In the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, I hold the position of Full Professor. I teach and conduct research in image processing, computer vision, remote sensing, and scientific computing. My research interests address the development of solutions to applied, real-world, problems utilizing the appropriate imaging modalities and algorithmic approaches. My expertise are in thermal infrared imaging, phenomenology, exploitation, and simulation; design and implementation of novel imaging and ground-based measurement systems; three-dimensional geometry extraction from multi-view imagery; material optical properties measurement and modeling; radiometric and geometric calibration of imaging systems; still and motion image processing and machine/deep learning for various applications.

I am serving as the Director of the Digital Imaging and Remote Sensing Laboratory. I also hold the position of Principal Investigator for the Signature Interdisciplinary Research Areas/Center for Unmanned Aircraft Systems Research at the Rochester Institute of Technology. My primary role in this organization is the development of novel radiometric and geometric calibration approaches for small unmanned aerial systems, as well as the facilitation of an interdisciplinary team of researchers both in the development of sensing technologies as well as the use of these systems to find solutions to problems in precision agriculture, infrastructure and facility inspection, as well as novel uses of computer vision for guidance and discovery.


Rochester Institute of Technology
College of Science
Chester F. Carlson Center for Imaging Science
54 Lomb Memorial Drive
Rochester, NY 14623-5604

585.475.6380 (Voice)
585.509.1237 (Mobile)
585.475.5988 (FAX)

carl dot salvaggio at rit dot edu (E-mail)


SPIE - The International Society for Optics and Photonics
ASPRS - The Imaging & Geospatial Information Society
IS&T - Society for Imaging Science and Technology
AAAS - American Association for the Advancement of Science
IASTED - International Association of Science and Technology for Development


Rochester Institute of Technology
Director of the Digital Imaging and Remote Sensing Laboratory

Imagery Solutions, Incorporated

MRJ Technology Solutions
Principal Engineer

Hughes Aircraft Company

Rochester Institute of Technology
Research Scientist/Instructor

Central Intelligence Agency
Photographic Engineer


State University of New York
College of Environmental Science and Forestry
Ph.D., Environmental Resource Engineering

Rochester Institute of Technology
Chester F. Carlson Center for Imaging Science
M.S., Imaging Science

Rochester Institute of Technology
Chester F. Carlson Center for Imaging Science
B.S., Imaging Science


CURRENT ACTIVE FUNDING:   $0 (0 projects)
CUMULATIVE FUNDING TO DATE:   $9,319,016 (39 projects)




1051.211 / Programming for Imaging Science

This course will introduce the student to the IDL environment as a data visualization tool and a programming language. The student will learn the various capabilities of the package and how they can rapidly prototype solutions to various science and engineering problems. As these solutions are developed, fundamental concepts of programming and data structures will be introduced. Programming assignments will include fundamental imaging related problems and will work with scalar, vector and array processes. This course will emphasize the need for concrete problem definition, problem decomposition into smaller sub-problems, implementation/testing, and presentation/documentation of the algorithms and results. (Algebra and trigonometry) Class 4, Credit 4

1051.361 / Digital Image Processing I

This course is an introduction to the basic concepts of digital image processing. The student will be exposed to image capture and image formation methodologies, sampling and quantization concepts, statistical descriptors and enhancement techniques based upon the image histogram, point processing, neighborhood processing, and global processing techniques based upon kernel operations and discrete convolution as well as the frequency domain equivalents, geometrical operations for scale and rotation, and grey-level resampling techniques. The student will be introduced to the computation of the discrete and fast Fourier transforms for one- and two-dimensional functions and the techniques of frequency domain filtering. Emphasis is placed on applications and efficient algorithmic implementation using the IDL programming language. (1016-305, 1051-211 or equivalent) Class 4, Credit 4

1051.462 / Digital Image Processing II

This course is an introduction to the more advanced concepts of digital image processing. The student will be exposed to image reconstruction, noise sources and techniques for noise removal, information theory, image compression, video compression, wavelet transformations and the basics of digital image watermarking. Emphasis is placed on applications and efficient algorithmic implementation using the IDL programming language. (1051-461) Class 4, Credit 4

