Advisory Board and Editors Computer Vision
Richang Hong
Dr. Richang joined School of Computer and Information, Hefei University of Technology (HFUT) as a Professor. His current research interests include multimedia content analysis and social media. He has authored over 100 journal and conference papers in these areas and the Google Scholar citations for those papers is more than 7000. He served as editor of the IEEE Transactions on Big Data, Information Sciences, Signal Processing and Neural Processing Letter, and the guest editors of several international journals, a steering committee member of MMM (international conference on multimedia modeling) conference series since 2019, and the technical program chairs of the 22th International conference on Multimedia Modeling 2016 and the 9th ACM International Conference on Internet Multimedia Computing and Services 2017. He served as area chairs of ACM Multimedia 2017,2018,2019, 2020 and a technical program committee member of over 20 prestigious international conferences, and a reviewer of over 20 prestigious international journals. He is a recipient of the Best Paper Award in ACM Multimedia 2010, Best Paper Award in ACM International Conf. on Multimedia Retrieval 2015 and Best Paper Honorable Mention Award of IEEE trans. Multimedia 2015. Dr. Hong is the CCF technical committee member on multimedia and the secretary of the ACM SIGMM China Chapter.
Yan Chai Hum
Dr. Hum Yan Chai is a researcher in artificial intelligence and computer vision. He received his B.Eng degree in biomedical engineering from the Universiti Teknologi Malaysia (UTM). He is currently serving as an Assistant Professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman.
Zhaojie Ju
Zhaojie Ju (M'08-SM'16) received a BSc degree in automatic control and a MSc degree in intelligent robotics from the Huazhong University of Science and Technology, China. He received a Ph.D. degree in intelligent robotics from the University of Portsmouth, U.K. He held research appointments at University College London, London, U.K., before he started his independent academic position at the University of Portsmouth, in 2012. He has authored or co-authored over 200 publications in journals, book chapters, and conference proceedings, and received five Best Paper Awards, one book award, and one Best AE Award in ICRA2018. His research interests include machine intelligence, pattern recognition and their applications on human motion analysis, multi-fingered robotic hand control, human–robot interaction and collaboration, and robot skill learning.
Goo Jun
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.
Faizal Khan
Dr. Z. Faizal khan is currently working as an assistant professor at the Department of Computer Science in the College of Computing and Information Technology (CCIT), Shaqra University, the Kingdom of Saudi Arabia. His research interests includes Artificial Intelligence, Intelligent based Systems, Image Processing and pattern Recognition.
Yann LeCun
Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).
Ying Li
Dr. Ying Li received the Ph.D. degree in Electrical Engineering from the University of Southern California (USC), Los Angeles, in 2003. Since then, she has been with IBM T. J. Watson Research Center as a Research Staff Member. Dr. Li’s research interests include digital image processing, multimedia content analysis and management, pattern recognition, computer vision, business analytics and service management, and computational creativity.
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Tariq Masood
Reader in Design, Manufacturing and Engineering Management, University of Strathclyde, Glasgow.
Interested in robotics, human-machine interaction, artificial intelligence, machine learning, computer vision, visual analytics and Industry 4.0.
Laurent Najman
In 1998, he joined OCÉ Print Logic Technologies, as senior scientist. He worked there on various problem of image analysis dedicated to scanning and printing. In 2002, he joined the Informatics Department of ESIEE, Paris, where he is professor and a member of the Laboratoire d’Informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée. His current research interest is discrete mathematical morphology and discrete optimization.
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).
Feiping Nie
Feiping Nie's research interests are machine learning and its application. He has published more than 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, TKDD, TVCG, TCSVT, TMM, TSMCB/TC, Machine Learning, Pattern Recognition, Medical Image Analysis, Bioinformatics, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, SIGIR, ACM MM, ICDE, ECML/PKDD, ICDM, MICCAI, IPMI, RECOMB. According to Google scholar, his papers have been cited more than 2000 times.