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【海韵讲座】2019年第53期--Entropic Analysis of Network Structure
发布时间:2019年09月24日 浏览次数:

题目: Entropic Analysis of Network Structure

主讲人:Edwin R. Hancock

时间:2019925 上午1000

地点:海韵园行政楼C505

摘要:Computing the entropy of a network has proved to be an elusive problem, with potentially enormous impact on the fields of machine learning, complex systems and big data. In this talk I will present an overview of recent work that has shown how ideas from spectral graph theory and statistical physics can be brought to bare on the problem, yielding simple methods for computing network entropy. The topics covered include detecting anomalies in network time series, modelling the time evolution of networks and decomposing networks into frequently occurring substructures, referred to as motifs. I will furnish examples from the financial and medical domains to illustrate the application of these techniques.

报告人简介:Edwin R. Hancock holds a BSc degree in physics (1977), a PhD degree in high-energy physics (1981) and a D.Sc. degree (2008) from the University of Durham, and a doctorate Honoris Causa from the University of Alicante in 2015. From 1981-1991 he worked as a researcher in the fields of high-energy nuclear physics and pattern recognition at the Rutherford-Appleton Laboratory (now the Central Research Laboratory of the Research Councils). During this period, he worked on high energy physics experiments at the Stanford Linear Accelarator Center (SLAC) providing the first measurements of charmed particle lifetimes. He also held adjunct teaching posts at the University of Surrey and the Open University. In 1991, he moved to the University of York as a lecturer in the Department of Computer Science, where he held a chair in Computer Vision from 1998 until 2018, and where he has been Emeritus Professor since 2018. During this time he founded a group of consisting of some 25 faculty, research staff, and PhD students working in the areas of computer vision and pattern recognition. Since 2018 he has been a Principal Investigator for the Beijing Advanced Innovation Centre for Big Data and Adjunct Professor at Beihang University. He also holds Distinguished Visiting Professorships at a number of universities in China and Korea. He is currently working on machine learning in the structural domain using graphs, strings and trees and also on physics based vision, particularly focussing on the use of polarisation information. His work has found applications in areas such as radar terrain analysis, seismic section analysis, remote sensing, and medical imaging. He has published about 200 journal papers and 700 refereed conference publications. He was awarded the Pattern Recognition Society medal in 1991 and an outstanding paper award in 1997 by the journal Pattern Recognition. He has also received best paper prizes at CAIP 2001, ACCV 2002, ICPR 2006, BMVC 2007 and ICIAP in 2009 and 2015. In 2009 he was awarded a Royal Society Wolfson Research Merit Award. In 1998, he became a fellow of the International Association for Pattern Recognition and in 2016 the IEEE. He is also a fellow of the Institute of Physics, the Institute of Engineering and Technology, and the British Computer Society. In 2016 he was named Distinguished Fellow by the British Machine Vision Association and in 2018 he received the Pierre Devijver Award from the IAPR. He is currently Editor-in-Chief of the journal Pattern Recognition, and was founding Editor-in-Chief of IET Computer Vision from 2006 until 2012. He has also been a member of the editorial boards of the journals IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, Computer Vision and Image Understanding, Image and Vision Computing, and the International Journal of Complex Networks. He has been Conference Chair for BMVC in 1994 and Progrmme Chair in 2016, Track Chair for ICPR in 2004 and 2016 and Area Chair at ECCV 2006 and CVPR in 2008 and 2014, and in 1997 established the EMMCVPR workshop series. He was a Governing Board Member of the IAPR from 2006 to 2016, and was Second Vice President of the Association (2016-2018). He has been a panelist for the UK REF 2014 and REF 2021, serves on several Royal Society awards and appointments panels, and is Chair of the UKCRC Publications Committee.

 

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