1051.463 / Digital Image Processing III

This course discusses the digital image processing concepts and algorithms used for the analysis of hyperspectral, multispectral and multi-channel data in remote sensing and other application areas. Concepts are covered at the theoretical and implementation level using current, popular commercial software packages and high-level programming languages for examples, homework and programming assignments. The requisite multivariate statistics will be presented as part of this course as an extension of the univariate statistics that the students have previously been exposed to. Topics to be covered will include methods for supervised data classification, clustering algorithms and unsupervised classification, multispectral data transformations, data redundancy reduction techniques, image-to-image rectification, and data fusion for resolution enhancement. (1051-211 or equivalent, 1016-351, 1061-352) Class 4, Credit 4

1051.502 / 1051.503 / Senior Project

Guidance for undergraduate level research projects leading to Bachelor of Science degree in Imaging Science. I am currently serving on or have served as an advisor for the following students:

  1. Brandon Migdal (BS), Extraction methods of watermarks from linearly-distorted images to maximize signal-to-noise ratio, May 2004
  2. Seth Weith-Glushko (BS), Automatic tie-point generation for oblique aerial imagery: An algorithm, May 2004
  3. Christopher Bayer (BS), Development of algorithm for fusion of hyperspectral and multispectral imagery with the objective of improving spatial resolution while retaining spectral data, May 2005
  4. Bethany Choate (BS), Investigating the use of agglomerative hierarchical clustering as a method for multispectral image classication, May 2006
  5. William Pfeister (BS), Automation of a laboratory-based goniometer for measurment of bidirectional reflectance distribution functions, May 2006
  6. Michael Denning (BS), Classification of astronomical infrared sources using Spitzer space telescope data, February 2007
  7. Russell Barkley (BS), Tracking fluorescent particles used in lung simulation studies using high-speed video imagery, May 2008 (Primary Advisor: Risa Robinson)
  8. Meredith Curtis (BS), Application of image reconstruction techniques to Mars neutron spectroscopy data, February 2009
  9. Katie Salvaggio (BS), Phenomenological study of passive image-based observables used to determine standard from overladen vehicles, May 2010
  10. Kyle Ryan (BS), A feature-based classifier for dragonflies and damselflies, May 2012
  11. Stephanie Darling (BS), A novel approach to temperature-emissivity separation using a multiple-window smoothness criteria, December 2013
  12. Jacob DeBoer (BS), Digital watermarking for video: A forensic solution to movie piracy, May 2014
  13. Daniel Goldberg (BS), Seamless texture mapping of 3D point clouds, December 2014
  14. Christian Taylor (BS), Radiometric calibration of a modified DSLR for NDVI, May 2015
  15. Elizabeth Bondi (BS), Calibration of UAS imagery inside and outside of shadows for improved vegetation index computation, May 2016
  16. Timothy Bauch (BS), Low-cost and effective structure-from-motion 3-dimensional geometric reconstructions of targets at macroscopic scale, December 2016
  17. Seth Baker (BS), Currently in progress
  18. Julianna Fioravanti (BS), Currently in progress
  19. Ryan Hartzell (BS), Currently in progress
  20. Kevin Kha (BS), Currently in progress
  21. Lindsay Martinescu (BS), Currently in progress
  22. Scarlett Montanaro (BS), Currently in progress
  23. Paul Romanczyk (BS), Currently in progress
  24. Geoffrey Sasaki (BS), Currently in progress
  25. Victoria Scholl (BS), Currently in progress
  26. Brandon Scott (BS), Currently in progress
  27. Vlad Simion (BS), Currently in progress
  28. Sadie Wolters (BS), Currently in progress

