CARL SALVAGGIO, Ph.D. Professor 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.

CONTACT

PROFESSIONAL SOCIETIES

CAREER

EDUCATION

RESEARCH

CURRENT-FUNDED RESEARCH CONTRACTS/GRANTS/GIFTS

PAST-FUNDED RESEARCH CONTRACTS/GRANTS/GIFTS

L3Harris Corporation

Trilobyte Autonomous Learning for Full-Spectrum Simulations

RIT will generate valuable multimodal sUAS-based image data of a single scene. RIT will generate a corresponding DIRSIG scene and accompanying synthetic image data for training using deep learning techniques used in prior research to automatically build and label a synthetic scene.

RIT Project Number:	37218
Funding:	$284,694
Period of Performance:	September 1, 2020 to December 31, 2022

Savannah River National Laboratory / United States Department of Energy

Mechanical Draft Cooling Tower Water Vapor Plume Volume Estimation

RIT will develop, evaluate, and deploy an imaging system (ground-based and/or small unmanned aircraft-based) along with a computer vision/image processing-based analysis system to determine the volume of a water vapor plume. This project will carry out a long-term collection campaign where data will be gathered under seasonal variations and used to guide the development of processing algorithms and testing the efficacy of the system to predict plant operating characteristics.

RIT Project Number:	32529
Funding:	$751,226
Period of Performance:	February 21, 2020 to February 20, 2023

L3Harris Corporation

Deep Learning Data Integrity

RIT has three goals in this project; to 1) generate valuable multimodal sUAS-based image data of a single scene, 2) generate a corresponding DIRSIG scene and accompanying synthetic image data for training, and to 3) test, evaluate, and understand the following deep learning activities; a) generative adversarial networks to simulated real scenes from DIRSIG simulations, and b) semantic segmentation using synthetically-augmented training data.

RIT Project Number:	37149
Funding:	$123,500
Period of Performance:	June 10, 2019 to June 30, 2020

Harris Corporation

Infrastructure and Agricultural Monitoring Using UAS Imaging

RIT will study and construct an end-to-end data processing pipeline that considers data capture thru information product generation. Harris Corporation has multiple system components such as OneButton, ENVI, Jagwire, etc. that will be studied for inclusion in the processing system pipeline. The project will also target specific applications focused on using UAS for infrastructure and agricultural monitoring as a means of evaluating the efficacy of UAS while jointly assessing the business potential and opportunities for Harris Corporation.

RIT Project Number:	37038
Funding:	$247,500
Period of Performance:	May 15, 2017 to May 14, 2020

NYSEARCH / Northeast Gas Association

Small Unmanned Aerial Systems (sUAS) Gas Infrastructure Inspection Research

RIT will conduct a series of investigations that are foundational to the development of automated processes for inspecting gas transmission infrastructure using small Unmanned Aerial Systems (sUAS)-based imaging and image processing techniques.

RIT Project Number:	37003
Funding:	$110,000
Period of Performance:	April 15, 2017 to March 28, 2018

United States Department of Agriculture (USDA) / Cornell University

Transforming White Mold Management in Snap Beans Through Remote Sensing

RIT will support Cornell University in their study of remote sensing applied to the monitoring of disease in snap beans. Snap beans are the fifth largest vegetable crop nationally in terms of acreage. Last year, there were 158,920 acres harvested for processing and 71,170 acres harvested for fresh market, with a combined value of $416 million. New York ranks second in both processing (20,420 acres planted) and fresh market (10,200 acres planted) production. White mold caused by the fungus, Sclerotinia sclerotiorum is amongst the most devastating and recalcitrant plant diseases worldwide, and results in substantial annual losses to snap bean production across the United States. This project offers a unique multi-disciplinary approach to reducing crop loss from white mold in snap beans by improved detection of spectral signatures associated with phenological development to optimize the efficacy of tools currently available to growers. The outcomes will be immediately available for adoption by growers through enhanced utilization of existing technologies. The involvement of stakeholders and extension personnel in the inception and incubation of this project and continuing support by service in an advisory group role will ensure that robust digital tools and delivery platforms are identified and successfully integrated into future farming practices. This project will enhance the capacity of farmers to effectively capture the rapid advances recently made in the imaging sciences and precision agriculture for economic growth.

RIT Project Number:	31788
Funding:	$148,440
Period of Performance:	March 15, 2017 to March 14, 2019

New York State - NYSTAR / University of Rochester - Center for Electronic Imaging Science

Video Analysis and Summarization Research

A cost-share project to 36963 under which RIT will obtain a high-performance computational machine capable of performing the training necessary for the deep learning aspects of the video segmentation process.

