2023 3rd International Conference on Bioinformatics and Intelligent Computing (BIC 2023)

Speakers

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Prof. Ying Xu, IEEE Fellow, University of Georgia, USA

BIO:

Ying Xu has been the "Regents and Georgia Research Alliance Eminent Scholar" Chair of bioinformatics and computational biology and Professor in Biochemistry and Molecular Biology Department since 2003 and was the Founding Director of the Institute of Bioinformatics, the University of Georgia (UGA). He received his Ph.D. degree in theoretical computer science from the University of Colorado at Boulder in 1991. He started his bioinformatics career in 1993 when he joined Oak Ridge National Lab, where he worked for ten and half years. In 2003, he was recruited to the UGA to build the Institute of Bioinformatics.  His current research interests are in cancer bioinformatics and systems biology, particularly in cancer metabolism. He has over 300 publications, including five books, with total citations more than 18,000 and H-Index = 69; and has given over 250 invited/contributed talks at conferences, research organizations and universities.




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Prof. Linlin Shen, School of Computer Science, Shenzhen University, China


BIO: 

Prof. Linlin Shen is currently the “Pengcheng Scholar” Distinguished Professor at School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also an Honorary professor at School of Computer Science, University of Nottingham, UK and Distinguished Visiting Scholar at University of Macao. He serves as the director of Computer Vision Institute, AI Research Center for Medical Image Analysis & Diagnosis and China-UK joint research lab for visual information processing. He also serves as the Co-Editor-in-Chief of the IET journal of Cognitive Computation and Systems. He received the BSc and MEng degrees from Shanghai JiaoTong University, Shanghai, China, and the Ph.D. degree from the University of Nottingham, Nottingham, U.K. He was a Research Fellow with the University of Nottingham, working on MRI brain image processing. His research interests include deep learning, facial analysis and medical image processing. Prof. Shen is listed as the Most Cited Chinese Researcher by Elsevier. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.