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Zhao-Xiang Zhang received the B. Sc. degree in circuits and systems from University of Science and Technology of China (USTC), China in 2004, received the Ph.D. degree from National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China in 2009. In October 2009, he joined School of Computer Science and Engineering, Beihang University, as an assistant professor (2009–2011) and an associate professor (2012–2015). In July 2015, he returned to Institute of Automation, Chinese Academy of Sciences as a full professor in the Center for Research on Intelligent Perception and Computing (CRIPAC) and the National Laboratory of Pattern Recognition (NLPR). He has published more than 200 papers in the international journals and conferences, including reputable international journals such as IEEE TPAMI, IJCV, JMLR and top level international conferences like CVPR, ICCV, ECCV, ICLR, NeurIPS, AAAI and IJCAI. He served or is serving as the Associate Editor of IEEE TCSVT, Pattern Recognition, and Frontiers of Computer Science. He has served as the Area Chair of the reputable international conferences like CVPR, ICCV, AAAI, IJCAI, ACM MM, ICPR and ACCV.
His research interests include computer vision, pattern recognition, and machine learning. Recently, he specifically focuses on biologically inspired intelligent computing and its applications on human analysis and scene understanding.
Bin Luo received the B. Eng. degree in electronics, and the M. Eng. degree in computer science from Anhui University, China in 1984 and 1991, respectively, and the Ph. D. degree in computer science from the University of York, UK in 2002. From 2000 to 2004, he was a research associate with the University of York, UK. He is currently a professor with Anhui University, China. He is the founding chair of the IEEE Hefei subsection. He is the director of the Anhui Provincial Key Laboratory of Multimodal Cognitive Computing, China. He is in the editorial boards of Pattern Recognition, Cognitive Computation and Pattern Recognition Letters.
His research interests include structural pattern recognition, video analysis, and remote sensing image processing.
Jin Tang is currently a professor and Ph. D. supervisor with School of Computer Science and Technology, Anhui University, China. He has been awarded as a Distinguished Professor of Wanjiang Scholars, and the eighth batch of academic and technical leaders in Anhui Province, China in 2021. He has been awarded as an outstanding member of the China Computer Federation (CCF), a member of the CCF Big Data Expert Committee, and a director of the China Society of Image and Graphics. He serves as the Vice Chairman of Anhui Artificial Intelligence Society from 2016 to 2021, the Secretary General of CCF Hefei Branch from 2019 to 2022, the Deputy Secretary General of Anhui Computer Society and Director of the Award Committee from 2015, the Executive Vice Chairman of Hefei New Generation Artificial Intelligence Industry Development Alliance from 2020, and the Deputy Secretary General of Anhui Artificial Intelligence Association from 2022.
His research interests include computer vision, pattern recognition, and machine learning. He has formed research characteristics in multi-modal visual analysis, structured visual analysis, etc.
Shan Yu received the B. Sc. and Ph. D. degrees in biology from University of Science and Technology of China, China in 2000 and 2005, respectively. From 2005 to 2014, he conducted postdoctoral research with the Max-Planck Institute for Brain Research, Germany (2005–2008), and the National Institute of Mental Health, USA (2008–2014). After that, he joined Institute of Automation, Chinese Academy of Sciences (CASIA), China. He is currently a professor with Brainnetome Center and National Laboratory of Pattern Recognition (NLPR), CASIA. He has authored or coauthored more than 50 peer-reviewed articles in neuroscience and other interdisciplinary fields at leading journals, such as Nature Machine Intelligence, Journal of Neuroscience, and eLife.
His research interests include neuronal information processing, brain-inspired computing, and brain-machine interface.
Amir Hussain received the B. Eng. (highest first-class Hons. with distinction) and Ph. D. degrees from the University of Strathclyde, UK in 1992 and 1997, respectively. He is the founding Director of the Centre of AI and Data Science, Edinburgh Napier University, UK. He has authored or co-authored three international patents and about 500 publications, including more than 200 journal papers and 20 books/monographs. He has led major national and international projects, and supervised more than 35 Ph. D. students. He is the founding Chief Editor of Springer’s Cognitive Computation journal and Springer Book Series on Socio-Affective Computing. He has been invited as an Associate Editor/Editorial Board member of various other top journals, including the IEEE Transactions on Neural Networks and Learning Systems, Information Fusion, IEEE Transactions on Systems, Man and Cybernetics: System, IEEE Transactions on Emerging Topics in Computational Intelligence. He is an elected Executive Committee Member of the UK Computing Research Committee (national expert panel of the IET and the BCS for UK computing research), the General Chair of IEEE WCCI 2020 (the world’s largest IEEE technical event in computational intelligence, comprising IJCNN, IEEE CEC, and FUZZ-IEEE), and Chair of the IEEE UK and Ireland Chapter of the IEEE Industry Applications Society.
His research interests include cross-disciplinary and industry-led, aimed at developing cognitive data science and trustworthy AI technologies to engineer smart industrial and healthcare systems of tomorrow.
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Zhang, ZX., Luo, B., Tang, J. et al. Editorial for Special Issue on Brain-inspired Machine Learning. Mach. Intell. Res. 19, 347–349 (2022). https://doi.org/10.1007/s11633-022-1376-6
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DOI: https://doi.org/10.1007/s11633-022-1376-6