RIT Project Number:	33692
Funding:	$11,378
Period of Performance:	July 1, 2016 to June 30, 2017

Property Drone Consortium

Drone-Beased Roof Inspection Research

RIT will conduct a series of investigations that are foundational to the development of automated processes for determining roof health and for mapping defects using imaging and image processing techniques. Roofs can be relatively complex geometric structures constructed with a variety of materials. To make this a more tractable problem, the proposed research investigations will focus on residential buildings with gable roofs and asphalt shingles. Specifically the research will focus on understanding the phenomenology of various roof defects, identifying possible imaging techniques to detect those defects, and developing processing approaches to extract the desired information.

RIT Project Number:	36983
Funding:	$187,893
Period of Performance:	June 1, 2016 to December 31, 2017

Rochester Institute of Technology

Signature Interdisciplinary Research Areas - Center for Unmanned Aircraft Systems Research

The Center is built off of existing unique infrastructure and capabilities in the unique and very strong Imaging Science program in the College of Science and the Aeronautical Engineering program in the College of Engineering to create a Research Center in UAS-based imaging and operations that is second to none. Other RIT entities such as Public Policy in the College of Liberal Arts and Mechanical Engineering Technology in the College of Applied Science and Technology provide a well rounded view of this emerging technology area. The Unmanned Aircraft System (UAS) research center is focused on 1) the capture and processing of multi-modal image data from UAS for various applications, 2) collision avoidance and anti-drone technology for safer UAS operations, and 3) public policy with emphasis on privacy and economic impact.

RIT Project Number:	62434.15920
Funding:	$1,000,000
Period of Performance:	February 1, 2016 to January 31, 2021

Kodak Alaris

Video Analysis and Summarization Research

RIT will advance the state-of-the-art in the areas of video content understanding and summarization through this effort. The goal of this research is to propose and validate a unified video analytics framework for automatically processing, analyzing, segmenting, and summarizing "unstructured" and "unrestricted" consumer videos published to the internet (YouTube, Facebook, etc). This research will also investigate and prototype new video and multimedia applications using the proposed framework and related algorithms developed.

RIT Project Number:	36963
Funding:	$172,353
Period of Performance:	November 1, 2015 to October 31, 2017

Central Inteligence Agency IC Post Doctorate Fellowship Program (FY14)

A three-dimensional visualization environment for archival and synthetic imagery to aid in analysis and tasking

This fellowship will focus on the inclusion on three-dimensional models extracted from LiDAR or dervived from multiple-view imagery into a geographically-based visualization system for utilization by analysts in planning and exploitation scenarios. Existing geographically-tagged image products will be registered to the base imagery in these visualization systems so that they are available as applied texture to the created geometry using multimodal registration of disparate data sets (visible, NIR, SWIR, emissive infrared, maps, and charts) using techniques such as maximum mutual information (MMI). The geometries will be attributed with optical, thermodynamic, and RADAR properties so that the key parameters are in place to generate synthetic imagery under any temporal, meteorological, and geometric conditions collected with any of the currently available imaging modalities available in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) simulation environment. The intent of this research is to create an integrated environment from which the currently "browsed" geometry may be either visualized using existing imagery or synthetically-derived imagery under analyst specified conditions.

RIT Project Number:	31478
Funding:	$360,000
Period of Performance:	August 13, 2014 to August 12, 2017

National Science Foundation

NSF REU: Imaging in the Physical Sciences

The NSF REU Program Imaging in the Physical Science (IPS) is a new proposed by the Chester F. Carlson Center for Imaging Science (CIS) at Rochester Institute of Technology (RIT). CIS is a highly interdisciplinary University Research and Education Center, dedicated to pushing the frontiers of imaging in all of its forms and users. THE IPS REU program will introduce young scientists to research in a highly interdisciplinary environment, where cross-disciplinary team problem solving is the norm. The IPS REU has the following seven specific goals: i) Involve undergraduates from very diverse majors (starting as early as summer after their freshmen or sophomore years in college) in a 10-week long coherent research experience in an interdisciplinary environment, while enabling them to produce scientific results of international caliber, ii) Involve undergraduates in problem-based research, encouraging them to think across boundaries and between fields. Encouraging students to understand how innovation and creativity can be strong tools for scientific research; iii) Specifically reach out the Deaf or Hard of Hearing students to develop an understanding of how to provide the community an engaging and welcoming arena in which to engage in STEM research opportunities; iv) Understand how to interact with Native Americans who may be key candidates to engage in STEM careers in a variety of settings, and learn how to engage them in research experiences, and continue that interest fields. We will also assess the implementation and impact of our REU Program.

