Keynote Speakers

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  Carlos M. Travieso-González

  Research field：Biometrics, Biomedical signals and images, Data mining, Classification system, Signal and image processing, Machine learning, and Environmental intelligence.

  Professor, University of Las Palmas de Gran Canaria, Spain.

  Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co- editor of 27 proceedings books, guest editor for 8 JCR- ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR– ISI- Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series.He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (& lt; 70)and conferences (& lt; 250) since 2001.
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  Mohamad Sawan

  Research field：Biomedical research and innovation, Neural technology.

  Professor, Westlake University, China.

  Mohamad Sawan (Fellow, IEEE) received the Ph.D. degree from the University of Sherbrooke, Canada. He is currently a Chair Professor with Westlake University, Hangzhou, China; and an Emeritus Professor with Polytechnique Montreal, Canada. He is the Founder and the Director of the Cutting-Edge Net of Biomedical Research and INnovation (CenBRAIN), Westlake University. He is the Founder of the Polystim Neurotech Laboratory. He has published more than 900 peer-reviewed papers, two books, 12 book chapters, 12 patents, and 15 other patents are pending. He is a fellow of the Canadian Academy of Engineering, a fellow of the Engineering Institutes of Canada, and an Officer of the National Order of Quebec. He is the Co-Founder of the International IEEE-NEWCAS and the International IEEE-BioCAS Conference. He was awarded the Canada Research Chair in Smart Medical Devices (2001–2015) and was leading the Microsystems Strategic Alliance of Quebec, Canada (1999–2018). He was the General Chair of both the 2016 IEEE International Symposium on Circuits and Systems and the 2020 IEEE International Medicine, Biology and Engineering Conference (EMBC). He is a Co-Founder, an Associate Editor, and was the Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems, from 2016 to 2019.
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  Junyi Liang

  Research field：Fluorescent protein engineering, Genetically encoded biosensor development, Fluorescence cross-correlation spectroscopy.

  Senior Technologist, Lerner Research Institute, Cleveland Clinic, USA.

  Dr. Junyi Liang obtained PhD from the Chinese University of Nanking. His work there has been described as “unique” by globally-renowned biosensor developer. And In 2014, he joined the Ishikawa Prefecture’s Bio-AFM center directed by Prof. Toshio Ando, he took part in one of Japan’s national grants back then – the JST/CREST, where he carried out fast-scanning atomic force microscopy work. He then left Japan for the states and participated in NIH grant R01HL122827 in the creation of optical biosensor mice for longitudinal studies of vascular function at UMB. After these stints in basic science research, he helped form and conduct collaboration between a Korean pharmaceutical company and Akron University, with the potential commercialization of novel compounds as cancer drugs on the horizon. As of now in the month or so leading up to this conference, he is being recruited to Cleveland Clinic and on way to onboard the clinic’s Lerner Research Institute as a senior technologist, continuing his endeavor in the greater basic science.
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  Alireza Razzaghi

  Research field： Epidemiology, Artificial intelligence, Machine learning.

  Assistant Professor, Tabriz University of Medical Sciences, Iran.

  Alireza Razzaghi received the M.Sc. degree in 2013 in Kerman University of Medical Sciences, Kerman, Iran; and Ph.D. degree in 2019 at Shahid-Beheshti University of Medical Sciences, Tehran, Iran. He is an assistant professor of Tabriz University of Medical Sciences, Tabriz, Iran. His research lines are epidemiology, artificial intelligence, machine learning. He has published more than 50 papers as corresponding author and co-author.