Invited Speaker

Multimedia image processing in COVID-19 diagnosis

Prof. Yu-Dong Zhang
School of Computing and Mathematical Sciences
University of Leicester, UK





Abstract:
A CT scan is a medical imaging technique used in radiology to get detailed images of the body noninvasively for diagnostic purposes. COVID-19 is a pandemic disease that already caused more than 6.0 million deaths until 11/March/2022. This talk will discuss the recent advances in multimedia image processing methods and models for chest CT-based diagnosis in COVID-19 and other two chest-related diseases: secondary pulmonary tuberculosis and community-acquired pneumonia.


Biography:
Prof. Yu-Dong Zhang received a Ph.D. degree in Signal and Information Processing from Southeast University in 2010. He worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a Professor at the School of Computing and Mathematical Sciences, University of Leicester, UK.
He is the Fellow of IET, Fellow of EAI, Fellow of BCS, Senior Members of IEEE, IES, and ACM, and Distinguished Speaker of ACM. He was the 2019 & 2021 recipient of Clarivate Highly Cited Researcher. He is included in Top Scientist in Research.com. He authors over 300 peer-reviewed articles, including more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, British Council, and NSFC. He has given over 120 invited talks at international conferences, universities, and companies. He has served as (Co-)Chair for more than 60 international conferences and workshops.