RIT Project Number:	31421
Funding:	$273,044
Period of Performance:	February 15, 2014 to January 31, 2017

Chester F. Carlson Center for Imaging Science

RIT Immersive Living Room

This effort aims at creating an "immersive living room" environment. Utilizing a television, projector, webcam, and Microsoft Kinect, the system will augment a traditional television-based living room media environment. The aim is to produce a platform that can be used to generate a variety of different augmentation experiences, including video games, motion picture augmentation, and retexturing of the living room environment.

RIT Project Number:	15859
Funding:	$3,000
Period of Performance:	November 1, 2013 to June 30, 2014

Office of Naval Research / Department of the Navy / Department of Defense

Signatures Modeling, Derivation, and Exploitation

This effort is intended to enhance the public's capability to derive spectral signatures from field measurements that can be used to develop new and enhance existing signature exploitation algorithms and foster recommendations for future imaging system designs to improve performance in experimental and operational situations.

RIT Project Number:	31370
Funding:	$50,000
Period of Performance:	July 18, 2013 to December 31, 2014

CACI

START-X ISP Signatures and SWIR Measurement Support

RIT will provide technical support to CACI for joint activities with the DIA Signature Support Program (SSP) and the Joint Improvised Explosive Device Defeat Organization (JIEDDO) Integrated Signatures Program (ISP). Consultation and advisory support will be provided to CACI for data collection, training, and analytical services in support of the DIA SSP and JIEDDO in two main task areas; research and development support of new data base signature entries and measurements.

RIT Project Number:	31322
Funding:	$5,172
Period of Performance:	February 1, 2013 to September 30, 2013

Florida International University

ALTA Systems Imaging Module

PHASE 3 - RIT will design and produce an analog-to-digital conversion (ADC) external-sensor recording module for the existing ALTA imaging platform. This module will consist of a custom-design printed circuit board (PCB) having the same form factor as the other components of the electronics stack in the imaging module so that it can be seamlessly incorporated into the existing architecture. This board will replace the current, heavily-modified, 'Zippy' board used for I/O with current imaging module devices and allow for greatly reduced assembly time and skill set that are required for future imaging module assembly. The board will replicate current capabilities; 3 pulse-width modulated servo motor controllers, camera multiplexer interface, asynchronous serial communications for GPS, I2C interface for the inertial measurement unit, and a SD card slot for on-board data storage. New to this board will be 8 analog input channels capable of recording the voltage produced by external sensors (e.g. temperature, humidity, barometric pressure, carbon dioxide levels, etc.). These sensor voltage readings will be able to be time-coincidently recorded with geographic positioning system (GPS) information already on the ALTA and stored to local memory on the balloon. These data will also be incorporated into the message regularly transmitted wirelessly to the ground-based server for later use or for immediate access from an iOS-based client. PHASE 4 - RIT will design and assemble the next generation ALTA imaging module (code named R1) that will attach to the upcoming rotational mount on the balloon platform. As part of this effort, RIT will explore the latest IMU and GPS modules available to assure the best performance and availability into the future. PHASE 5 - RIT will design and produce an analog-to-digital conversion (ADC) external-sensor recording module for the existing ALTA imaging platform. This module will consist of a custom-design printed circuit board (PCB) having the same form factor as the other components of the electronics stack in the imaging module so that it can be seamlessly incorporated into the existing architecture. PHASE 6 - RIT will perform server updates to support the R-series production testing, support the integration of collected imagery services, and participate in the design and prototyping of the S-series board and power supply, and investigate camera updates/alternatives, and provide ongoing support to the production teams. RIT will also participate in the design of the Parrot-series networking/downlink concept. Perform pre-prototype testing and develop design alternatives. PHASE 7 - RIT will provide consultation/oversight of the mechanical development of the gimbal (G) series prototype for a balloon mounted imaging system. RIT will design, integrate, prototype, and develop a production design for the next generation ALTA imaging platform based on commercially-available processors, cameras, guidance, and communications hardware with a custom daughterboard to integrate the components and provide external hardware control and interface to air quality sensors. The intent of this item is to enable the production of 1000 units in a timely fashion by ALTA/FIU personnel. Finally, RIT will develop a prototype "smart reel" that will communicate is position to the balloon-borne platform for inclusion in the downlinked metadata stream. PHASE 8 - RIT will be developing the electronic control systems for the LightForce Technologies "smart reel" to control the ALTA imaging systems altitude during collection as well as provide a real-time video downlink for both visible and thermal infrared video cameras on board the platform. In addition, investigation into the feasibility of incorporating a multispectral camera (commercial or custom developed) and initial prototyping will be carried out for inclusion in the ALTA G-series imaging platform for costal water quality studies.

