学术报告
A Brief Exposition of Maths and Computing in Healthcare Research and its Applications-Ke Chen (University of Liverpool, United Kingdom)
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题目: A Brief Exposition of Maths and Computing in Healthcare Research and its Applications
报告人:Ke Chen (University of Liverpool, United Kingdom)
时间:2021年12月24日(周五) 18:30-20:00
地点:腾讯会议 https://meeting.tencent.com/dm/qsaZfCYFW4b9
会议ID:991 525 654
摘要:
In this public lecture, as a former BSc graduate in Applied Maths from DLUT, I shall take the opportunity to exchange ideas and share my experiences in University learning and research with students. The emphasis of the lecture is two-fold: first to link BSc level knowledge to Healthcare problems solving and second to explore some open and outstanding challenges in Healthcare that require new input and work by the new generation of graduates.
I shall start by going to the emerging technology of Deep Learning (DL) which is a currently key focus and also one of the biggest developments in computer science. Though the structure of DL appears to require perhaps no advanced knowledge, the techniques employed by DL and the theories behind it are very much deep rooted in many subjects and courses. Some of these will be illustrated to showcase the achievements in solving Healthcare related problems.
Next, I shall explore more recent works on models and algorithms that are designed to tackle more challenging problems, where even the currently best are not good enough because our knowledge seems always one step behind the real-life problems presented to us. This is nicely tied up with the familiar setting in many courses or textbooks where we say “Assume A and B are true. Then we have result C”. Real-life problems allow no assumptions and it is just what it is as given. I hope, through my lecture, you would get motivated and encouraged
To appreciate the importance of all subjects and multidisciplinary collaboration to study harder in the near future rather than feeling depressed when knowing that many problems remain un-solved. Questions are welcome before, during and after the lecture.
报告人简介:
Ke Chen is a full Professor in Department of Mathematical Sciences, School of Physical Sciences at the University of Liverpool, United Kingdom. He is currently the associate dean for the school on Internationalisation, having previously served as Head of Applied Mathematics for 3 years and head of department for 1 year. He directs the Centre for Mathematical Imaging Techniques (CMIT) and is also the PI for Liverpool Centre for Mathematics for Healthcare (LCMH), one of the five UK Centres funded by UK EPSRC. Prof Chen obtained his degrees from Dalian University of Technology/China (Applied Maths BSc), University of Manchester/UK (Numerical Analysis and Computing MSc) and University of Plymouth/UK (Numerical Analysis, PhD). He was a postdoctoral research fellow in University of Reading for 3 years before joining University of Liverpool (first as a lecturer and subsequently promoted to senior lecturer, reader and professor). He has authored more than 130 journal papers and 7 books, was awarded ~£9 million grants in joint projects with partners, and has successfully supervised 22 PhD students as the primary supervisor. He specialises in numerical linear algebra and solution of partial differential equations, nonlinear optimization, deep learning, variational models and their algorithms for mathematical imaging and applications. He is on the editorial boards of 5 international journals including Springer’s Numerical Algorithms.
联系人: 雷娜