Current students with Dr. Kerekes as primary advisor (0)

Past students with Dr. Kerekes as primary advisor (47)

• Sean Archer
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Thesis: Empirical Measurement and Model Validation of Infrared Spectra of Contaminated Surfaces
  
  
• Kevin Bloechl
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: A Method for Comparing Real and Simulated Airborne Hyperspectral Imagery
  
  
• Chase Canas
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2025
     Thesis: End-to-end Systems limitations in Hyperspectral Target Detection Using Parametric Modeling and Subpixel lattice Targets for Validation
  
  
• Jason Casey
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2007
     Thesis: A Comparative Analysis of Hyperspectral Target Detection Algorithms in the Presence of Misregistered Data
  
  
• Zhaoyu Cui
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2019
     Thesis: System Engineering Analyses for the Study of Future Multispectral Land Imaging Satellite Sensors for Vegetation Monitoring
  
  
• Bo Ding
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: Hyperspectral Imaging System Model, Implementation and Analysis
  
  
• Pierre Chouinard
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2006
     Thesis: Decision Fusion of Hyperspectral and Synthetic Aperture Radar Imagery for Trafficability Assessment
  
  
• Sanghui Han
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2019
     Thesis: Utility Analysis for Optimizing Compact Adaptive Spectral Imaging Systems for Subpixel Target Detection Applications
  
  
• Sanghui Han
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Graduate capstone project: Subsurface Imaging: Underwater Bathymetry Fusing SAR and EO
  
  
• Jared Herweg
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2012
     Thesis: Pedestrian Detection Phenomenology in a Cluttered Urban Environment using Hyperspectral Imaging
  
  
• Kim Horan
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: The Use of Coincident Synthetic Aperture Radar and Visible Imagery to Aid in the Analysis of Photon-counting Lidar Data Sets Over Complex Snow and Ice Surfaces.
  
  
• Ranxi Huang
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2009
     Thesis: Semi-automated Techniques for the Retrieval of Dermatological Condition in Color Skin Images
  
  
• Ankit Jasani
     Degree: MS Electrical Engineering
     Institution: Rochester Institute of Technology
     Year: 2011
     Graduate Paper: Face Recognition: Study and Comparison of Techniques PCA and FLD
  
  
• Nirmalan Jeganathan
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2017
     Thesis: Hyperspectral and Hypertemporal Longwave Infrared Data Characterization
  
  
• Steve Lach
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2008
     Thesis: Semi-Automated DIRSIG Scene Modeling from 3D Lidar and Passive Imagery
  
  
• Brian Leahy
     Degree: BS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2006
     Research topic: the quantification of material identification using hyperspectral imagery
  
  
• Ming Li
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Thesis: Building Model Reconstruction from Point Clouds Derived from Oblique Imagery
  
  
• Sanjit Maitra
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: Analysis of Polarimetric Synthetic Aperture Radar and Passive Visible Light Polarimetric Imaging Data Fusion for Remote Sensing Applications
  
  
• Colin Maloney
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2023
     Thesis: A Study on the Impact of Nonlinear Effects on Hyperspectral subpixel Target Detection
  
  
• Keegan McCoy
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2019
     Thesis: Methodology for the Integration of Optomechancial System Software Models with a Radiative Transfer Image Simulation Model
  
  
• Lingfei Meng
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2012
     Thesis: Analytical Modeling, Performance Analysis, and Optimization of Polarimetric Imaging System
  
  
• Nilay Mokashi
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2018
     Thesis: Empirical Satellite Characterization for Realistic Imagery Generation
  
  
• Cara Murphy
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2021
     Thesis: Methods for Generating High-Fidelity Trace Chemical Residue Reflectance Signatures for Active Spectrscopy Classification Applications
  
  
• Emily Myers
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2021
     Thesis: Temporal Requirements for Future Landsat Systems for Agricultural Monitoring
  
  
• Hari Palacharla
     Degree: MS Electrical Engineering
     Institution: Rochester Institute of Technology
     Year: 2012
     Graduate paper: Image Processing of High Resolution Multispectral Imagery in Earthquake Disaster Mapping.
  
  
• Cara Perkins
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: Spatial Heterodyne Spectroscopy: Modeling and Interferogram Processing
  
  
• Mike Presnar
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2010
     Thesis: Modeling and Simulation of Adaptive Multimodal Optical Sensors for Target Tracking in the Visible to Near Infrared
  
  
• Dean Pulsifer
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2007
     Graduate capstone project: Comparison of Classification Algorithms using Spectral and Elevation Data
  
  
• Annette Rivas
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2011
     Thesis: Tunable Micro-Electro Mechanical Fabry Perot Etalon
  
  
• Danielle Simmons Cox
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: Hyperspectral Monitoring of Chemically Sensitive Plant Sensors.
  
