信息工程学院海外专家讲座:Data Mining, Deep Learning, and Explainable Artificial Intelligence Framework for Non-Communicable Diseases

报告题目:Data Mining, Deep Learning, and Explainable Artificial Intelligence Framework for Non-Communicable Diseases

报告专家:Keun Ho Ryu

报告时间:9月25日13:10

报告地点:信息楼244


报告摘要:

Recently, the research of big data and artificial intelligence has been applied to new applications to improve our lives convenient. The purpose of this special lecture is to show how the theory learned at school is applied in practical applications. The theoretical basis of Data Mining (DM) and Deep Learning (DL) will be introduced in this lecture. The XAI(Explainable Artificial Intelligence) Framework for Non-Communicable Diseases we proposed will be introduced as the application of deep learning.


专家简介:

Keun Ho Ryu (M’82, LM’19) received the Ph.D. degree in computer science and engineering from Yonsei University, South Korea, in 1988. He has served at the Reserve Officers’ Training Corps (ROTC) of the Korean Army. He was with The University of Arizona, Tucson, AZ, USA, as a Postdoctoral and a Research Scientist, and also with the Electronics and Telecommunications Research Institute, South Korea, as a Senior Researcher. 

He is currently a Professor with the Faculty of Information Technology, Ton Duc Thang University, Vietnam, as well as an Emeritus and Endowed Chair Researcher with Chungbuk National University, South Korea, and also an Adjunct Professor with Chiang Mai University, Thailand. He is also an Honorary Doctorate of the National University of Mongolia. He is not only the Leader of the Database and Bioinformatics Laboratory, South Korea, since 1986, but also the co-leader of Research Group, Data Science Laboratory, Vietnam, since March 1, 2019. He is the former Vice-President of the Personalized Tumor Engineering Research Center. 

He has published over 1000 referred technical articles in various journals and international conferences, in addition to authoring a number of books. His research interests include databases, big data analysis, data mining, deep learning, biomedical informatics, and bioinformatics. He has been a member of the IEEE in 1982 and a member of the ACM since 1983. He has served on numerous program committees, including roles as the Demonstration Co-Chair of the VLDB, as the Panel and Tutorial Co-Chair of the APWeb, and as the FITAT General Co-Chair. As supervisor to doctoral candidates, he directed 112 doctoral dissertations, and produced 112 Ph.Ds. He has found the FITAT in 2007 and been taken care of FITAT since 2007.


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