Jennifer G. Dy

Research Interests:

My research interests include machine learning, data mining, statistical pattern recognition, and their application to biomedical image analysis, health, science and engineering.

In particular, my research has focused on developing algorithms for clustering high-dimensional data and on applied machine learning. Clustering is an important data analysis tool. It helps researchers discover relationships among samples, which would otherwise be difficult with large volumes of data. The need for clustering high-dimensional data is extensive and includes applications to microarray analysis, text document, web page clustering, and medical image analysis. I have focused my applied research on biomedical image applications. More specifically, some of the projects I am currently working on include tumor tracking in fluoroscopy images of the lungs for radiotherapy and on image segmentation of in vivo confocal microscopy image stacks of the skin to detect cancer. Beyond clustering, I have also developed algorithms for improving support vector machines.

Projects:

• Clustering High-Dimensional Data
• Support Vector Machine
• Tumor Tracking for Radiotherapy Treatment of Lung Cancer
• 3-D Segmentation and Classification of Skin Images

Graduate Students:

Current Ph.D. Students:

Past Ph.D. Students:

• Ting Su (Now working at Mathworks.)
• Ying Cui (Now at Apple.)
• Volkan Vural (Now at Eze Software Group.)
• Sila Kurugol (Currently a Post-Doc at Boston Children's Hospital.)
• Shyamal Patel (Currently a Research Coordinator at Spaulding Rehabilitation Hospital.)
• Yue Guan (Now at Tremor Video.)
• Donglin Niu (Now at Yahoo!)
• Yan Yan (Now at Yahoo!Labs.)
• Jing Fan (Now at Humana.)
• James Ross (Currently at Harvard Medical School.)