  
• Timothy Smith
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2016
     Graduate capstone project: A Comparison of Pixel-level and Decision-level Data Fusion Derived Products.
  
  
• Marcus Stefanou
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2008
     Thesis: Spectral Image Utility for Target Detection Applications
  
  
• Kristin Strackerjan
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2006
     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
     Institution: Rochester Institute of Technology
     Year: 2006
     Graduate paper: Spectral Imaging of Near-surface Oxygen Saturation Fraction of Human Skin
  
  
• Peter Tate
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2021
     MS Project: Velocity Tuned Filter Based Dim Target Tracker
  
  
• Yihang Sun
     Degree: MS Electrical Engineering
     Institution: Rochester Institute of Technology
     Year: 2016
     Graduate paper: An Analysis Task Comparison of Uncorrected vs. Geo-registered Airborne Hyperspectral Imagery
  
  
• Nenad Vrucinic
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2018
     MS Project: Characterization of Freeform Optics and Stray Light in Optical Remote Sensing Systems
  
  
• Fan Wang
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2017
     Thesis: Understanding High Resolution Aerial Imagery Using Computer Vision Techniques
  
  
• Yong Wang
     Degree: BS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2023
     Senior Project: Mapping Ground Level PM2.5 Concentration with Satellite Data.
  
  
• Oesa Weaver
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Thesis: An Analytical Framework for Assessing the Efficacy of Small Satellites in Performing Novel Imaging Missions
  
  
• Cody Webber
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2021
     Thesis: An Examination of Environmental Applications for Uncooled Thermal Infrared Remote Sensing Instruments
  
  
• Jiashu Zhang
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: Analytical Modeling and Performance Assessment of Micropulse Photon-counting Lidar System.
  
  
• Jie Zhang
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: Dense Point Cloud Extraction from Oblique Imagery
  
  
• Ming Zhang
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: Towards 3D Matching of Point Clouds Derived from Oblique and Nadir Airborne Imagery.
  
  
• Tingfang Zhang
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: Multipel-target Tracking Using Spectropolarimetric Imagery
  
  
• Yuwei Zhou
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2022
     Project: Exploration of Spatial and Temporal Deep Neural Networks for PM2.5 Prediction
  
  
• Lucy Zimmerman
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2022
     Thesis: Comparison of Methane Plume Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions
  
  

Current students with Dr. Kerekes on thesis committee (0)

Past students with Dr. Kerekes on thesis committee (44)

• James Albano
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: Spectral Target Detection Using Pysics-based Modeling and a Manifold Learning Technique
  
  
• Nancy Baccheschi
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2005
     Thesis: Generation of a Combined Dataset of Simulated Radar and Electro-optical Imagery
  
  
• Karl Baum
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2008
     Thesis: Multimodal Breast Imaging: Registration, Visualization and Image Synthesis
  
  
• Daniel Blevins
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2005
     Thesis: Modeling Multiple Scattering and Absorption for a Differential Absorption LIDAR System
  
  
• Nathan Burglewski
     Degree: PhD Imaging Science
     Year: 2024
     Thesis: On the Optimization of Sensor for the Remtoe Sensing of Crop Yield
  
  
• Maria Busuioceanu
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2013
     Thesis: Analysis of Compressive Sensing for Hyperspectral Remote Sensing Applications
  
  
• Joseph Carrock
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2021
     Thesis: An Experimental Campaign to Collect Multiresolution Hyperspectral Data with Ground Truth
  
  
• Bin Chen
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Thesis: Multispectral Image Road Extraction Based Upon Automated Map Conflation
  
  
• Dan Chianucci
     Degree: BS/MS Computer Engineering
     Institution: Rochester Institute of Technology
     Year: 2016
     Thesis: Change Detection in Aerial Images Using Spatial Transformer Networks
  
  
• Adam Cisz
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2006
     Thesis: Performance Comparison of Hyperspectral Target Detection Algorithms
  
  
• Ryan Ford
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2019
     Thesis: Water Quality and Algal Bloom Sensing from Multiple Imaging Platforms
  
  
• Utsav Gewali
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2019
     Thesis: Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images
  
  
• David Grimm
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2005
     Thesis: Comparison of Hyperspectral Imagery Target Detection Algorithm Chains
  
  
• Joseph Handfield
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2007
     Thesis: High Resolution Source Localization in Near Field Sensor Arrays by MVDR Technique
  
  
• Amir Hassanzadeh
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2022
     Thesis: On the Use of Imaging Spectroscopy from Unmanned Aerial Systems (UAS) to Model Yield and Assess Growth Stages of a Broadacre Crop
  
  
• Emmett Ientilucci
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2005
     Thesis: Hyperspectral Sub-Pixel Target Detection Using Hybrid Algorithms and Physics Based Modeling
  
  
• Peter Jackson
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2022
     Thesis: On Uncertainty Propagation in Image-guided Renal Navigation: Exploring Uncertainty Reduction Techniques through Simulation and In Vitro Phantom Evaluation
  
  
• Gajendra Katuwal
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2017
     Thesis: Machine Learning Based Autism Detection Using Brain MRI.
  
