the recipient of "Computer Vision and Image Understanding 2012 Most Cited Paper Award", “International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "Medical & Biological Engineering & Computing 2006 Nightingale Prize". Four of his papers recently published by Elsevier were ranked as the ScienceDirect Top 25 Articles. Dr. Zhou currently serves as the Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering and Associate Editor of "IEEE Transaction on Human-Machine Systems", and is on the Editorial Boards of five refereed journals. He is one of the Technical Committee of “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 serves or has served as a technical program committee for 300 conferences in signal and image processing and a reviewer for 100 refereed journals including over 20 IEEE Transactions/Journals. He has given over 50 invited talks at international conferences, industry and universities, and has served as a chair for 30 international conferences and workshops. His research work has been or is being supported by UK EPSRC, Royal Society, EU, Leverhulme Trust, Puffin Trust, Invest NI and industry.