RIT Project Number:	36823
Funding:	$180,279
Period of Performance:	January 18, 2013 to December 31, 2014

Chester F. Carlson Center for Imaging Science

Design and Development of an Open Source High-Speed Flash Trigger

High-speed photography has long been an area of intense specialization, requiring thousands of dollars of investment before any images can be created. With modern computing technology, the creation of high-speed imaging systems is fairly straight-foward. Even though current technology enables the creation of these system with fewer obstacles than in the past, most current market options are prohibitively expensive. As a result, the development of an affordable Arduino-based high-speed imaging system fills a void in the high-speed imaging community. This project is directed at the development of an open-source platform enabling RIT to continue to build its reputation in the high-speed imaging community while simultaneously strengthening inter-departmental support and providing access to a useful tool for the instruction of high-speed photography on campus.

RIT Project Number:	15819
Funding:	$5,150
Period of Performance:	December 1, 2012 to July 1, 2013

Florida International University

ALTA Lantern Imaging Module - PHASE 2

RIT will construct, test, and deliver two prototype imaging modules with identical components to that initially constructed for ALTA Systems. These modules consist of a BeagleBoard ARM-based processor, two camera boards, GPS, magnetometer, attitude sensor, battery pack, on-board storage, and a cellular modem for wireless communication. In addition, these modules will contain a custom-designed servo motor control board for commanding the flight components of the system. All components are enclosed in a water-resistant plastic polymer enclosure.

RIT Project Number:	36814
Funding:	$10,000
Period of Performance:	November 1, 2012 to January 31, 2013

ALTA Pix Incorporated

ALTA Lantern Imaging Module

Alta Pix Incorporated (ALTA) is producing a lighter-than-air platform to be used in the collection of low-altitude aerial photography by individual "Alta Drifters" around the world. These "drifters" are expected to be individual hobbyists, corporations, and military personnel. Platform altitudes are expected to be between 50 and 200 feet above ground level (AGL) enabling extremely high-resolution imagery to be collected with low-cost equipment. The low cost and ease of use will enable membership and participation as a "drifter" by anyone wishing to become part of this community of imagery providers over areas of interest worldwide.

The scope of the RIT research is to develop a one-to-multiple camera module, capable of collecting and storing full resolution imagery on-board, while delivering low-resolution "scout" mode imagery to a web-accessible server in near real-time utilizing existing 3G cellular data networks available in most major population centers. The system will collect geolocation information and heading using GPS and imaging module attitude using on-board gyroscopes/accelerometers for each image collected.

RIT Project Number:	36742
Funding:	$104,020
Period of Performance:	August 1, 2011 to August 31, 2012

Exelis Geospatial Systems

3D Geometry Models from WAAS Data

The intent of this work is to extend current automated 3D point cloud extraction techniques on large format Wide Area Airborne System (WAAS) data sets. ITT will provide RIT with example visible and IR WAAS data of downtown Rochester, NY. ITT will also provide support in the understanding and processing of the WAAS data such as position/orientation data and image file formats. Under this contract, RIT will provide ITT software and resulting process workflows for the automatic creation of 3D point clouds. In addition, fusion of the 3D point cloud data with the high temporal WAAS data, both visible (panchromatic) and infrared will be accomplished with the intent of creating a value added product to the data for ITT.

RIT Project Number:	C1176
Funding:	$160,000
Period of Performance:	August 1, 2011 to July 31, 2014

Chester F. Carlson Center for Imaging Science

A Feature-based Classifier for Dragonflies and Damselflies

Unique patterns present in the wings of dragonflies and damselflies can be used to determine their family, genus, and species. A method for classifying dragonflies and damselflies using a particular pattern known as the triangle was developed using scanned images of the wings. Digital image processing techniques, such as image segmentation and feature detection, are used to determine properties of the triangle useful for classification. These properties are then compared against a triangle property database of known dragonflies and damselflies. A prototype implementing this method has been shown to demonstrate a high degree of accuracy.

