Organization: National Chiao Tung University
Email: vtseng@cs.nctu.edu.tw
Title: Deep Mining and Learning of Big Heterogeneous Biomedical Data for Smart Medicine
Abstract
In biomedical domains, large-scale heterogeneous types of data, including medical images, vital signs, electronic medical records, genome, etc., have been collected, forming the big biomedical data. Deep mining and learning of these big heterogeneous biomedical data can enable innovative Medical AI applications with rich research lines/challenges underlying. In this talk, I will introduce some of our recent developments and ongoing projects on the above topic, especially in diagnostic decision support and disease early detection by using advanced data mining/deep learning techniques of image analysis (for medical images), multivariate time-series analysis (for vital signs like ECG, EEG), patterns mining (for EMR), text mining (for medical notes), as well as data fusion methods. Some innovative and interdisciplinary applications on Smart Medicine based on the developed techniques, as well as the underlying challenging issues, will also be introduced.
Biography
Vincent S. Tseng is currently a Distinguished Professor at Department of Computer Science and Director for Institute of Data Science and Engineering in National Chiao Tung University, Taiwan. He received the PhD in Computer Science from National Chaio Tung University in 1997 and then joined EECS Computer Science Division of UC Berkeley as a research fellow during 1998-1999. He was the Chair for IEEE Computational Intelligence Society Tainan Chapter during 2013-2015 and the President of Taiwanese Association for Artificial Intelligence during 2011-2012. Dr. Tseng has a wide variety of research interests covering data mining, machine learning, biomedical informatics, mobile sensing technologies. He has published more than 350 research papers as well as 15 patents held and filed. He has been on the editorial board of a number of top journals like TKDE, TKDD, DMKD, JBHI, etc and organizing/program committee for leading conferences like KDD, ICDM, PAKDD, AAAI. He has also been overseeing the directions and architecture of big data/AI technical platforms and interdisciplinary applications for governmental and industrial units in Taiwan. He is Senior Member of IEEE and ACM, as well as recipient of 2014 K. T. Li Breakthrough Award, 2018 IT Elite Award, 2015 Outstanding Research Award and 2018 FutureTech Breakthrough Award by Ministry of Science and Technology Taiwan.
