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Jennifer G. Dy

Associate Professor
Department of Electrical and Computer Engineering
Northeastern University
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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:


Graduate Students:

Current Ph.D. Students:

  • Sindhu Ghanta
  • Jamshid Sourati
  • Sarah Brown
  • Yale Chang
  • Junxiang Chen
  • Uri Peer
  • Kathryn Piattelli
  • Past Ph.D. Students: