The Bright Lights of the LaISR

Faculty:

  1. Prof. Eric Miller
  2. Prof. Brian Tracey

Current Doctoral Students

  1. Sepideh Almasi: Fusion of template and machine learning methods for tubular tree identification in medical imagery, Dept. of ECE, Tufts University
  2. Oguz Semerici: Image formation methods for dual energy CT reconstruction.  Dept. of ECE, Tufts University
  3. Hao Zhang: Machine learning methods for contaminant source zone characterization.  Dept. of ECE, Tufts University
  4. Fridrik Larusson: Shape-based methods for hyperspectral diffuse optical tomography.  Dept. of ECE, Tufts University
  5. Jincheng Pang: Automatic segmentation of Cartilage Structure in the Knee from 3D MRI Data, Dept. of ECE, Tufts University.
  6. Amelio Vasquez: Active contour and statistical methods for segmentation of neuronal processes. Dept. of CS, Tufts University
  7. Alireza Aghasi: Shape evolution methods for multi-sensor fusion of electrical and hydrological data. Dept. of ECE, Tufts University
  8. Emre Gueven: Physics- and shape-based ultrasound imaging for guidance of cancer therapy. Dept. of ECE Northeastern University

Current Masters Students

  1. Mike DiLiberto, Thesis topic: A recursive estimation approach to radiometer calibration. Dept. of ECE Tufts University
  2. Zachary Donahue, Thesis topic: Petrophysical models relating DNAPL saturation to electrical properties. Dept. of ECE, Tufts University

Current Undergraduate Researchers

  1. Ms. Esha Johns: Image Segmentation for Analysis of Lipid Droplets. Dept. of ECE, Tufts University

Doctoral Alumni

  1. Alexandra Lauric, Automated Detection and Classification of Intracranial Aneurysms based on 3D Surface Analysis, Dept. of Computer Science, Tufts University, August 2010
  2. Roni Mittelman, Topics in Nonlinear and Robust Estimation Theory, Dept. of ECE Northeastern University, August 2009.
  3. Jie Cheng, Automated detection and time lapse analysis of dendritic spines in laser scanning microscopy images, Dept. of ECE Northeastern University, April 2009.
  4. Damon Hyde, Statistical Modeling and Structured Regularization for Fluorescence Molecular Tomography, Dept. of ECE, Northeastern University, December 2008.
  5. Gregory Boverman. Shape and Pixel Based Methods for Diffuse Optical Tomographic Imaging with Applications to Breast Tumor Detection, Dept. of ECE, Northeastern University, June 2007.
  6. Reza Firoozabadi, Physics-Based Solutions to Inverse Problems with Application in Biomedical Imaging and Environmental Remediation, Dept. of ECE, Northeastern University, January 2007.
  7. Alireza Aliamiri. Statistical methods for unexploded ordnance discrimination, Dept. of ECE, Northeastern University, January 2007.
  8. Basak Ulker Karbeyaz, Modeling and Geometric Inverse Methods for Wideband Ultrasonic Imaging, Dept. of ECE, Northeastern University, September 2005.
  9. Anupama Jagannathan, Segmentation and recognition of 3D point clouds within graph-theoretic and thermodynamic frameworks, Dept. of ECE, Northeastern University, August 2005.
  10. Ashley Beeta Tarokh, Shape-based methods for linear inverse problems, Dept. of ECE, Northeastern University, July 2005.
  11. Xiaoyin Xu, Statistical Methods in Subsurface Object Detection and Localization from Ground Penetrating Radar, Dept. of ECE, Northeastern University, December 2002.
  12. Roger Dufour, Target Classification and Parameter Estimation with a Deformable Template Library, Dept. of ECE, Northeastern University, May 2003.
  13. Wm. Scott Hoge, An Adaptive Signal Processing Approach to Dynamic Magnetic Resonance Imaging, Dept. of ECE, Northeastern University, June 2001.
  14. Murat Belge, Multi-scale and Curvature Methods for the Regularization of Linear Inverse Problems, Dept. of ECE, Northeastern University, August 1999.
  15. Adnan Sahin, Near Field Forward Scattering, and Object-Based Localization Algorithms for Subsurface Objects, Dept. of ECE, Northeastern University, August 1998.

