Yan Pang, Ph.D., serves as an Associate Professor at Guangzhou University after earning his doctoral degree from the University of Colorado, USA. Prior to his present position, he was an instructor at the Metropolitan State University of Denver and the University of Colorado Denver. He also gained industry experience as a Senior Machine Learning Engineer at Moffett AI, a well-known Silicon Valley company. His primary research revolves around computer vision, where he conducts systematic theoretical research and practical applications, particularly in image segmentation, human posture estimation, behavior recognition and analysis, graph neural networks, and model compression. Dr. Pang's significant contributions have been applied practically in diverse sectors such as medicine, agriculture, and security, making a substantial impact in their intelligent evolution.
Dr. Dongyang Kuang is Associate Professor at the School of Mathematics (Zhuhai), Sun Yat-sen University. Dr. Kuang's recent research interest is mainly on mathematical data analysis, modeling and interpretable algorithms/applications in interdisciplinary sciences. Dr. Kuang is currently funded by the National Natural Science Foundation of China and was participated in research projects funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the U.S. Department of Energy (DOE). He has published research papers in various academic journals such as Pattern Recognition, SIAM Journal on Imaging Sciences, Thermochimica Acta, Applied Intelligence, Physics of Plasmas, and in international academic conferences and workshops organized by MICCAI and IEEE. Dr Kuang also serves as a reviewer for multiple journals such as IEEE TMI, IEEE JHBI, CMIG, MSLT, JNE, et al.
Dr. Xinguang Cui is an associate professor in the Huazhong University of Science and Technology, China. He is the lead of the Lab of respiratory multiphase flows. He received a bachelor degree in Beihang University, China at 2005, master degree in Tsinghua University, China at 2008 respectively. At 2012, he received his Ph.D degree in the subject of fluid mechanics from University of Heidelberg, Germany at 2012. Afterwards, he ever conducted research work related to numerical modeling the areas of fluid mechanics, atmosphere science and bio-energy in University of Heidelberg, Nanyang Technological University and Lawrence Berkeley National Lab Until 2019. Presently, he is interested in applying in numerical methods to solve industrial and scientific problems in the disciplines of medical industry, indoor environment and aerospace, specially related to respiratory multiphase flows. Until now, he has published more than 50 peer-reviewed journal paper, and more than 20 conference papers.
Yali Yuan (Member, IEEE) received the M.Sc. degree from the University of Lanzhou, Lanzhou, China in 2015, and the Ph.D. degree from the University of Gottingen, Germany in 2018, where she is currently working as a Postdoctoral Fellow. Apart from the individual research work, she is also responsible of preparing project applications, mentoring Ph.D. candidates and bachelor's/master's students, teaching, conducting seminars and handling industrial partners. Her research interests include various topics related to wireless networks and security.
Yachao Yuan, an Assistant Professor in School of future Science and Engineering, Soochow University and a Master’s Supervisor. She earned her Ph.D. from the University of Göttingen, Germany, and conducted postdoctoral research at Lund University, Sweden. She has published 17 papers, including articles in top-tier SCI Q1 journals/conferences such as Computer-Aided Civil and Infrastructure Engineering, IEEE Internet of Things Journal, and IEEE INFOCOM. Her publications have accumulated an impact factor of nearly 100 and received over 500 citations, with a Google Scholar h-index of 11. Dr. Yuan has presided over the National Natural Science Foundation of China Youth Science Fund project and an open fund project from Southeast University. She has also played a key participatory role in projects supported by the Swedish Foundation for Strategic Research and the EU Marie Skłodowska-Curie Actions. Her research interests are artificial intelligence, distributed computing, security and privacy.
Dr. Mugahed A. Al-Antari is an Assistant Professor in the Department of Artificial Intelligence and Data Science, Daeyang AI Center, College of Software & Convergence Technology, Sejong University, Seoul 05006, Republic of Korea. Dr. Al-Antari has over seven years of teaching experience in the Departments of Biomedical Engineering, Artificial Intelligence and Data Science, and Software at various public and private universities. He is currently employed at Sejong University. Dr. Al-antari currently leads domestic and international (Korea-Turkey) collaborative research projects funded by the government of the Republic of Korea.
Dr. Al-Antari's recent AI-based publications have garnered significant attention from international journal editorials and are recognized by distinguished editorial boards as Cornerstone of the AI modern medicine. Dr. Al-antari has been selected in August 2024 for “World's Top 2% Scientists” by the database analysis of Elsevier and Stanford University.
Dr. Al-Antari has been a member of IEEE and IEEE EMBS since 2014 and his current research interests include Explainable Artificial Intelligence (XAI) with LLM, deep learning, machine learning, pattern recognition, medical signal and image processing, medical imaging of dual-energy X-ray absorptiometry (DXA), and AI-based NLP for healthcare applications.
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