Computer Vision, Perception and Image Analysis (CVPIA) lab, led by Dr. Mohammed Yeasin, works in the general areas of computer vision, data mining, bio-informatics/computational biology, pattern recognition and human computer interfaces (HCI).
The common underlying theme is (i) semantic integration and mining of large heterogeneous data, (ii) robust analysis and modeling of all possible types of signals (text, speech, images, video, time series and gene expressions etc.), and (iii) use service oriented architecture in providing services, and sharing databases and results.
- Dr. Yeasin has received the NSF CAREER grant entitled “Co-analysis of Signal and Sense for Understanding Non-verbal Communications and their Applications”, Feb 05, 2008. Duration: 5 Years
- Dr. Yeasin has received System Testing Excellence Program (STEP) at U of M funding for the proposal entitled “Machine Learning-based Approach for Testing Large Scale Software” 1/08 to 12/08.
- Dr. Yeasin has received System Testing Excellence Program (STEP) at U of M funding for the proposal entitled “Fault Injection-based Approach for Software Dependability Evaluation” 1/08 to 12/08.