RIT Project Number:	15705
Funding:	$5,000
Period of Performance:	May 1, 2011 to May 31, 2012

National Science Foundation

NSF REU: Imaging in the Physical Sciences

The National Science Foundation (NSF) Research Experiences for Undergraduates (REU) program, Imaging in the Physical Sciences (IPS), will introduce young scientists to research in a highly interdisciplinary environment, where cross-disciplinary team problem solving is the norm. The IPS REU has the following seven specific goals: (i) involve undergraduates from a wide range of host institution type, gender, and ethnicities in a coherent and extendable (multi-year) research experience, starting after their freshman or sophomore years; (ii) involve undergraduates originating from a specific science or engineering major in a highly interdisciplinary research environment, engaging them to work in teams across traditional disciplinary boundaries in problem-based research; (iii) expose students to the emerging field of imaging science and its many and varied application areas; (iv) encourage students to pursue graduate studies in STEM; (v) assist students in the dissemination of their research; (vi) create an ongoing research incubator environment for the students, including feedback from advisory scientist external to RIT, mentoring in public speaking, scientific writing, and social engagement; (vii) assess the implementation and impact of our REU program.

RIT Project Number:	31120
Funding:	$220,000
Period of Performance:	April 1, 2011 to October 1, 2014

Savannah River National Laboratory / United States Department of Energy

The Detection of Anamalous Vehicle Loading Using Remote Sensing Techniques

In a scenario where nuclear fuel rods are being transported in a shielded transport truck concealed as a commercial vehicle, there may be several remotely detectable signatures. Assuming that payload and shielding material would result in an anomalous increase in the overall vehicle weight, increased frictional forces on the vehicle braking mechanism will result. These increased forces would elevate temperature differences relative to other vehicle components which would be greater than those for vehicles with a standard load. In addition, an overloaded vehicle will exhibit a decreased rate of acceleration and increased diesel exhaust when starting from a stopped position and increased acoustics from engine braking while decelerating at an upcoming traffic control signal. These observables could be indirect indicators of clandestine trafficking of nuclear material.

As a detection mechanism, thermal infrared remote sensing techniques may be used from a stationary position near a traffic-controlled intersection. With knowledge of meteorological conditions at the surveilled site, relative temperature differences between the braking hub, the tire sidewall, and other portions of the vehicle can be used as indicators that the vehicle is under unusual stress due to load. A second observable is the rate of acceleration of a previously flagged suspicious vehicle. This might confirm that the vehicle is indeed carrying a heavier than normal load when compared to historical traffic at that same intersection. Diesel exhaust plume density/size may provide a third observable that may be detected with a traditional visible imaging system or the previously described thermal infrared system. Third, an acoustical sensor and traditional frequency-domain processing techniques may be able to identify vehicles exhibiting anomalous engine braking patterns due to the increased vehicle load.

RIT Project Number:	31057
Funding:	$600,183
Period of Performance:	September 28, 2010 to May 30, 2013

Savannah River National Laboratory / United States Department of Energy

Enhanced Image Rendering Engine for DIRSIG

RIT will provide directed development support and interface definition to allow the DIRSIG environment to serve as an image-rendering engine for the three-dimensional physics-based modeling being carried out by the DOE. As DIRSIG is already a first-principles physics-based environment for optical interactions at the target surface, propagation through the atmosphere, interactions with the mechanics of the sensing platform, and sensor response and artifact modeling for most available types of imaging systems in use today, the further opening of this environment to allow input from the DOE modeling community with respect to phenomenological scenarios involving nuclear nonproliferation would allow a full, end-to-end system for which the imaging product produced can serve as data for a variety of purposes such as algorithm development and testing, system design trade-off studies, and scenario-driven modality selection. Given current DIRSIG capabilities to model passive systems such as spectral and hyperspectral devices, thermal infrared sensors as well as active systems such as LIDAR and RADAR, and the physical process modeling available from current DOE researchers, this integration would enable very comprehensive system trade studies and future sensor system simulations directed at the complex nonproliferation problem. As part of this effort, RIT will:

