报告题目：Time-varying Network Analysis Using Sequential Monte Carlo
报告人：Ercan E. Kuruoğlu, Editor-in-Chief of Digital Signal Processing
邀请人: 黄磊教授
报告地点：深圳大学信息工程学院N710会议室
报告时间：2017年7月24日下午2:30 – 3:30PM
报告内容：
Most current methods used for network identification are dedicated to inference of steady state networks which are prevalent over all time instants. However, various multivariate data evolve over time. For example, Information about the gene interactions in different stages of a life cycle is of high importance for biology in understanding of protein production, human diseases and in designing personalized treatment plans. Similarly, in seismology it is important to understand the time varying interactions between fault lines leading to seismic displacements or various variables such as gas emission and seismic displacement. In fMRI imaging, it is of importance to understand the time varying response relations between different parts of the brain.
报告人简介：
Ercan E. Kuruoğlu received MPhil and PhD degrees in information engineering from the University of Cambridge, Cambridge, United Kingdom, in 1995 and 1998, respectively. In 1998, he joined Xerox Research Center Europe, Cambridge. He was an ERCIM fellow in 2000 with INRIA-Sophia Antipolis, France. In January 2002, he joined ISTI-CNR, Pisa, Italy. He was a visiting professor with Georgia Tech-China in 2007, 2011 and 2016. He is currently a senior researcher at ISTI-CNR. He was an associate editor for the IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing. He is currently the editor in chief of Digital Signal Processing: A Review Journal. He acted as a technical co-chair for EUSIPCO 2006 and a tutorials co-chair of ICASSP 2014. He is a member of the IEEE Technical Committee on Signal Processing Theory and Methods. He was a plenary speaker at ISSPA 2010 and IEEE SIU 2017 and tutorial speaker at IEEE ICSPCC 2012. He was a Chinese Government 111 Project Foreign Expert 2007-2011. He was an Alexander von Humboldt Experienced Research Fellow in the Max Planck Institute for Molecular Genetics in 2013-2015. His research interests are in the areas of statistical signal and image processing and information and coding theory with applications in computational biology, telecommunications, earth sciences and astrophysics. Currently he is visiting Southern University of Science and Technology.
