Main Conference Keynote Speakers
James E. Fowler 
Professor,IEEE Fellow 
Mississippi State University, 

James E. Fowler is currently Billie J. Ball Professor and Graduate Program Director of the Department of Electrical and Computer Engineering at Mississippi State University, Starkville, MS. He is also an Associate Director of the Distributed Analytics and Security Institute (DASI) as well as a researcher in the Geosystems Research Institute (GRI), both at the Mississippi State HPC2. He has held visiting professor positions in the Département Traitement du Signal et des Images at Télécom ParisTech, Paris, France, and at Polytech Nantes, Nantes, France. He held an postdoctoral research position in the Laboratoire I3S at the Université de Nice—Sophia Antipolis, Sophia Antipolis, France. He is the Editor-in-Chief of IEEE Signal Processing Letters, and was previously a Senior Area Editor for IEEE Transactions on Image Processing and previously an Associate Editor for IEEE Transactions on Computational Imaging, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, and IEEE Signal Processing Letters. He is an Associate Editor for the EURASIP Journal on Image and Video Processing. He is a member of the Publications Board and the Conference Board of the IEEE Signal Processing Society. He was the Chair of the Image, Video, and Multidimensional Signal Processing (IMVSP) Technical Committee of the IEEE Signal Processing Society for 2012–2013, having served as also as Vice Chair and Past Chair. He is currently a member of the Computational Imaging Special Interest Group of the IEEE Signal Processing Society. He was a member of the Strategic Planning Committee of the IEEE Publication Services and Products Board in 2013. He is a Fellow of the IEEE. He was general co-chair of the 2014 IEEE International Conference on Image Processing, Paris, France. He is a member of the program committee for the Data Compression Conference. 

Enrique Herrera-Viedma 
Professor of Department of Computer Science and Artificial Intelligence 
University of Granada 

Prof. Dr. Enrique Herrera-Viedma received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Granada, Spain, in 1993 and 1996, respectively. He is currently a Professor of Computer Science with the Department of Computer Science and Artificial Intelligence, University of Granada, and also the new Vice-President for Research and Knowledge Transfer. His current research interests include intelligent decision making, group decision making, consensus models, fuzzy linguistic modeling, aggregation of information, information retrieval, bibliometric, digital libraries, web quality evaluation, recommender systems, and social media. Around 29 of his papers are classed as highly cited in the Thomson Reuters database as well as being in the top 1% of the most cited papers in its field (Computer Science and Engineering). His h-index is 53 according to the Web of Science with more than 11.500 citations received and 73 according to Google Scholar with more than 21.000 citations received and he is ranked in the top 1% of the Most Cited Scientists in Engineering according to the Essential Science Indicators of Thomson. Dr. Herrera-Viedma is an Associate Editor of several core international journals indexed in Journal Citation Reports such as the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, Knowledge Based Systems, Soft Computing, Fuzzy Optimization and Decision Making, Applied Soft Computing, Journal of Intelligent and Fuzzy Systems, Information Fusion and Information Sciences; and a member of the editorial boards of other core international journals Fuzzy Sets and Systems, International Journal of Information Technology and Decision Making, and International Journal of Computational Intelligence. From 2014 he is member of the government of the IEEE SMC Society. He has recently published in the high relevant journal Science [339:6126, p. 1382, 2013] on the new role of the public libraries and he is a Highly Cited Researcher according to Shangai Center and Thomson Reuters in the categories of Engineering and Computer Science (in 2014, in 2015, in 2016), therefore, being considered one of the world’s most influential scientific researchers 

 Workshop Speakers
Jun Li 
Sun Yat-sen University, Guangzhou 

Jun Li received the B.S. degree in geographic information systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de Telecomunica??es, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon, Portugal, in 2011. Currently, she is a Professor with Sun Yat-sen University, Guangzhou, China, where she founded her own research group on hyperspectral image analysis and calibration in 2013. Since then, she has obtained several prestigious funding grants at the national and international level. She has published a total of 68 journal citation report (JCR) papers, 48 conference international conference papers, and 1 book chapter. She has received a significant number of citations to her published works, with several papers distinguished as “Highly Cited Papers” in Thomson Reuters’ Web of Science Essential Science Indicators (WoS-ESI). She was elevated to IEEE Senior Member status in 2016. Her students have also obtained important distinctions and awards at international conferences and symposia. Her main research interests comprise remotely sensed hyperspectral image analysis, signal processing, supervised/semisupervised learning and active learning. Prof. Li is an Associate Editor for the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (since 2014). She has been a Guest Editor for several journals, including the Proceedings of the IEEE and the ISPRS Journal of Photogrammetry and Remote Sensing. She has also been an active reviewer for several journals, including the IEEE Transactions on Geoscience and Remote Sensing, the IEEE Geoscience and Remote Sensing Letters, the IEEE Transactions on Image Processing, Pattern Recognition, Optical Engineering, Journal of Applied Remote Sensing,and Inverse Problems and Imaging. She has received several important awards and distinctions, including the IEEE Geoscience and Remote Sensing Society (GRSS) Early Career Award in 2017, due to her outstanding contributions to remotely sensed hyperspectral and synthetic aperture radar data processing. She was also distinguished as one of the best self-funded Chinese students abroad by the Chinese Scholar Council (in 2010). She was distinguished as a Best Reviewer of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (in 2013). One of her students received the Best Student Paper at the 2016 SPIE Remote Sensing Europe Symposium held in Edinburgh, UK for the contribution “A New Tool for Unsupervised Classification of Satellite Images Available on Web Servers: Google Maps as a Case Study“ (in September 2016). One of her students received the 2nd prize in the Student Paper competition held at the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) held in Fort Worth, Texas for the contribution “Hyperspectral Cloud Shadow Removal Based on Linear Unmixing“ (in July 2017). 

