Assoc. Prof. Mu-Yen Chen
National Cheng Kung University
Speech Title: The Deep Learning Approach for COVID-19 Diagnosis System Construction
It is worth noting that this 21st century has experienced so many economic, social, cultural and political turbulences throughout the world. The 2019 novel coronavirus (COVID-19) outbreak has been regarded by the World Health Organization (WHO) as a public health crisis of global concern. Nowadays, the chest X-ray (CXR) and chest computed tomography (CT) are a more effective imaging technique for diagnosing lunge related problems. Deep learning has been more mature in the field of supervised learning, but other areas of machine learning have just started, especially for the areas of unsupervised learning and reinforcement learning. Deep learning has very good performance in speech recognition and image recognition. By using deep learning approaches to diagnosis the COVID-19 and achieve better cure and treatment.
Dr. Mu-Yen Chen is working as an Associate Professor at National Cheng Kung University, Taiwan. Previously, he was a Professor of Information Management at the National Taichung University of Science and Technology, Taiwan. He received his Ph.D. in Information Management from National Chiao-Tung University in Taiwan. His current research interests include artificial intelligence, soft computing, bio-inspired computing, data mining, deep learning, context-awareness, and machine learning, with more than 100 publications in prestigious venues such as IEEE Transactions on Fuzzy Systems, IEEE IoT, IEEE Sensors, IEEE Access, ACM Transactions on Internet Technology, Applied Soft Computing, Soft Computing, Neurocomputing, Computer Networks, and FGCS. He has served as Editor in Chief on International Journal of Big Data and Analytics in Healthcare, and Associate Editor of IEEE Access, Applied Soft Computing, Granular Computing, Human-centric Computing, and Information Sciences, Journal of Medical and Biological Engineering, International Journal of Social and Humanistic Computing and Journal of Information Science and Engineering while he is an editorial board member on several SCI journals.