0303.560 / 0303.561 / Multidisciplinary Engineering Senior Design

The Multidisciplinary Senior Design program prepares students for modern engineering practice through a multidisciplinary, team-based design experience in which the students apply the skills and knowledge acquired in earlier coursework to define, analyze, design and implement solutions to unstructured, open-ended, multidisciplinary engineering problems while adhering to customer requirements and recognized engineering standards. The projects are sponsored by wide range of industries and government organizations. I am currently serving on or have served as an advisor for the following students:

  1. Rick Andol (BS), BRDF Imaging Platform (P07521), May 2006
  2. Kathryn Berens (BS), BRDF Imaging Platform (P07521), May 2006
  3. William Casolara (BS), BRDF Imaging Platform (P07521), May 2006
  4. Matthew Harris (BS), BRDF Imaging Platform (P07521), May 2006
  5. Robert Jaromin (BS), BRDF Imaging Platform (P07521), May 2006
  6. Ross Strebig (BS), BRDF Imaging Platform (P07521), May 2006
  7. Lenny Calabrese (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), May 2009
  8. Joanna Dobeck (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), May 2009
  9. Darrell Draper (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), May 2009
  10. Dave Lewis (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), May 2009
  11. Steve Sweet (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), May 2009
  12. Jason Thibado (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), May 2009

1051.553 / Special Topics - Programming for Imaging Science II

This course emphasizes the algorithm development and implementation of advanced digital imaging applications. Modular programming concepts are emphasized along with good coding and documentation practices. The course will be carried out in the UNIX operating environment and IDL will be the programming language utilized. Language specific characteristics such as the use of IDL widgets for graphical user interface development, the use of IDL objects, the use of ENVI specific functions and procedures, further treatment of image data types, and color management will be explored. Example algorithmic areas that may be explored are image compression, color space transformations, frequency domain image reconstruction, and the use of multi-band imagery. (1051-211 or permission of instructor) Class 2, Credit 2

1051.553 / Special Topics - Applied Computing for Imaging Science

This course is intended to develop the students skills in applied computing and research techniques. A prerequisite to scientific advancement is a thorough understanding of historical and recent literature relevant to the field of study. This often involves repeating experiments that predecessors and current colleagues have performed. Often, insights are gained when experiments are repeated that cannot be realized simply by reading an article in a professional journal or conference proceeding. In this course, the student will choose an article from the historical or recent literature that describes a computational technique used in the field of imaging science. The student will implement the described algorithm in the computer language of their choice, and attempt to repeat the results obtained by the author. Along the way, the student will make three oral presentations during class, the first describing the referenced research, the second, a report on their progress in re-implementing the referenced work, and the third, describing the success, failure or questions that arose during execution of the project. The intent is to develop a critical approach to reading published research, questioning both implementation and results in order to gain a thorough understanding of the work. (1051-211 or equivalent and permission of the instructor) Class 2, Credit 3

1051.599 / 1055.359 / Undergraduate Independent Study (Honors Research)

1051.762 / Remote Sensing Systems, Sensors and Radiometeric Image Analysis

Introduction to the governing equations for radiance reaching an aerial or satellite based imaging system, covering the properties of these imaging systems with an emphasis on their use as quantitative scientific instruments. Methods for inverting the remotely sensed image data using the governing radiometric equation are assessed. Multidimensional image analysis (e.g. multispectral, polarimetric, multidate) is emphasized and includes issues such as image registration to support image analysis. Parameters and processes governing spatial, spectral and radiometric image fidelity are studied with an emphasis on how each step in the image chain impacts the final image or image product. Class 4, Lab 0, Credit 4

1051.782 / Introduction to Digital Image Processing

This course will provide the basic understanding of imaging systems, image transformation and associated mathematics and computational processes needed for upper-level classes in the imaging science graduate program. Topics covered include linear vector spaces, image mathematics, image statistics and point processing, linear and nonlinear image filters, image transforms and computer algorithms. Computational methods and techniques for essential processes for imaging systems are used as the course framework. Class 4, Credit 4

1051.799 / Graduate Independent Study

1051.840 / Masters Thesis Project

Guidance for graduate level research projects leading to an online Master of Science degree in Imaging Science. I am currently serving on or have served as an advisor for the following students:

