Assoc. Prof. Nianyin Zeng

 Xiamen University, China

Speech title：

Intelligent analysis method and application towards the imperfect data in complex scenes

Abstract:

The data generated in complex industrial scenes are inevitable to contain some deficiencies, which leads to the imperfect property of the data, and currently, how to sufficiently mine, analyze, and exploit those imperfect data has become a hot research spot. In this report, the imperfect data-oriented modeling, learning, and optimization theory with strong robustness and generalization ability are studied, which aims at solving the bottleneck problems of analyzation and decision making, and the applications of related theoretical methods in representative industrial, medical, and aeronautical engineering scenes are introduced. 

Biography:

Nianyin Zeng is currently an Associate Professor with the Department of Instrumental and Electrical Engineering of Xiamen University. He received the B.Eng. degree in electrical engineering and automation in 2008 and the Ph.D. degree in electrical engineering in 2013, both from Fuzhou University. From October 2012 to March 2013, he was a RA in the Department of Electrical and Electronic Engineering, the University of Hong Kong. From September 2017 to August 2018, he was an ISEF Fellow founded by the Korea Foundation for Advance Studies and also a Visiting Professor at the Korea Advanced Institute of Science and Technology (KAIST).

His current research interests include intelligent data analysis, machine learning and computer vision, computational intelligent, system modeling and applications. He has published more than 80 research papers in referred journal and conferences as well as 13 patents. By Google Scholar, his publications have been cited by more than 8,000 times with H-Index 38.

Dr. Zeng is currently serving or has served as an Associate Editor for Neurocomputing, Frontiers in Medical Technology, and Evolutionary Intelligence, an Editorial Board member for Computers in Biology and Medicine, Biomedical Engineering Online, Mathematical Problems in Engineering, Journal of Electronics & Information Technology, and Journal of Image and Graphics, and also Guest Editors for Frontiers in Neuroscience and Frontiers in Medical Technology. He has also served as program committee members for a number of premier international conferences related to intelligent data analysis, including EAI ICMTEL, ACAIT, ICCSE, etc.

Dr. Zeng has received a number of prestigious awards, including High-Level Talent of Fujian Province, Key-Talent of Xiamen City, Nanqiang Young-Top-Talent of Xiamen University, four Provincial Natural Science Awards, Invention and Entrepreneurship Achievement Award by the China Invention Association, and Distinguished Reviewers of Computers in Biology and Medicine, Neurocomputing, and Chinese Journal of Scientific Instrument.