Keynote Speakers | 主旨报告



Prof. Hao Ying
Wayne State University, USA
IEEE Fellow

Biography: Dr. Hao Ying (应浩 in Chinese) is Professor with the Department of Electrical and Computer Engineering, Wayne State University, Michigan, USA. He has published one single-author research monograph/advanced textbook entitled Fuzzy Control and Modeling: Analytical Foundations and Applications (IEEE Press, 2000, 342 pages; foreword by Professor Lotfi A. Zadeh), which contains solely his own research results. He has coauthored another book titled Introduction to Type-2 Fuzzy Logic Control: Theory and Applications (IEEE Press and John Wiley & Sons, Inc., 2014). In addition, he has published 127 peer-reviewed journal papers, over 160 peer-reviewed conference papers, and 6 book chapters. Prof. Ying's work has been highly cited - his Google Scholar h-index is 51 with the total number of citations for all his publications being over 10,000. He is ranked among top 25% of the 100,000 most-cited authors across all 22 scientific fields (176 subfields) which are selected from nearly 7 million scientists worldwide*. Professor Ying is serving as an Associate Editor or a Member of Editorial Board for 13 international journals, including the IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Systems, Man, and Cybernetics: Systems. He served in the same role in the past for seven other international journals. He serves as a Member of the Fellows Committee of the IEEE Computational Intelligence Society in 2020 and 2021. He served the same committee of the IEEE Systems, Man, and Cybernetics Society in 2016, 2017, and 2020. He has been serving as a Member of the Fuzzy Systems Technical Committee of the IEEE Computational Intelligence Society since 2008 (except 2014). He was elected to serve as a Board Member of the North American Fuzzy Information Processing Society for two terms (2005-2008 and 2008-2011). He served as Program Chair/Co-Chair for four international conferences. He served as the Publication Chair for the 2000 IEEE International Conference on Fuzzy Systems and the Competition Chair for this annual conference 2009-2011. He also served as a Program/Technical Committee Member for over 130 international conferences. He is an IEEE Fellow.



Prof. Guofan Shao
Purdue University, USA

Speech Title: Improving Image Classification Evaluation for the Reproducibility of Machine Learning Models

Biography: Dr. Guofan Shao is affiliated with Department of Forestry and Natural Resources, Purdue University, USA. He has had 25 years of experience in remote sensing research and teaching at Purdue University. Prior to Purdue University, Dr. Shao worked as Post-Doc and Research Scientist at the University of Virginia, USA. His research interests include image data classification, evaluation, and error propagation. Dr. Shao conducts research projects for the temperate forest ecosystems in the Midwest of the United States, and studies land use change, urbanization, and forest conservation in various regions around the world. He has developed a transformative metric called image classification efficacy (ICE) to strengthen the evaluation of classification performance in various academic fields. Dr. Shao has published over 200 academic papers, including two review papers on drone remote sensing applications in forests and the use of NDVI, which have been the Highly Cited Papers since their publications. Dr. Shao was invited to contribute two chapters (Satellite Data and Remote Sensing) in Encyclopedia of Environmetrics (Second Edition) in 2012 and 2016, and one chapter (Optical Remote Sensing) in International Encyclopedia of Geography in 2014 and 2019.