  1. Timothy Grabowski (MS), Effects of pixel size on apparent emissivity signatures of materials with longwave infrared spectral characteristics, May 2006
  2. Gregory Gosian (MS), A non-probabilistic, compact compression algorithm suitable for deep space solar system mission image transmission, February 2008
  3. Kristen Powers (MS), DIRSIG cloud modeling capabilities: A parametric study, January 2009
  4. Alexander Cherekos (MS), Gaseous plume detection using projective K-means method, May 2009
  5. Cynthia Scigaj (MS), Study and simulation of remote sensing system: COMPact Airborne Spectral Sensor (COMPASS), June 2009
  6. Linda Le (MS), Improving signal-to-noise ratio in remotely sensed imagery using an invertible blur technique, May 2011
  7. Gregory Rafalski (MS), Automated model creation from aerial photography, December 2012
  8. Rachel (Obajtek) Kitzmann (MS), An implementation of vehicle tracking using motion layers, May 2013
  9. Katherine Grzedzicki (MS), Evaluating 3D building extraction from image-derived point clouds, May 2015
  10. Monika McKeown (MS), Fuzzing and analysis of AV1 multimedia codec, August 2018 (Primary Advisor: Jonathan Weissman)
  11. Matthew Casella (MS), Currently in progress

1051.890 / Research and Thesis

Guidance for graduate level research projects leading to Master of Science or Doctor of Philosophy degrees in Imaging Science. I am currently serving on or have served as an advisor for the following students:

Master of Science (11)

