Invite Speakers

Asst. Prof. Cong Wang

Northwestern Polytechnical University, China

Title: Fuzzy Clustering for G-image Segmentation
Classic image segmentation involves an analysis or manipulation of image data defined in regular Euclidean domains. In recent years, with rapid advances in information and computer technology, image data defined in irregular domains including complex topologies have received much attention. Graphs positioned in high dimensional spaces offer a capacity to model such data and complex interactions among them. Let us assume for now that an image defined on a graph can be modelled as a real-valued function residing on vertices. It can be simply referred to a G-image. It can be represented through various interacting objects, such as colors, labels, and coordinates. In conclusion, G-images extend the universe of discourse of classical image processing. In other words, the scope of investigation on image processing is extended from Euclidean domains to graph ones. Due to the nonlinear nature of graphs, it is challenging to design efficient computing methods for manipulating and processing G-images. To do so, this speech discusses how to improve fuzzy clustering methods and then apply them to G-image segmentation.

Biodata: Cong Wang received the B.S. degree in automation and the M.S. degree in mathematics from Hohai University, Nanjing, China, in 2014 and 2017, respectively. He received the Ph.D. degree in mechatronic engineering from Xidian University, Xi'an, China in 2021.

He is now an assistant professor in School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi‟an, China. He was a Visiting Ph.D. Student at the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada, and the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. He was also a Research Assistant at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His current research interests include information computation, fuzzy theory, wavelet analysis, as well as image processing.

Dr. Wang has over 30+ papers (10+ in IEEE TRANSACTIONS) and host/participate in 10+ research projects (over 2.5 million RMB). He also has a book and a chapter to be published. He is funded by the China National Postdoctoral Program for Innovative Talents and the Excellent Chinese and Foreign Youth Exchange Program of the China Association for Science and Technology. He serves as a Frequent Reviewer of 40+ international journals, including a number of the IEEE TRANSACTIONS and many international conferences. He is a member of Institute of Electrical and Electronics Engineers (IEEE), Chinese Institute of Electronics (CIE), China Computer Federation (CCF) and China Society for Industrial and Applied Mathematics (CSIAM).