Prof. Guoyin Wang
IRSS/CAAI/CCF Fellow, IEEE SM,
Vice-President of CAAI,
Chongqing University of Posts and Telecommunications,
Nan'an District, Chongqing, P. R. China, 400065
A short introduction to Prof.Guoyin Wang: Professor Guoyin Wang received the B.S., M.S., and Ph.D. degrees from Xi’an Jiaotong University, Xian, China, in 1992, 1994, and 1996, respectively. He was at the University of North Texas, and the University of Regina, Canada, as a visiting scholar during 1998-1999. Since 1996, he has been at the Chongqing University of Posts and Telecommunications, where he is currently a professor, the director of the Chongqing Key Laboratory of Computational Intelligence, the Vice-President of the University and the dean of the School of Graduate. He was the director of the Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent Technology, CAS, China, 2011-2017. He is the author of over 10 books, the editor of dozens of proceedings of international and national conferences, and has more than 300 reviewed research publications. His research interests include rough sets, granular computing, knowledge technology, data mining, neural network, and cognitive computing, etc. Dr. Wang was the President of International Rough Set Society (IRSS) 2014-2017. He is a Vice-President of the Chinese Association for Artificial Intelligence (CAAI), the President of the Chongqing Association for Artificial Intelligence (CQAAI), and a council member of the China Computer Federation (CCF). He is a Fellow of IRSS, CAAI and CCF.
PhD, FIEEE, FBCS, FICICC, FWIF, P.Eng (Canada)
President, International Institute of Cognitive Informatics and Cognitive Computing (ICICC, http://www.ucalgary.ca/icic/)
Director, Lab for Intelligent Software and Cognitive Systems
Dept. of Electrical and Computer Engineering
Schulich School of Engineering (SSE) and Hotchkiss Brain Institute (HBI)
University of Calgary
A short introduction to Prof.Yingxu Wang:
Dr. Yingxu Wang is professor of cognitive informatics, brain science, software science, and denotational mathematics. He is the founding President of International Institute of Cognitive Informatics and Cognitive Computing (ICIC). He is a Fellow of ICIC, a Fellow of WIF (UK), a P.Eng. of Canada, and a Senior Member of IEEE and ACM. He has been visiting professor (on sabbatical leaves) at Oxford University (1995), Stanford University (2008 | 2016), UC Berkeley (2008), and MIT (2012), respectively. He has been a full professor since 1994. He is the founder and steering committee chair of the annual IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC) since 2002. He is founding Editor-in-Chiefs of International Journal of Cognitive Informatics & Natural Intelligence; International Journal of Software Science & Computational Intelligence; Journal of Advanced Mathematics & Applications; and Journal of Mathematical & Computational Methods, as well as Associate Editor of IEEE Trans. on SMC - Systems. He has served as chair or co-chair of 19 IEEE or other int’l conferences and a member of IEEE Selection Committee for Senior Members in 2011.
Dr. Wang’s publications have been cited for 30,000+ times according to Google Scholar. According to Research Gate statistics, his research profile has reached top 2.5 per cent worldwide, top one to 10 (timely vary in the range) at the University of Calgary, and the most read work in neural networks. He is the recipient of dozens international awards on academic leadership, outstanding contributions, best papers, and teaching in the last three decades.
Prof. Tianrui LI, PhD
Director of Key Lab of Cloud Computing and Intelligent Technology, Sichuan Province
Deputy Dean of Institute of Artificial Intelligence
School of Information Science and Technology
Southwest Jiaotong University
Chengdu 611756, China
Tianrui Li received his B.S. degree, M.S. degree and Ph.D. degree from the Southwest Jiaotong University, China in 1992, 1995 and 2002 respectively. He was a Post-Doctoral Researcher at Belgian Nuclear Research Centre (SCK • CEN), Belgium from 2005-2006, a visiting professor at Hasselt University, Belgium in 2008, the University of Technology Sydney, Australia in 2009 and the University of Regina, Canada in 2014. And, he is presently a Professor, Deputy Director of Institute of Artificial Intelligence, Deputy Director of National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and the Director of the Key Lab of Cloud Computing and Intelligent Technique of Sichuan Province, Southwest Jiaotong University, China.
Since 2000, he has co-edited 6 books, 11 special issues of international journals, 18 proceedings, received 17 Chinese invention patents and published over 360 research papers (e.g., Artificial Intelligence, IEEE Transaction on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Image Processing, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Information Forensics & Security, IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Communications, IEEE Transactions on Cloud Computing) in refereed journals and conferences (e.g., ACL, IJCAI, KDD, UbiComp, WWW, ICDM, CIKM, EMNLP). 5 papers were ESI Hot Papers and 16 papers was ESI Highly Cited Papers. His Google H-index is 50. He was recognized as the Top 1% Scientists (ranked 397/3664) in the field of Computer Science based on Thomson Reuter's Essential Science Indicators (ESI) in Jan. 2021.