  1. John Francis (MS), Pixel-by-pixel reduction of atmospheric haze effects in multispectral digital imagery of water, May 1989 (Primary Advisor: John Schott)
  2. Denis Robert (MS), Selection and analysis of optimal textural features for accurate classification of monochrome digitized image data, May 1989 (Primary Advisor: John Schott)
  3. Jan North (MS), Fourier image synthesis and slope spectrum analysis of deep water, wind-wave scenes viewed at Brewster's angle, December 1989 (Primary Advisor: John Schott)
  4. Wendy Rosenblum (MS), Optimal selection of textural and spectral features for scene segmentation, May 1990 (Primary Advisor: John Schott)
  5. Eric Shor (MS), 3-D longwave infrared synthetic scene simulation, May 1990 (Primary Advisor: John Schott)
  6. Curtis Munechika (MS), Merging panchromatic and multispectral images for enhanced image analysis, August 1990 (Primary Advisor: John Schott)
  7. Jonathan Wright (MS), Evaluation of LOWTRAN and MODTRAN for use over high zenith angle/long path length viewing, May 1991 (Primary Advisor: John Schott)
  8. Donna Rankin (MS), Validation of DIRSIG an infrared synthetic scene generation model, February 1992 (Primary Advisor: John Schott)
  9. Sharon Cady (MS), Multi-scene atmospheric normalization of airborne imagery: Application to the remote measurement of lake acidification, April 1992 (Primary Advisor: John Schott)
  10. Gustav Braun (MS), Quantitative evaluation of six multispectral, multiresolution image merger routines, July 1992 (Primary Advisor: John Schott)
  11. Robert Merisko (MS), Enhancement to atmospheric-correction techniques for multiple thermal images, July 1992 (Primary Advisor: John Schott)
  12. David Ehrhard (MS), Application of Fourier-based features for classification of synthetic aperture radar imagery, September 1992 (Primary Advisor: John Schott)
  13. Adam Hanson (MS), Character recognition of optically blurred textual images using moment invariants, June 1993 (Primary Advisor: Roger Easton)
  14. Kaleen Moriarty (MS), Automated image-to-image rectification for use in change detection analysis as applied to forest clearcut mapping, August 1993
  15. Richard Stark (MS), Synthetic image generator model: Application of specular and diffuse reflectivity components and performance evaluation in the visible region, September 1993 (Primary Advisor: John Schott)
  16. Gary Ralph (MS), Characterization of the radiometric performance of an IR scene projector, June 1994 (Primary Advisor: John Schott)
  17. Elizabeth Frey (MS), An examination of distributional assumptions in Landsat TM imagery, June 1995
  18. Neil Scanlan (MS), Comparative performance analysis of texture characterization models in DIRSIG, August 2003 (Primary Advisor: John Schott)
  19. Kris Barcomb (MS), High-resolution, slant-angle scene generation and validation of concealed targets in DIRSIG, August 2004 (Primary Advisor: John Schott)
  20. Marianne Lipps (MS), Task influence of scene content selected by active vision, August 2004 (Primary Advisor: Jeff Pelz)
  21. Erin Peterson (MS), Synthetic landmine scene development and validation in DIRSIG, August 2004 (Primary Advisor: John Schott)
  22. David Pogorzola (MS), Gas plume species identification in LWIR hyperspectral imagery by regression analyses, April 2005
  23. Melissa Hofer (MS), A website and corresponding database to support the Digital Imaging and Remote Sensing (DIRS) lab in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, June 2005
  24. Erin O'Donnell (MS), Detection and identification of effluent gases using invariant hyperspectral algorithms, August 2005
  25. Timothy Hattenberger (MS), A psychovisual investigation of global illumination algorithms used in augmented reality, March 2006 (Primary Advisor: Mark Fairchild)
  26. Kristin-Elke Strackerjan (MS), Modelling the spectral effects of water and soil as surface contaminants in a high resolution optical image simulation, July 2006 (Primary Advisor: John Kerekes)
  27. Seth Weith-Glushko (MS), Quantitative analysis of infrared contrast enhancement algorithms, September 2006
  28. Brian Dobbs (MS), The incorporation of atmospheric variability into DIRSIG, October 2006 (Primary Advisor: John Schott)
  29. Francis Padula (MS), Historic thermal calibration of Landsat 5 TM through an improved physics based approach, October 2008 (Primary Advisor: John Schott)
  30. Ling Ouyang (MS), A symbol layout classification for mathematical formula using layout context, November 2009 (Primary Advisor: Richard Zanibbi)
  31. Jonathan Miller (MS), Historic thermal calibration of Landsat 4 TM through an improved physics based approach, June 2010 (Primary Advisor: John Schott)
  32. Donald Taylor (MS), Atmospheric compensation over Case II waters: Simultaneous aerosol and water constituent retrieval, November 2010 (Primary Advisor: John Schott)
  33. Andrew Scott (MS), Language-based procedural modeling for randomized scene construction, May 2011
  34. Dave Snyder (MS), Text detection in natural scenes through weighted majority voting of DCT high pass filters, line removal, and color consistency filtering, May 2011 (Primary Advisor: Richard Zanibbi)
  35. Disa Walden (MS), A benchmarking assessment of known visual cryptography algorithms, May 2012 (Primary Advisor: Roger Dube)
  36. Kyle Ausfeld (MS), Tracking of various targets in the infrared and issues encountered, August 2012 (Primary Advisor: Zoran Ninkov)
  37. Philip Nau (MS), A study of the deer herd on the RIT campus and the relationship of herd activity and habitat to the incidence of deer-vehicle collisions, May 2013 (Primary Advisor: Karl Korfmacher)
  38. Danielle Simmons (MS), Hyperspectral monitoring of chemically sensitive plant sensors, May 2013 (Primary Advisor: John Kerekes)
  39. Cara Perkins (MS), Spatial heterodyne spectroscopy: Modeling and interferogram processing, July 2013 (Primary Advisor: John Kerekes)
  40. Jie Zhang (MS), Dense point cloud extraction from oblique imagery, November 2013 (Primary Advisor: John Kerekes)
  41. Adam Rossi (MS), Abstracted workflow framework with a structure from motion application, May 2014 (Primary Advisor: Harvey Rhody)
  42. Ming Zhang (MS), Towards 3D matching of point clouds derived from oblique and nadir airborne imagery, May 2014 (Primary Advisor: John Kerekes)
  43. Christian Lewis (MS), The development of a performance assessment methodology for activity based intelligence: A study of spatial, temporal, and multimodal considerations, August 2014 (Primary Advisor: David Messinger)
  44. Jordyn Stoddard (MS), Toward image-based three-dimensional reconstruction from cubesats: Impacts of spatial resolution and SNR on point cloud quality, August 2014 (Primary Advisor: David Messinger)
  45. Michael Harris (MS), Supervised material classification in oblique aerial imagery using Gabor filter features, October 2014 (Primary Advisor: David Messinger)
  46. Ming Li (MS), Building model reconstruction from point clouds derived from oblique imagery, May 2015 (Primary Advisor: John Kerekes)
  47. Sean Archer (MS), Empirical measurement and model validation of infrared spectra of contaminated surfaces, August 2015 (Primary Advisor: John Kerekes)
  48. Grant Anderson (MS), An evaluation of the silicon spectral range for determination of nutrient content of grape vines, July 2016 (Primary Advisor: Jan van Aardt)
  49. Paul Sponagle (MS), Automated flight planning for roof inspection using a face-based approach, July 2017
  50. Jeganathan Nirmalan (MS), Hyperspectral and hypertemporal longwave infrared data characterization, August 2017 (Primary Advisor: John Kerekes)
  51. Jiang Fu (MS), Evaluation of stray light correction for the thermal infrared sensor (TIRS) from Landsat 8, September 2017
  52. McClelland Michael (MS), (DRAFT) An assessment of small unmanned aerial systems in support of sustainable forestry management initiatives, July 2018 (Primary Advisor: Jan van Aardt)
  53. Margot Accettura (MS), Methods for the detection of subterranean methane leakage, August 2018
  54. Nicholas Bitten (MS), Currently in progress (Primary Advisor: Aaron Gerace)
  55. Ethan Hughes (MS), Currently in progress (Primary Advisor: Jan van Aardt)
  56. Ronnie Izzo (MS), Currently in progress (Primary Advisor: Jan van Aardt)
  57. Salman Khan (MS), Currently in progress

