2022 2nd International Conference on Bioinformatics and Intelligent Computing
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Keynote Speakers

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Prof. Nizhuan WANG, Jiangsu Ocean University, China

BIO: Dr. Nizhuan Wang (王倪传) is a full professor of School of Computer Engineering and the Director of ARtificial Intelligence & Neuro-informatics Engineering (ARINE) Laboratory, Jiangsu Ocean University since Mar. 2018. Before that, he was an assistant professor and the deputy director (Medical Information Engineering Department) of Shenzhen University (2016.06-2018.03). He received the degrees of B.S., M.S. and Ph.D. from Heilongjiang University (in 2010), Shanghai Maritime University (in 2012 and 2016), respectively. He is a senior member of Chinese Biomedical Engineering Society, a member of Chinese Artificial Intelligence Society, a member of OHBM, the Program Committee member of 2018 IEEE ICIA and the Session Chairs of 2017 IEEE ICIA and 2018 ICIS. His master dissertation was awarded “Shanghai Outstanding Master Thesis” in 2014. He also won 2018 Finalist Winners of Young Scholar Award of the 5th Symposium of Research and Application on Neuroimage and EEG, the second prize of the 4th Lianyungang Natural Science Outstanding Academic Achievement Awardand in 2018, the Shanghai Science and Technology Progress Award in 2018, the Excellent Instructor of the National University Computer Ability Challenge Award in 2019, and Excellent Undergraduate Thesis Supervisor of Jiangsu Province Award in 2020. Recently, he was selected as the high-level talents of “Six Talent Peaks” in Jiangsu Province in Sep., 2018, Huaguoshan Mountain Talent Plan - Doctors for Innovation and Entrepreneurship (Innovation) of Lianyungang City in Dec., 2019. His main research fields include data and information mining of multi-modal neuroimaging signals, occupational neuroplasticity, brain plasticity and mental health, brain connectomics, neurosurgery and neurobotics, machine learning and artificial intelligence, etc. He has published over forty scientific papers on many journals and conferences, i.e., Hum Brain Mapp, IEEE TBME, IEEE JBHI, IEEE TNSRE, J Neurosci Methods, Magn Reson Imaging, Front Neurosci, Front Psychol, etc. He has also been the reviewer of many journals such as Neuroimage, Artificial Intelligence in Medicine, etc. 


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Prof. Zhenghua XU, Hebei University of Technology, China

BIO: Zhenghua Xu (许铮铧) received the B.Eng. degree from Beijing University of Posts and Telecommunications, China, the M.Phil. in Computer Science degree from The University of Melbourne, Australia, in 2012, and the D.Phil in Computer Science degree from University of Oxford, United Kingdom, in 2018. From 2017 to 2018, he worked as a Research Associate at the Department of Computer Science, University of Oxford. Prof. Xu is now a Full Professor at the Hebei University of Technology, China, and also a Distinguished Scholar of “100 Talents Plan” of Hebei Province, China. He has published more than 20 papers in top AI or database conferences, e.g., AAAI, IJCAI, ICDE, EDBT, CIKM, etc. His research focuses on topics within artificial intelligence and data mining, especially deep learning, medical artificial intelligence, health data mining, and reinforcement learning. Prof. Xu’s research is supported by the National Natural Science Foundation of China, the Natural Science Foundation of Tianjin, the “100 Talents Plan” of Hebei Province, and the Yuanguang Scholar Fund of Hebei University of Technology. Dr. Xu continuously serve as the member of Program Committee and Area Chair of several top AI conferences, e.g., AAAI, IJCAI, ECAI, MICCAI, etc. He is also the reviewer of many peer-reviewed journals, e.g., Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering, IEEE Access, IEEE Intelligent Systems, etc.


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

BIO: Prof. Linlin Shen (沈琳琳) 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.


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Prof. Jiayin Wang, School of Computer Science and Technology, Xi'An Jiaotong University, China

BIO: Prof. Jiayin Wang(王嘉寅) received the B.S. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2008 and the Ph.D. degree in computer science and engineering from University of Connecticut, Storrs, USA, in 2013. From 2013 to 2015, he was a Postdoctoral Research Associate with The Genome Institute at School of Medicine, Washington University in St. Louis, USA. Since 2015, he has been a Professor with Department of Computer Science and Technology, Xi’an Jiaotong University. His research interest includes the algorithms and systems for the applications on bioinformatics, computational biology and cancer genomics.



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