Yi Sun
Assistant Professor with tenure

Department of Electrical Engineering
The City College of City University of New York
Convent Avenue at 138th Street
New York, NY 10031
Phone: (212)650-6621
Fax: (212) 650-8249
E-mail: ysun ‘circled a’ ccny dot cuny dot edu

Homepage:  http://www-ee.engr.ccny.cuny.edu/www/web/ysun/index.htm

Office: ST-622
Office hours: T. Th. 2:00 − 3:30pm (Best way to contact me: e-mail)

 

Dr. Yi Sun received the B.S. and M.S. degrees in electrical engineering from the Shanghai Jiao Tong University, China, and the Ph.D. in electrical engineering from the University of Minnesota, Minneapolis, in 1997. Dr. Sun was a lecturer at the Shanghai Jiao Tong University, China, from 1985 to 1993, a visiting scientist at the Concordia University, Montreal, Canada, in the summer of 1993, a postdoctoral research fellow at the University of Utah, Salt Lake City, UT, from March to September 1997, and a postdoctoral research associate at the University of Connecticut, Storrs, CT, from October 1997 to August 1998. Since September 1998, Dr. Sun has been an Assistant Professor now with tenure in the Department of Electrical Engineering at the City College of City University of New York.

Dr. Sun’s research has been in modeling, parameter estimation, algorithm development, and performance analysis for various human-designed and biomedical systems by means of signal processing, image processing, probability and statistics, and information theory. These include development of a family of local maximum likelihood detectors for image reconstruction and wireless communications, a local maximum mean approach to detection of microvessels from magnetic resonance angiography image, an approach for robotic to search sources, a biomarkers spectral subspace approach to cancer detection through tissue fluorescence, power spectral analysis of pulse train over random time scaling, and an approach to neovascularization assessment of tumor and atherosclerosis by DCE-MRI, as well as development of a number of algorithms and methods for image restoration, pattern recognition, artificial neural network, signal detection, power spectrum analysis, biomedical data analysis, wireless communication and networking.

Dr. Sun’s research interests are recently focused on stochastic optical localization nanoscopy for superresolution single molecular imaging, including algorithm development to enhance the spatiotemporal resolution, establishment of an information-theoretical foundation for the spatiotemporal resolution, and quantitative analysis of structure and dynamics of biological samples at the nanoscale.


Nanoscopy Laboratory

 

Publications

 

Courses

 

Code of Ethics

 


Last revised: May 10, 2014 (Chinese Year 4712, Horse)