Doctor of Philosophy (13)

  1. Susan Hojnacki (Ph.D.), A source classification algorithm for astronomical X-ray imagery of stellar clusters, May 2005 (Primary Advisor: Joel Kastner)
  2. James Shell (Ph.D.), Polarimetric remote sensing in the visible to near infrared, November 2005 (Primary Advisor: John Schott)
  3. Michael Gartley (Ph.D.), Polarimetric modeling of remotely sensed scenes in the thermal infrared, May 2007 (Primary Advisor: John Schott)
  4. Yan Li (Ph.D.), An integrated water quality modeling system with dynamic remote sensing feedback, July 2007 (Primary Advisor: Anthony Vodacek)
  5. Brent Bartlett (Ph.D.), Improvement of retrieved reflectance in the presence of clouds, August 2007 (Primary Advisor: John Schott)
  6. Michael Foster (Ph.D.), Using LIDAR to geometrically constrain signature spaces for physics-based target detection, August 2007 (Primary Advisor: John Schott)
  7. Zhen Wang (Ph.D.), Modeling wildland fire radiance in synthetic remote sensing scenes, August 2007 (Primary Advisor: Anthony Vodacek)
  8. Marvin Boonmee (Ph.D.), Land surface temperature and emissivity retrieval from thermal infrared hyperspectral imagery, October 2007 (Primary Advisor: John Schott)
  9. Derek Walvoord (Ph.D.), Advanced correlation-based character recognition applied to the Archimedes palimpsest, May 2008 (Primary Advisor: Roger Easton)
  10. Marcus Stefanou (Ph.D.), Spectral image utility for target detection applications, July 2008 (Primary Advisor: John Kerekes)
  11. Matthew Montanaro (Ph.D.), Radiometric modeling of mechanical draft cooling towers to assist in the extraction of their absolute temperature from remote thermal imagery, May 2009
  12. Shawn Higbee (Ph.D.), A Bayesian approach to identification of gaseous effluents in passive LWIR imagery, September 2009 (Primary Advisor: David Messinger)
  13. Ariel Schlamm (Ph.D.), Characterization of the spectral distribution of hyperspectral imagery for improved exploitation, April 2010 (Primary Advisor: David Messinger)
  14. Aaron Gerace (Ph.D.), Demonstrating Landsat's new potential to monitor coastal and inland waters, May 2010 (Primary Advisor: John Schott)
  15. Jaqueline Speir (Ph.D.), Validation of 3D radiative transfer in coastal-ocean water systems as modeled by DIRSIG, July 2010 (Primary Advisor: John Schott)
  16. Karl Walli (Ph.D.), Relating multimodal imagery data in 3D, July 2010 (Primary Advisor: John Schott)
  17. Aaron Weiner (Ph.D.), A systems level characterization and tradespace evaluation of a simulated airborne Fourier transform infrared spectrometer for gas detection, July 2010 (Primary Advisor: David Messinger)
  18. Chabitha Devaraj (Ph.D.), Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model validation and impact of polarization phenomenology on material discriminability, August 2010 (Primary Advisor: John Schott)
  19. Rodolfo Montez (Ph.D.), X-rays from planetary nebulae, September 2010 (Primary Advisor: Joel Kastner)
  20. Brian Flusche (Ph.D.), An analysis of multimodal sensor fusion for target detection in an urban environment, January 2011 (Primary Advisor: John Schott)
  21. Xiofeng Fan (Ph.D.), Automatic registration of multi-modal airborne imagery, May 2011 (Primary Advisor: Harvey Rhody)
  22. Alvin Spivey (Ph.D.), Multiple scale landscape pattern index interpretation for the persistent monitoring of land-cover and land-use, May 2011 (Primary Advisor: Anthony Vodacek)
  23. Feng Li (Ph.D.), Optimizations and applications in head-mounted video-based eye tracking, August 2011 (Primary Advisor: Jeff Pelz)
  24. Nima Pahlevan (Ph.D.), An integrated physics-based approach to demonstrate the potential of the Landsat Data Continuity Mission (LDCM) for monitoring coastal/inland waters, February 2012 (Primary Advisor: John Schott)
  25. Sarah Paul (Ph.D.), Subpixel temperature estimation from single-band thermal infrared imagery, August 2013
