Welcome to Dr. YingLi Tian's Homepage
YingLi Tian, Ph.D.
City University of New York
Office: Steinman Hall T- 640
Tel: (212) 650-7046
Fax: (212) 650-8249
Dr. Ying-Li Tian is a professor in the Department of Electrical
Engineering at the City College of New
York. She received her PhD from the Department
of Electronic Engineering at the Chinese
University of Hong Kong in 1996 and her BS and MS from TianJin
University, China in 1987 and 1990. She is experienced in computer vision topics ranging
from object recognition, scene understanding,
behavior analysis, facial expression recognition, gesture recognition, and
After she worked in National Laboratory of Pattern Recognition at the Chinese Academy of Sciences, Beijing, China, Dr. Tian joined the Robotics Institute in Carnegie Mellon University as a postdoctoral fellow. She focused on automatic facial expression analysis. From 2001 to 2008, Dr. Tian was a research staff member at IBM T. J. Watson Research Center, Hawthorn, New York. She focused on moving object detection, tracking, and event and activity analysis. She was one of the inventors of the IBM Smart Surveillance Solutions (SSS) and was leading the video analytics team. She received the IBM Invention Achievement Awards every year from 2002 to 2007. She also received the IBM Outstanding Innovation Achievement Award in 2007. As an Adjunct Professor at Columbia University, she co-taught a course on Automatic Video Surveillance (Spring 2008). Dr. Tian has published more than 160 papers in journals and conferences and has filed more than 30 patents. She is a senior member of IEEE.
I am looking for intelligent, dedicated, highly motivated, and hard working PhD students to work on research projects in computer vision including object detection and recognition, video analytics, human action analytics, and scene understanding from Fall Semester 2016. Good programming skills in C or C++ and good mathematical and statistical background are required. Knowledge and experiences in computer vision, image and video processing, pattern recognition, and related research are especially welcome.
Interested students, please contact Dr. Yingli Tian at email@example.com.
(c) YingLi Tian @ City College of New York | All Rights
Reserved | Last Revised: Sept. 19, 2015