Current students with Dr. Kerekes as primary advisor

• Jason Casey
     Degree: MS Imaging Science
     Entered program: Fall 2005
     Research topic: analysis of hyperspectral imagery and imaging systems for vehicle tracking applications.
  
  
• Ranxi Huang
     Degree: MS Imaging Science
     Entered program: Fall 2006
     Research topic: semi-automated techniques for the classification of dermatological condition from color images
  
  
• Steve Lach
     Degree: PhD Imaging Science
     Entered program: Fall 2004
     Research topic: the use of multiple remote sensing technologies (lidar, hyperspectral, panchromatic high-res imagery) to extract information for the semi-automated construction of three-dimensional, radiometrically accurate, high-resolution optical image scene simulations.
  
  
• Mike Presnar
     Degree: PhD Imaging Science
     Entered program: Fall 2007
     Research topic: performance driven multimodel sensor design, modeling and analysis.
  
  
• Marcus Stefanou
     Degree: PhD Imaging Science
     Entered program: Fall 2005
     Research topic: Investigations into quantitative metrics for the characterization of the quality and utility of spectral imaging sensors and their data.
  
  

Past students with Dr. Kerekes as primary advisor

• Pierre Chouinard
     Degree: MS Imaging Science
     Year: 2006
     Institution: Rochester Institute of Technology
     Thesis: Decision Fusion of Hyperspectral and Synthetic Aperture Radar Imagery for Trafficability Assessment
  
  
• Brian Leahy
     Degree: BS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2006
     Research topic: the quantification of material identification using hyperspectral imagery
  
  
• Kristin Strackerjan
     Degree: MS Imaging Science
     Year: 2006
     Institution: Rochester Institute of Technology
     Thesis: Modeling the Spectral Effects of Water and Soil as Surface Contaminants in a High Resolution Optical Image Simulation
  
  
• Nithya Subramanian
     Degree: MS Electrical Engineering
     Year: 2006
     Institution: Rochester Institute of Technology
     Graduate paper: Spectral Imaging of Near-surface Oxygen Saturation Fraction of Human Skin
  
  

Current students with Dr. Kerekes on thesis committee

• Karl Baum
     Degree: PhD Imaging Science
     Entered program: Fall 2004
     Research topic: Multimodal Breast Imaging: Registration, Visualization and Image Synthesis
  
  
• Scott Klempner
     Degree: PhD Imaging Science
     Entered program: Fall 2003
     Research topic: Enhancement of atmospheric compensation of hyperspectral imagery using ground truth.
  
  

Past students with Dr. Kerekes on thesis committee

• Nancy Baccheschi
     Degree: MS Imaging Science
     Year: 2005
     Institution: Rochester Institute of Technology
     Thesis: Generation of a Combined Dataset of Simulated Radar and Electro-optical Imagery
  
  
• Daniel Blevins
     Degree: PhD Imaging Science
     Year: 2005
     Institution: Rochester Institute of Technology
     Thesis: Modeling Multiple Scattering and Absorption for a Differential Absorption LIDAR System
  
  
• Adam Cisz
     Degree: MS Imaging Science
     Year: 2006
     Institution: Rochester Institute of Technology
     Thesis: Performance Comparison of Hyperspectral Target Detection Algorithms
  
  
• David Grimm
     Degree: MS Imaging Science
     Year: 2005
     Institution: Rochester Institute of Technology
     Thesis: Comparison of Hyperspectral Imagery Target Detection Algorithm Chains
  
  
• Joseph Handfield
     Degree: MS Imaging Science
     Year: 2007
     Institution: Rochester Institute of Technology
     Thesis: High Resolution Source Localization in Near Field Sensor Arrays by MVDR Technique
  
  
• Emmett Ientilucci
     Degree: PhD Imaging Science
     Year: 2005
     Institution: Rochester Institute of Technology
     Thesis: Hyperspectral Sub-Pixel Target Detection Using Hybrid Algorithms and Physics Based Modeling
  
  
• Bo Mu
     Degree: PhD Imaging Science
     Year: 2007
     Thesis: Unsupervised Spectral Classification of Astronomical X-ray Sources Based on Independent Component Analysis
  
  
• Herbert Viggh
     Degree: PhD Electrical Engineering
     Year: 2002
     Institution: Massachusetts Institute of Technology
     Thesis: Surface Prior Information Reflectance Estimation (SPIRE) Algorithms
  
  
• Jason West
     Degree: MS Imaging Science
     Year: 2005
     Institution: Rochester Institute of Technology
     Thesis: Matched Filter Stochastic Background Characterization for Hyperspectral Target Detection
  
  

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Last updated: 17 March 2008