  26. May Casterline (Ph.D.), Physics-based surface energy model optimization for water bodies in cold climates using visible and calibrated thermal infrared imagery, November 2013
  27. Weihua Sun (Ph.D.), Knowledge-based feature extraction and spectral image enhancement from remotely sensed images, November 2013 (Primary Advisor: David Messinger)
  28. Alvaro Rojas Arciniegas (Ph.D.), Towards the control of electrophotographic-based 3-dimensional printing: Image-based sensing and modeling of surface defects, December 2013 (Primary Advisor: Marcos Esterman)
  29. Shaohui Sun (Ph.D.), Automatic 3D building detection and modeling from airborne LiDAR point clouds, December 2013
  30. David Nilosek (Ph.D.), Analysis and exploitation of automatically generated scene structure from aerial imagery, April 2014
  31. Monica Cook (Ph.D.), Atmospheric compensation for a Landsat land surface temperature product, October 2014 (Primary Advisor: John Schott)
  32. Jiangqin Sun (Ph.D.), Temporal signature modeling and analysis, December 2014 (Primary Advisor: David Messinger)
  33. Katie Salvaggio (Ph.D.), A voxel-based approach for imaging voids in three-dimensional point clouds, May 2015
  34. Tyler Carson (Ph.D.), Signature simulation and characterization of mixed solids in the visible and thermal regimes, July 2015
  35. Siyu Zhu (Ph.D.), Text detection in natural scenes and technical diagrams with convolutional feature learning and cascaded classification, May 2016 (Primary Advisor: Richard Zannibi)
  36. Justin Harms (Ph.D.), The design and implementation of GRIT-T: RIT's next-generation field-portable goniometer system, July 2016 (Primary Advisor: Charles Bachman)
  37. Rajagopalan Rengarajan (Ph.D.), Evaluation of sensor, environment and operational factors impacting the use of multiple sensor constellations for long term resource monitoring, July 2016 (Primary Advisor: John Schott)
  38. Troy McKay (Ph.D.), Detection of anomalous vehicle loading, August 2016
  39. Kelly Laraby (Ph.D.), Landsat surface temperature product: Global validation and uncertainty estimation, May 2017 (Primary Advisor: John Schott)
  40. Colin Axel (Ph.D.), Towards automated analysis of urban infrastructure after natural disasters using remote sensing, June 2017 (Primary Advisor: Jan van Aardt)
  41. Fan Wang (Ph.D.), Understanding high resolution aerial imagery using computer vision techniques, August 2017 (Primary Advisor: John Kerekes)
  42. Timothy Gibbs (Ph.D.), Physical property extraction of powder contaminated surfaces from longwave infrared hyperspectral imagery, September 2017 (Primary Advisor: David Messinger)
  43. Ronald Kemker (Ph.D.), (DRAFT) Low-shot learning for the semantic segmentation of remote sensing imagery, August 2018 (Primary Advisor: Christopher Kanan)
  44. Chi Zhang (Ph.D.), Evolution of a common vector space approach to multi-modal problems, October 2018
  45. Zhaoyu Cui (Ph.D.), System engineering analyses for the study of future multispectral land imaging satellite sensors for vegetation monitoring, December 2018 (Primary Advisor: John Kerekes)
  46. Shagan Sah (Ph.D.), Multi-modal deep learning to understand vision and language, December 2018 (Primary Advisor: Raymond Ptucha)
  47. Mohammed Yousefhussein (Ph.D.), Deep learning methods for 3D aerial and satellite data, April 2019
  48. Ryan Connal (Ph.D.), Currently in progress
  49. Rehman Eon (Ph.D.), Currently in progress (Primary Advisor: Charles Bachmann)
  50. Fu Jiang (Ph.D.), Currently in progress (Primary Advisor: Mark Fairchild)
  51. Mahshad Mahdavi (Ph.D.), Currently in progress (Primary Advisor: Richard Zanibbi)
  52. Baabak Mamaghanni (Ph.D.), Currently in progress
  53. Jonathon Miller (Ph.D.), Currently in progress
  54. Sanketh Moudgalya (Ph.D.), Currently in progress (Primary Advisor: Nathan Cahill)
  55. Yue Wang (Ph.D.), Currently in progress (Primary Advisor: Emmett Ientilucci)
  56. Cody Webber (Ph.D.), Currently in progress (Primary Advisor: John Kerekes)

