Automatic object detection in digital images has been a fundamental and important research topic in artificial intelligence (AI), pattern recognition (PR), and image processing. The problem is how to design a program that can partition a digital image in such a way that different objects in the image can be distinguished for more meaningful and intelligent analysis. He has been dedicated to designing connected components labeling (CCL) algorithms for object detection and recognition. He is also interested in CBIR (Content-based Image Retrieval), and designing and developing network protocols for different computer
networks like wired networks and sensor networks to enhance their performance.
He likes doing research in graph theory and ubiquitous computing as well.

Office Hours

Day	Time
Tuesdays, Thursdays	12:00pm-1:00pm

Education

Degree	Institution	Field	Dates
PhD	University of Alabama	Computer Science	2004
MS	University of Alabama	Computer Science	2001
MS	Peking University	Information Science	1999
BS	Peking University	Information Science	1996

Areas of Expertise

• Object Detection
• Connected Component Labeling
• Content-based Image Retrieval
• Computer Networking
• Graph Theory
• Ubiquitous Computing

Publications in Field Of Expertise

Other