  
• Scott Klempner
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2008
     Thesis: Statistical Modeling of Radiometric Error Propagation in Support of Hyperspectral Imaging Inversion and Optimized Ground Sensor Network Design
  
  
• Kimberly Kolb
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Thesis: Single-photon Counting Detectors for Low Light Level Imaging Applicaions
  
  
• Justin Kwong
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2009
     Thesis: Hyperspectral Clustering and Unmixing of Satellite Imagery for the Study of Complex Society State Formation
  
  
• Yuval Levental
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2023
     Thesis: Lidar Voxel Segmentation Using 3D Convolutional Neural Networks
  
  
• Douglas MacDonald
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2016
     Thesis: Modeling the Radar Return of Powerlines Using an Incremental Length Diffraction Coefficient Approach
  
  
• Joseph McGlinchy
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2010
     Thesis: Extracting Structural Vegetation Componsents from Small-Footprint Waveform LiDAR Data in Savanna Ecosystems
  
  
• Bo Mu
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2007
     Thesis: Unsupervised Spectral Classification of Astronomical X-ray Sources Based on Independent Component Analysis
  
  
• Sai Prasad Nooka
     Degree: MS Electrical Engineering
     Institution: Rochester Institute of Technology
     Year: 2016
     Thesis: Fusion of Mini-deep Nets.
  
  
• Cadence Payne
     Degree: PhD Aeronautics and Astronautics
     Institution: Massachusetts Institute of Technology
     Year: 2024
     Thesis: Nanosatellite Hyperspectral Imaging Performance Modeling for Ocean Color Detection
  
  
• Honghong Peng
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: Automatic Denoising and Unmixing in Hyper-spectral Image Processing
  
  
• David Principe
     Degree: PhD Astrophysical Sciences & Technology
     Institution: Rochester Institute of Technology
     Year: 2014
     Thesis: Multiwavelength Observations of Young Stars and Their Circumstellar Disks
  
  
• Kamal Rana
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2023
     Thesis: The Geometry and Topology of Landslides
  
  
• Alexander Rasskazov
     Degree: PhD Astrophysical Sciences and Technology
     Institution: Rochester Institute of Technology
     Year: 2017
     Thesis: Evolution of Massive Black Hole Binaries in Rotating Stellar Nuclei and its Implications for Gravitational Wave Detection
  
  
• Michael (Grady) Saunders
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2020
     Thesis: Randomizable Phenology-dependent Corn Canopy for Simulated Remote Sensing of Agricultural Scenes
  
  
• Manish Sharma
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2024
     Thesis: Multimodal Data Fusion and Model Compression Methods for Computer Vision
  
  
• Dylan Shiltz
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2022
     Thesis: Radiometric effects of centimeter scale roughness of bare soils.
  
  
• Burak Uzkent
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2016
     Thesis: Aerial Vehicle Tracking With a Multimodal Sensor
  
  
• Jared Van Cor
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2017
     Thesis: Characterizing Resident Space Object Eartshine Signature Variability
  
  
• Herbert Viggh
     Degree: PhD Electrical Engineering
     Institution: Massachusetts Institute of Technology
     Year: 2002
     Thesis: Surface Prior Information Reflectance Estimation (SPIRE) Algorithms
  
  
• Jason West
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2005
     Thesis: Matched Filter Stochastic Background Characterization for Hyperspectral Target Detection
  
  
• McKay Williams
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2017
     Thesis: Generation, Validation, and Application of Abundance Map Reference Data for Spectral Unmixing
  
  
• Jiaying Wu
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2012
     Thesis: A Signal Processing Approach for Preprocessing and 3D Analysis of Airborne Small-Footprint Full Waveform LIDAR Data
  
  
• Zhenlin Xu
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2016
     Thesis: 3D subject-Atlas Iamge Registration for micro-computed Tomography Based Characterization of Drug Delivery in the Murine Chochleabr>
  
  
• Xingchao Yu
     Degree: MS Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2015
     Thesis: Studies of Gas Absorption in Infrared Spectra of Carbon-rich AGB Star.
  
  
• Chao Zhang
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2018
     Thesis: Functional Imaging Connectome of the Human Brain and Its Associations with Biological and Behavioral Characteristics
  
  
• Xuewen Zhang
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2019
     Thesis: Efficient Nonlinear Dimensionality Reduction for Pixel-wise Classification of Hyperspectral Imagery
  
  
• Runchen Zhao
     Degree: PhD Imaging Science
     Institution: Rochester Institute of Technology
     Year: 2023
     Thesis: LWIR Spectral Variability Integration and Improvements to An Earth Observing Statistical Performance Model
  
  

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Last updated: 20 May 2025