In the past, I have offered the following undergraduate, graduate, and industry/government short courses at the Center and in other venues



Current Activities

Past Activities







Nominated for the "RIT Board of Trustees Scholarship Award" at RIT

Nominated for the "RIT Board of Trustees Scholarship Award" at RIT

Recipient of the "Outstanding Student Advisor" award at the "RIT College of Science Annual Dean's Honors, Awards, and Recognitions" ceremony for dedication and outstanding mentoring of our students

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT

Nominated for the "Exemplary Online Learning Faculty Award" sponsored by the Online Learning department at RIT

Nominated for the "Exemplary Online Learning Faculty Award" sponsored by the Online Learning department at RIT

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT

Recipient of "RIT Student Government, College of Science, Fall Faculty of the Quarter"

The College of Science Student Advisory Board has recognized an outstanding faculty member each term this year with a new COS Faculty of the Quarter Award. Winners are nominated by students and selected by members of the COSSAB based on their dedication and enthusiasm shown to the student body. The award is unique within COS and is recognized by Student Government. Award winners are, from left to right, Carl Salvaggio, professor of imaging science and winner of the fall quarter, Robert Rothman, professor of biological sciences and winner of the spring quarter, and Matthew Coppenbarger, professor of mathematics and statistics and winner of the winter quarter. (RIT News and Events, May 2004)