Dr.  Yu-Dong Zhang

Based in Leicester, United Kingdom
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Yu-Dong Zhang

Bio:

Prof. Yu-Dong Zhang received his BE in Information Sciences in 2004 and MPhil in Communication and Information Engineering in 2007 from Nanjing University of Aeronautics and Astronautics. He 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. He serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis.

He is the Fellow of IET, Fellow of EAI, and Senior Members of IEEE, IES, and ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was the 2019 & 2021 recipient of Highly Cited Researcher by Clarivate. He won the Emerald Citation of Excellence 2017 and MDPI Top 10 Most Cited Papers 2015. He is included in Top Scientist in Research.com. He is the author of over 300 peer-reviewed articles, including more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers. 

His citation reached 18057 in Google Scholar (h-index 75) and 10276 in Web of Science (h-index 58) till Dec/2021. 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.

Available Lectures

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  • Artificial intelligence for COVID-19 recognition
    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...

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