LaISR Collaborators

1. Prof. Linda Abriola, Tufts University Dept. of Civil and Environmental Engineering: Groundwater flow and contaminant remediation
2. Prof. Shuchin Aeron, Dept. of Electrical and Computer Engineering, Tufts University: Compressive sensing methods for hyperspectral imaging
3. Dr. William Blackwell, Lincoln Laboratory: Statistical processing methods for radiometer calibration
4. Prof. Sergio Fantini, Tufts University Dept. of Biomedical Engineering: Hyperspectral diffuse optical tomography for breast cancer detection
5. Prof. Misha Kilmer, Tufts University Dept. of Mathematics. Inverse Problems, regularization, computational linear algebra, applications
6. Prof. Kyongbum Lee, Dept. of Chemical and Biological Engineering, Tufts University: Segmentation of microscopy data for quantification of lipid droplet changes.
7. Prof. Adel Malek, Tufts Medical Center, Boston Institute of Neurosurgery: Vascular analysis for aneurysm detection and characterization
8. Prof. Tim McAlindon, Milton O. and Natalie V. Zucker Chair of Rheumatology, Tufts Medical School: Quantitative analysis of knee MRI for the characterization of osteoarthritis
9. Prof. Hanspeter Pfister, SEAS, Harvard University: Segmentation of electron microscopy data for Connectomics application
10. Prof. C. Andrew Ramsburg, Tufts University Dept. of Civil and Environmental Engineering: Groundwater flow and contaminant remediation
11. Prof. Lee Slater, Dept. of Earth and Environmental Studies, Rutgers University: Geophysical measurements and modeling for environmental monitoring
12. Prof. Sameer Sonkusale, Dept. of Electrical and Computer Engineering, Tufts University: Imaging algorithms for metamaterial-based hyperspectral imaging
13. Dr. Xiaoyin Xu, Director, Optical Imaging Laboratory, Brigham And Women's Hospital: Segmentation of microscopy data sets for the identification of vascular and neuronal structures