Masters Alumni

Theses

  1. Fridrik Laruson, Hyperspectral Imaging for Diffuse Optical Tomography, Dept. of ECE, Tufts University, September 2009.
  2. Leah Ultring, A Multiple Target Range and Range-Rate Tracker Using an Extended Kalman Filter and a Multilayered Association Scheme, Dept. of ECE, Tufts University, June 2008
  3. Olusola Akapo, Cell Segmentation Using a Charged Parametric Active Contour, Dept. of ECE, Tufts University, June 2008
  4. Ranga Sharath Srinivasan, 3-D Centerline Extraction Of Axons In Confocal Microscopic Stacks, Dept. of ECE, Northeastern University, December 2007.
  5. Andrey Krokhin, Super-resolution processing of infrared imagery, Dept. of ECE, Northeastern University, September 2005.
  6. Damon Hyde, Improving Forward Matrix Generation and Utilization for Time Domain Diffuse Optical Tomography, Dept. of ECE, Northeastern University, September 2004.
  7. Greg Boverman, Modeling and Nonlinear Inversion for Frequency Domain Diffuse Optical Tomography, Dept. of ECE, Northeastern University, June 2003.
  8. Beeta Tarokh, A Unified Approach to Statistical Classification of Buried Objects from Spatially Sampled Electromagnetic Induction Data, Dept. of ECE, Northeastern University, May 2003.
  9. Anupama Jagannathan, Wavelet-based Graph Theoretic Methods for Image Segmentation, Dept. of ECE, Northeastern University, August 2002.
  10. Tzipora Halevi, Statistical Methods for Object Detection in a Three Dimensional Volume, Dept. of ECE, Northeastern University, August 1997.
  11. Roger Dufour.  Statistical Estimation with 1/f-Type Models, Dept. of ECE, Northeastern University, May 1997

Projects

  1. Doria Jianu, Statistical characterization of intracranial vasculature branching structure from 3D imagery, Dept. of CS, Tufts University, August 2009.
  2. Libby Schundler, Tomographic Plume Reconstruction Using Regularization Techniques, Dept. of ECE, Tufts University, August 2008.
  3. Bryan Barnett, Radar Tracking of Ballistic Objects using the Extended Kalman Filter and Unscented Kalman Filter, Dept. of ECE, Tufts University, August 2008.
  4. Matthew Dorsch, A Prototype of a Stereo Vision Based Virtual Modeling Application, Dept. of ECE, Tufts University, January 2008.
  5. Xin Li, Adaptive basis methods and edge preserving regularization for linearized inverse scattering problems, Dept. of ECE, Northeastern University, June 2001.
  6. Pengyu Shi, Recursive processing methods for object detection and shape determination from laser-induced acoustic scattering data, Dept. of ECE, Northeastern University, June, 1999.
  7. Patrick Rennich, Volumetric registration for fMRI, Dept. of ECE, Northeastern University, June 2001.
  8. Mustafa Ozdemir, Estimation theoretic methods for object characterization from low frequency electromagnetic data, Dept. of ECE, Northeastern University, June 2001.
  9. Ibrahim Yavuz, Basis adaptive methods for linear inverse problems, Dept. of ECE, Northeastern University, December 1999.
  10. Xiaoyin Xu, Modeling and detection methods for rapidly moving objects, Dept. of ECE, Northeastern University, March 1998.

Undergraduate Alumni

Tufts University

  1. Jason Nochlin. Segmentation and texture analysis of MRI data for the quantification of osteoarthritis in the knee, 2009-2010.  
  2. Victor Huang. Segmentation of collagen fibers in multi-photon microscopy imagery, 2008.  

Northeastern University

  1. Mr. Sean Mayo:  Design and Implementation of Processing and Modeling Tools for Processing of Electromagnetic Induction Data. January 2006-June 2006
  2. Mr. Joe Ash:  Design and Implementation of Processing and Modeling Tools for Processing of Electromagnetic Induction Data. July 2005-December 2005
  3. Mr. Michael Mazzello:  Design and Implementation of Processing and Modeling Tools for Processing of Electromagnetic Induction Data. January 2005–June 2005
  4. Mr. Yves Meyer:  Design and Implementation of Processing and Modeling Tools for Processing of Electromagnetic Induction Data. July 2004-December 2004
  5. Mr. Derek Uluski.   Distributed Computing Methods for Nonlinear Inverse Scattering Problems.  January 2002-August 2003.
  6. Mr. Kyle Guilbert.   An Object Oriented Toolbox for Diffuse Wave Modeling and Inversion.  January 2002-August 2003.
  7. Mr. Benjamin Yuen.   A Graphical User Interface for Diffuse Wave Imaging Toolbox.  January 2002-August 2003.
  8. Mr. Michael Fitzgibbons.  Analysis and Optimization of Jammer Excision Methods for Next Generation GPS. June 1999 - December 1999.
  9. Mr. Matthew Emerson, Statistically based Method for Anomaly Characterization in Images, Dept. of ECE, Northeastern University, June 1996

Post Doctoral Alumni

  1. Dr. Misha Kilmer:  Professor, Dept. of Mathematics, Tufts University
  2. Dr. Oliver Dorn: Assistant Professor or Mathemartics, Universidad Carlos III de Madrid
  3. Dr. Jack Stalnaker: Assistant Professor, Dept. of Geology, University of Louisiana Lafayette