Keynote Speakers

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.

Invited Speakers

Assoc. Prof. Emanuel Grant
University of North Dakota, USA
Director of Online Graduate Cyber Security Program

Biography: Emanuel S. Grant received his Ph.D. from Colorado State University, MCS from Florida Atlantic University and B.S. from the University of the West Indies, all in Computer Science. Since 2008, he has been an Associate Professor in the Department of Computer Science at the University of North Dakota, where he started as an Assistant Professor in 2002. His research interests are in software development methodologies, formal specification techniques, domain-specific modeling languages, model-driven software development and software engineering education. Dr. Grant interned at the NASA Ames Research Center in Mountain View, California, where he conducted research on the application of formal specification techniques for software system verification and validation. He has worked on the UND ISSAC (International Space Station Agriculture Camera) system design and implementation. ISSAC was crafted to exacting NASA space flight standards by students from UND and capture on-demand images of land and other topographic features across the upper Midwest. These images were used as a decision support system resource by farmers, ranchers, tribal resource managers and researchers. Among many other uses, ISSAC multispectral images were used to analyze crops, forest resources and other plants. Educators also had access to these images for in-classroom use as part of environmental, geography and related curricula. Another major research project that Dr. Grant participated in was the UND – UAS Risk Mitigation Project. This was a project awarded to UND by the Department of Defense to develop a proof-of-concept air truth system, which monitors the operation of UAVs in the US National Airspace.

Prof. Kehua Guo
Central South University, China

Speech Title: Machine Learning Method for Weak Sample Multimodal Data

Biography: Dr. Kehua Guo is a Professor at the School of Computer Science and Engineering at Central South University. He was selected as The National Youth Talent Support Program, Hunan Furong scholar and got the Hunan Outstanding Youth Fund. Dr. Guo received his Ph.D. in Computer Application Technology from Nanjing University of Science and Technology in 2008. He has been selected as the Chairman of computer education special committee of Hunan Higher Education Society and Secretary General of Hunan Computer Education Instruction Committee. He has long been engaged in research on artificial intelligence, big data, intelligent computing, etc. He has published more than 100 research papers in international journals or conferences. He owns 16 patents for the invention of the country. Some of his research findings have been successfully applied in industry. He is a member of the procedure Committee of many international conferences and serves as guest editors in many well-known SCI journals.

Assoc. Prof. H. Y. Fu
Tsinghua University, China

Speech Title: High-speed Two-dimensional Spectral-scanning Coherent LiDAR System Based on Tunable VCSEL

Biography: Dr. H. Y. Fu is an Associate Professor at the Tsinghua Shenzhen International Graduate School at Tsinghua University. He is also the Director of Nano-fabrication Platform and Deputy director of Research Office. He is the session chair of many international conferences. He serves as a reviewer of more than 20 internationally well-known academic journals such as Nature; guest editor of Photonics and special editor of Biosensors. He has published more than 270 papers in international high-level conferences/journals, including Nature, Nano Energy cover article, Photonics Research editor-in-chief's recommendation article, etc. He studied abroad from 2003 to 2010, and joined Huawei Central Research Institute in 2010 to work on optical communications and silicon-based optoelectronics. In 2017, he joined Tsinghua University to conduct research on optoelectronic integration and communication and sensing applications, and in the field of LIDAR, he developed several high-performance spectral scanning FMCW LIDAR systems, and was invited by Nature to publish an important review paper.