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Dr. Zhao is a Full Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University (CSU). He earned his Ph.D. at University of California, Santa Barbara in 2002. Dr. Zhao has a Bachelor of Science degree in Physics in 1990, and a Master of Science degree in Physics in 1993, both at Peking University, Beijing, China. Dr. Zhao also received a Master of Science degree in Electrical and Computer Engineering in 1998 at University of California, Santa Barbara. Dr. Zhao joined CSU faculty in 2004. He is currently serving as the director of the Master of Science in Electrical Engineering, and the Chair of the Graduate Program Committee in the Department of EECS, the ABET coordinator for the BS in Computer Science Program, and a member of the faculty senate at CSU. Dr. Zhao has authored a research monograph titled: “Building Dependable Distributed Systems” published by Scrivener Publishing, an imprint of John Wiley and Sons. Furthermore, Dr. Zhao published over 150 peer-reviewed papers on fault tolerant and dependable systems (three of them won the best paper award), computer vision and motion analysis, physics, and education. Dr. Zhao’s research is supported in part by the US National Science Foundation, the US Department of Transportation, Ohio State Bureau of Workers’ Compensation, and by Cleveland State University. Dr. Zhao has served on the organizing committee and the technical program committee for numerous international conferences. Dr. Zhao is an Associate Editor for IEEE Access, an Academic Editor for PeerJ Computer Science, and is a member of the editorial board for International Journal of Parallel Emergent and Distributed Systems, International Journal of Distributed Systems and Technologies, International Journal of Performability Engineering, International Journal of Handheld Computing Research. Dr. Zhao is a senior member of IEEE.

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Xiong Luo received the Ph.D. degree from Central South University, China, in 2004. He currently works as a Professor in the School of Computer and Communication Engineering, University of Science and Technology Beijing, China. His current research interests include machine learning, cloud computing, and computational intelligence. He has published extensively in his areas of interest in journals, such as the Future Generation Computer Systems, Computer Networks, IEEE Access, and Personal and Ubiquitous Computing.

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Dr. Chaomin Luo received his Ph.D. in Department of Electrical and Computer Engineering at University of Waterloo, Canada in 2008, where he was awarded Postgraduate Scholarship (PGS) from the Natural Sciences and Engineering Research Council (NSERC) of Canada; received the Best Student Paper Presentation Award at the SWORD’2007 Conference, earned his M.Sc. in Engineering Systems and Computing at University of Guelph, Canada, and his B.Eng. degree in Radio Engineering from Southeast University, China. He is currently an Associate Professor, Department of Electrical and Computer Engineering, at University of Detroit Mercy, Michigan, USA. He was awarded Faculty Research Awards in 2009, 2010, 2014, 2015, and 2016 at University of Detroit Mercy, Michigan, USA. His research interests include engineering education, robotics and automation, control, autonomous systems, computational intelligence and machine learning.

Dr. Luo was the General Co-Chair of the 1st IEEE International Workshop on Computational Intelligence in Smart Technologies (IEEE-CIST 2015), and Journal Special Issues Chair, IEEE 2016 International Conference on Smart Technologies (IEEE-SmarTech), USA. He was the Publicity Chair in the 2011 IEEE International Conference on Automation and Logistics. He was on the Conference Committee in the 2012 International Conference on Information and Automation and International Symposium on Biomedical Engineering and also the Publicity Chair in the 2012 IEEE International Conference on Automation and Logistics. Also, he was Chair and Vice Chair of IEEE SEM - Computational Intelligence Chapter and is currently a Chair of IEEE SEM - Computational Intelligence Chapter and Chair of Education Committee of IEEE SEM.

Dr. Luo serves as the Editorial Board Member of International Journal of Complex Systems – Computing, Sensing and Control; Associate Editor of International journal of Robotics and Automation (IJRA); and Associate Editor of International Journal of Swarm Intelligence Research (IJSIR). He has organized and chaired several special sessions on topics of Intelligent Vehicle Systems and Bio-inspired Intelligence in IEEE reputed international conferences such as IEEE-IJCNN, IEEE-SSCI, etc. He was the Panelist in the Department of Defense, USA, 2015-2016, 2016-2017 NDSEG Fellowship program, and National Science Foundation, USA, GRFP program, 2016-2017.

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Professor Yonghong Peng is a Professor of Data Science, and the Leader of Data Science Research at the University of Sunderland. His research include Data Science Foundation and Big Data Innovation including Education Data Analytics, Smart Cities, Business Intelligence, Intelligent Manufacturing and Industry 4.0, Creative industries, Sports, Social Sciences etc. His team developed innovative integrative analytics approaches that have been successfully applied for the discovery of key signatures of human cancers e.g. melanoma and triple-negative breast cancer (TNBC). He is currently acting the Chair for Big Data Task Force (BDTF) of IEEE Computational Intelligence Society (IEEE CIS) and is a member of Data Mining and Big Data Analytics Technical Committee of IEEE CIS. Prof Peng is an associate editor for IEEE Transaction on Big Data, a member of the editorial board of the International Journal of Big Data Intelligence, and an academic editor of the PeerJ and PeerJ Computer Science. Prof Peng has served on the organising committee and the technical program committee for numerous international conferences.

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