Wenzhi Liao 
FWO postdoctoral Fellow 
Ghent University, Belgium 

Wenzhi Liao is a FWO postdoctoral Fellow at Ghent University, Belgium. His current research interests include image processing, remote sensing, and pattern recognition. In particular, his interests include hyperspectral image restoration, mathematical morphology, and multisensor data fusion. He received twice the “Best Paper Challenge” Awards on both 2013 IEEE GRSS Data Fusion Contest and 2014 IEEE GRSS Data Fusion Contest. Dr. Liao is a senior member of the IEEE, serving as an Associate Editor for the IET Image Processing. 

Wei Li 
Professor, College of Information Science and Technology 
Beijing University of Chemical Technology, 

Wei Li is currently a full professor with the College of Information Science and Technology at Beijing University of Chemical Technology, Beijing, China. His research interests include hyperspectral image processing, feature extraction, image classification, anomaly detection, etc. He has published more than 100 peer-reviewed articles and conference papers. Dr. Li served as section chairs for the International Geoscience and Remote Sensing Symposium (IGARSS) 2016, the International Conference on Intelligent Earth Observing and Applications (IEOA) 2015, and the International Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (Whispers) 2015. He served as program committee for the 8th IAPR Workshop on Pattern Recognition in Remote Sensing 2014. Dr. Li is a guest editor for the special issues of Remote Sensing, Journal of Real Time Image Processing, and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). Dr. Li received the 2015 Best Reviewer from IEEE Geoscience and Remote Sensing Society (GRSS) for his service for IEEE JSTARS. 

Yongqiang Zhao 
Professor, School of Automation 
Northwestern Polytechnical University, Xian 

Yongqiang Zhao is currently a Professor in School of Automation, Northwestern Polytechnical University with research interests in polarization imaging analysis, hyperspectral image processing, deep learning, image fusion. He received the B.S. degree in automation and the M.S. and Ph.D. degrees in control theory and control engineering from the Northwestern Polytechnical University, Xi’an, China, in 1998, 2001, and 2004, respectively. From 2007 to 2009, he worked as a Postdoctoral Researcher at McMaster University, Hamilton, ON, Canada and Temple University, Philadelphia, PA, respectively. He is the Guest Editor of Remote Sensing and Journal of Sensors. 

Lianru Gao 
Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences 

Lianru Gao is currently a Professor with theKey Laboratory of Digital Earth Science, Institute of Remote Sensing andDigital Earth, Chinese Academy of Sciences (CAS).In last ten years, he led 10scientific research projects at national and ministerial levels, includingprojects by the National Natural Science Foundation of China, and by the KeyResearch Program of the CAS et al. He has published more than 110 peer-reviewedpapers, andthere are 47 journal papers included by Science Citation Index (SCI).He was coauthor of an academic book entitled “Hyperspectral ImageClassification And Target Detection”. He obtained 12 National Invention Patentsand 4 Software Copyright Registrations. He was awardedthe Outstanding Scienceand Technology Achievement Prize of the Chinese Academy ofSciences in 2016, andwas awarded the China National Science Fund for Excellent Young Scholars in 2017.He received the recognition of the Best Reviewers of the IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing in 2015. 

Sen Jia
College of Computer Science and Software Engineering, Shenzhen University

Sen Jia received his B.E. and Ph.D degrees from College of Computer Science, Zhejiang University in 2002 and 2007, respectively. He is currently a Professor with the College of Computer Science and Software Engineering, Shenzhen University, China. His research interests include hyperspectral image classification, machine learning and pattern recognition. He is a senior member of the IEEE, and received the IEEE JSTARS 2014 Best Reviewer Award. He has been supported by several talent programs, such as Guangdong Special Support Program of Top-notch Young Professionals (2016), Guangdong Foundation of Outstanding Young Teachers in Higher Education Institutions (2014), etc.

