About Me

I work with information processing and cognitive computing in brain-inspired neuronal networks, trying to reveal and utilize mechanisms how biological systems give rise to various cognitive abilities. My main research topics include synaptic learning in both single and multilayer neural networks, sensory coding, cognitive memory, neural circuits, system modeling, as well as applied development of visual and speech processing systems.

I use analytical and numerical modeling techniques to identify and understand the computational principles underlying spike-based information processing and learning in central nervous systems, and to explore how these principles can be implemented in a form of software or hardware for solving practical problems.

Education

• Ph.D. in Electrical & Computer Engineering, National University of Singapore, 2014 (advisor: Prof. Kay Chen TAN)

• B.E. in Electrical Engineering and Automation, Harbin Institute of Technology, 2010

Postgraduate Positions

• Dec 2017 – present, Associate Professor, Tianjin University, Tianjin, China.

• Nov 2016 – Nov 2017, Scientist (PI for neuromorphic computing), Institute for Infocomm Research, A*STAR, Singapore

• Sep 2014 – Oct 2016, Research fellow, Max-Planck-Institute for Experimental Medicine, Germany

Selected Honors & Awards

• Peiyang Backbone Young Scholar, Tianjin University, 2020.

• Oversea young talent program of Tianjin, Tianjin, 2018.

• 21st Annual Best of Computing, Computing Reviews’ Notable Books and Articles, 2017.

• IEEE CIS Outstanding TNNLS Paper Award, IEEE Computational Intelligence Society, 2016.

Teaching

Courses

• Python Programming (English, undergraduate), 192001, 202101.

• Open Source Technology and Application (Chinese, undergraduate), 192001.

• Induction to Artificial Intelligence (Chinese, graduate), 181902.

Competitions

• 2nd preliminary, ICCBC 2019, 2019 (Shiming Song, Shenglan Li and Chenxiang Ma).

• 2nd preliminary, ICCBC 2018, 2019 (Yanli Yao).