He serves as Editor-in-Chief of Human-Centric Intelligent Systems, area editor of International Journal of Computational Intelligence Systems (SCI, IF: 1.838), editors of Knowledge-based Systems (SCI, IF: 5.921) and Information Fusion (SCI, IF: 13.669), Associate Editor of ACM Transactions on Intelligent Systems and Technology (SCI, IF: 2.672), etc. He has served as KDD2018 Media & Publicity Chair, KDD2017 Sponsor Chair, IEEE ICCC2015-2018 chairs, ICCCBDA2016-2020, ISKE2007-2020, CRSSC2015, CWI2014, JRS2012 program chairs, IEEE HPCC 2015, GrC 2009 program vice chairs and RSKT2008, FLINS2010 organizing chairs, etc. and has been a reviewer for several leading academic journals. He is an IRSS fellow and steering committee chair (2019-2020), an IEEE CIS Emergent Technologies Technical Committee member (2019-2020), an IEEE CIS Senior Members Committee member (2018-2020), an IEEE CIS ConfCom - Bids Sub-Committee member (2021-2022), a distinguished member of CCF, a senior member of ACM, IEEE, CAAI, ACM SIGKDD member, Chair of IEEE CIS Chengdu Chapter (2013-2017), Treasurer of ACM SIGKDD China Chapter and CCF YOCSEF Chengdu Chair (2013-2014).
Over sixty graduate students (including 9 Post-Docs, 26 Doctors) have been trained. Their employment units include Microsoft Research Asia, Alibaba DAMO Academy, Sichuan University, Huawei, JD.com, Baidu, Alibaba and Tencent. They have received 3 "Si Shi Yang Hua" Medals, Best Papers/Dissertation Awards 20 times, Champion of Sina Weibo Interaction-prediction at Tianchi Big Data Competition (Bonus 200,000 RMB), Second Place of Social Influence Analysis Contest of IJCAI-2016 Competitions and Second Place of Weather forecast Contest of AI Challenger 2018.
AXA professor of Remote Sensing
Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, PR China.
A short introduction to Prof.Jocelyn Chanussot：Jocelyn Chanussot (M’04–SM’04–F’12) received the M.Sc. degree in electrical engineering from the Grenoble Institute of Technology (Grenoble INP), Grenoble, France, in 1995, and the Ph.D. degree from the Université de Savoie, Annecy, France, in 1998. Since 1999, he has been with Grenoble INP, where he is currently a Professor of signal and image processing. His research interests include image analysis, hyperspectral remote sensing, data fusion, machine learning and artificial intelligence. He has been a visiting scholar at Stanford University (USA), KTH (Sweden) and NUS (Singapore). Since 2013, he is an Adjunct Professor of the University of Iceland. In 2015-2017, he was a visiting professor at the University of California, Los Angeles (UCLA). He holds the AXA chair in remote sensing and is an Adjunct professor at the Chinese Academy of Sciences, Aerospace Information research Institute, Beijing.
Dr. Chanussot is the founding President of IEEE Geoscience and Remote Sensing French chapter (2007-2010) which received the 2010 IEEE GRS-S Chapter Excellence Award. He has received multiple outstanding paper awards. He was the Vice-President of the IEEE Geoscience and Remote Sensing Society, in charge of meetings and symposia (2017-2019). He was the General Chair of the first IEEE GRSS Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote sensing (WHISPERS). He was the Chair (2009-2011) and Cochair of the GRS Data Fusion Technical Committee (2005-2008). He was a member of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society (2006-2008) and the Program Chair of the IEEE International Workshop on Machine Learning for Signal Processing (2009). He is an Associate Editor for the IEEE Transactions on Geoscience and Remote Sensing, the IEEE Transactions on Image Processing and the Proceedings of the IEEE. He was the Editor-in-Chief of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2011-2015). In 2014 he served as a Guest Editor for the IEEE Signal Processing Magazine. He is a Fellow of the IEEE, a member of the Institut Universitaire de France (2012-2017) and a Highly Cited Researcher (Clarivate Analytics/Thomson Reuters, since 2018).
Talk Title: Deep learning for the analysis of Earth Observation remote sensing data
Remote sensing, using satellite, airplane or drone based platforms plays a critical role for the monitoring of the environment with countless applications, and a skyrocketing number of missions currently in operation. This leads to gigantic amounts of data, with multiple spatial or spectral resolutions, from various modalities (heterogeneous data ranging from Lidar, radar to optical, multi- or hyperspectral data). In order to fully exploit the information contained in these data, artificial intelligence, and more precisely deep learning techniques, offer ground-breaking performances. In this talk we will review some key challenges associated with the analysis of remote sensing data and see how deep learning algorithms can tackle many challenging tasks. We will stress the specific nature of the problems and of the data, making them significantly different from standard multimedia and computer vision tasks.
Ahmad P. Tafti, PhD
University of Southern Maine
A short introduction to Dr Ahmad P. Tafti:
Dr Ahmad P. Tafti is a senior AI scientist with deep passion for health data science with better patient diagnosis, prognosis, and treatment using big multiple clinical data and novel computational algorithms. He earned his PhD in Computer Science from University of Wisconsin-Milwaukee and since then, he has been on a quest to explore and solve problems that are worth it, and make the most positive impact on people’s lives. He has been successfully leveraging his background in descriptive and predictive machine learning modeling, text and image analysis, and big data analytics to find solutions to a diverse range of problems in healthcare informatics. He is passionate about diverse biomedical data sources along with artificial intelligence methods and their applications in healthcare. His research contributions demonstrate an extensive research experience in conducting computational mechanisms with a key focus on machine learning components and deep learning strategies.
!!! ISCAI 2020 has been held virtually on Nov. 14-16, 2020.
!!! ISCAI 2020 will be held at University of Newcastle, in Newcastle upon Tyne, United Kingdom during Aug. 7-9, 2020.
!!! The 1st ISCAI has been held at The University of British Columbia | Vancouver Campus, in Vancouver, Canada on Aug. 23-25, 2019.
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