Xiaoyan Ke
Director of Nanjing Child Mental Health Research Center, Nanjing Brain Hospital
Professor, Nanjing Medical University

Dr. Ke is director of Nanjing Child Mental Health Research Center, a research professor at Nanjing Medical University. She is interest in looking for biomarkers of MRI brain imaging in autism spectrum disorders. Her research focuses on the study of the predictive index and its curative effect using the brain imaging of multivariate magnetic resonance in children with autism spectrum disorders and the establishment of early diagnosis and prediction model for children with autism spectrum disorder. She is a Key talent of Medicine in Jiangsu Province (2016), a Second level of cultivating talents of 333 program in Jiangsu Province (2016), outstanding contribution and middle-aged and young experts in Jiangsu Province (2016).

Kaiming Li
Professor of Huaxi MR Research Center
West China Hospital,Sichuan University

Dr. LI is a research professor at West China Hospital of Sichuan University. He is interested in how brain works and why doesn't. His research focuses on MRI brain imaging, including algorithm developments using DTI, fMRI, visualisation, and application of them on normal and diseased brains. He was nominated for the best student paper award in ACM 2010 and the best student paper award in ISBI 2011. He is the recipient of Outstanding Ph.D. thesis of Shaanxi Province, China in 2014.

Xi Jiang 
Associate Professor 
University of Electronic Science & Technology of China (UESTC) 

Dr. Xi Jiang is currently an associate professor of University of Electronic Science & Technology of China (UESTC). He is also affiliated with Key Laboratory for NeuroInformation of Ministry of Education in UESTC. He received his B.S. degree in Northwestern Polytechnical University in 2009, and Ph.D. degree in University of Georgia, US in 2016. He worked as a research assistant and postdoctoral associate from 2010 to 2016 in Department of Computer Science, University of Georgia, US. His research interests include brain MRI image processing and analysis via machine learning and computational modeling, and its applications in cognitive neuroscience and clinical studies. He has been serving as reviewer for more than 20 journals and conference proceedings such as NeuroImage, MICCAI, etc. He has published more than 90 journal papers and conference proceedings. He is the recipient of Chinese Government Award for Outstanding Students Abroad in 2016, Outstanding Graduate Student Award in University of Georgia, Computer Science Department in 2016, best paper candidate of IEEE International Symposium on Biomedical Imaging in 2014, Trainee Abstract Travel Award of Organization for Human Brain Mapping (OHBM) Annual Meeting in 2013, and Outstanding Graduate Award of Shaanxi Province, P.R. China in 2009. 

Dengwang Li
Vice Dean of School of Physics and Electronics
Professor, Shandong Normal University

Dr.Dengwang Li was born in Shanxi Province, China. He received his B.S. degree from Shandong University, in China. He earned his Ph.D. degree also from Shandong University, and won a joint Ph.D. program with the University of Sydney. After that, he worked in Stanford University as Postdoctoral Research Associate for 3 years. He holds the position of full professor in the school of physics and electronics at Shandong Normal University since 2016. His research focused on signal processing and biomedical engineering. Now, he is the Vice Dean of School of Physics and Electronics, Vice Dean of Institute of Biomedical Sciences, and Vice Director of Shandong Province Key Laboratory of Medical Physics and Image Processing Technology.

Yi Wu
Associate Professor
Third Military Medical University

Dr. Yi Wu is an associate professor of Institute of Digital Medicine, Third Military Medical University, and visiting scholar of University of Amsterdam in the Netherlands. He is also the deputy director of the youth committee, digital medical branch of Chinese medical association, and Committee member of Branch of Human Anatomy and Digital Anatomy of the Chinese Association of Anatomy, Committee of Digital Medical Society in Chongqing, Committee Anatomy Society in Chongqing, Committee of International Digital Medical Society and Secretary General of Anatomical Society of Military Medical Association. His main research fields include Chinese Visible Human, Digital Anatomy and Digital Medicine. As the first author, he has published more than 10 journal articles in recent years, accumulative total 15 SCI articles. He is currently in charge of 5 projects including National Key Research and Developmental Project, National Natural and Science Foundation of China, Military Medical Foundation, Chongqing High-educational Reform Project.

Jia-Sheng Rao
Assistant Professor
Beihang University

Dr. Jia-Sheng Rao received the M.Sc. degree in Biomedical Engineering from Chongqing University in 2009, and the Ph.D. degree in Biomedical Engineering from Beihang University in 2016. He is currently an Assistant Professor of Biomedical Engineering with the Department of Biomedical Engineering and the Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beihang University. His current research interests include neuroimaging by magnetic resonance imaging, assessment of central nerve system injury, medical imaging processes and analyses, and rehabilitation engineering. He is the key member of the Nation Science and Technology Program, International Cooperation in Science and Technology Projects, National Natural Science Foundations. He has published 14 papers and 8 were indexed by ISI’s SCI, with 6 papers in the JCR rank of Q1 and Q2. His h-index is 4 according to the Web of Science with 38 citations received.

Other speakers are coming soon!

2017 International Conference on Progress in Informatics and Computing.
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