1. Enhance the current capabilities of DIRSIG for the prediction of target surface temperatures by incorporating the MuSES infrared signature prediction model. MuSES will allow DIRSIG to model active targets in a complex meteorological environment with far greater fidelity than is currently possible. The interface of this model will be accomplished in such a way that other current or future temperature prediction codes may be easily used in its place.
2. Improve the current automated vehicular traffic capabilities in DIRSIG by allowing for anomalous movements to occur such as unusual stops or off-road movements. RIT sees this as advantageous for a dynamic persistent surveillance scenario.
3. Develop a simplified flight-planning interface to allow the modeler to quickly plan a collection scenario using a UAV type collection platform. DIRSIG can currently follow a flight plan but this requires a great deal of user interaction and modification of configuration files. RIT will evaluate existing flight planning methods in use by the DOE and the community at large and apply a best effort at integrating these existing tools. If this is not possible, a custom approach will be developed that will emulate the best features found in the existing approaches.
4. Create automatic scene building for DIRSIG based upon contextual inputs including geographic information system descriptive layers and/or multi-view airborne imagery collections. The intent of this task is to greatly accelerate and automate the most time consuming task in the DIRSIG workflow, the scene creation process.

RIT Project Number:	30958
Funding:	$700,000
Period of Performance:	September 19, 2008 to September 18, 2013

Savannah River National Laboratory / United States Department of Energy

Accurate Radiometric Temperature Measurements Using Thermal Infrared Imagery of Small Targets, Physics-Based Modeling, and Companion High-Resolution Optical Image Data Sets

A physics-based target space approach to small target temperature determination is being developed that will allow targets that are the same size as a thermal infrared sensor ground sampling distance to be interrogated for subsequent analysis.

Current approaches to this problem employ traditional frequency domain restoration techniques that are based upon an estimate of the point spread function of the sensing system. This approach, however, is subject to error for a number of reasons. The point spread function of the entire collection system includes spatial blurring due to atmospheric scattering and sensor motion. These parameters are typically not included in the solution and as such the process produce errant answers. Additionally, these traditional techniques work for targets that occupy several pixels in a scene, not for single or subpixel sized targets.

The proposed approach will use the DIRSIG synthetic image modeling code to produce hundreds or thousands of possible candidate images of the target/background under examination. Different positioning of the target relative to the sensor sampling array will be generated as well as varying background and target temperature combination. This create synthetic target space will be developed so as to include the actual scenario encountered. Image matching techniques will be used to compare the actual thermal image to each synthetic image in the target space to find the best match and therefore the most likely set of physical parameters.

A complete validation and verification of the developed technique will be carried out using modeled data, data collected from a fixed imaging platform with full control over all target space parameters, and in a real-world airborne image collection experiment. Data will be collected so that an assessment of accuracy of this proposed technique may be assessed.

RIT Project Number:	30830
Funding:	$656,751
Period of Performance:	September 19, 2008 to September 18, 2013

Central Inteligence Agency IC Post Doctorate Fellowship Program (FY08)

Image-Based Determination of Polarized Bidirectional Reflectance Distribution Function For In-Field Characterization of Materials

This fellowship will focus on the development of novel experimental techniques and complementary modeling tools to accurately predict the polarized bi-directional reflectance distribution function (BRDF) of a variety of materials of interest to the remote sensing community. In addition, the research will develop a collection methodology for measuring polarized BRDF remotely for denied targets. The experimental techniques will take advantage of an image based approach to BRDF measurement with emphasis on deriving the polarized Mueller scattering matrix form of the BRDF.

RIT Project Number:	30866
Funding:	$359,960
Period of Performance:	September 4, 2008 to April 20, 2012

Savannah River National Laboratory / United States Department of Energy

Ice Characterization Using Remote Sensing Techniques

RIT is collaborating with the Savannah River National Laboratory (SRNL) to extend the capabilities of the ALGE hydrodynamic code to include simulations of surface ice formation and melting in cooling lakes that receive heated effluent from nuclear reactors operating in cold climates and collect the data needed to validate this extended version of the ALGE code at suitable locations in the northern US or Canada. SRNL uses the ALGE code to perform technical analyses of heat-generating industrial facilities for DOE and other government agencies. At present, ALGE simulations of cooling lakes and other bodies of water being used to dissipate waste heat from nuclear reactors are restricted to ice-free conditions. This restriction prevents imagery analysis for more than one-half the year at some northern sites. The extension to the ALGE code proposed here will allow year-round applications of the code which will result in more rapid completion of technical analyses.

RIT Project Number:	30789
Funding:	$849,971
Period of Performance:	January 22, 2008 to September 30, 2011

Central Inteligence Agency IC Post Doctorate Fellowship Program (FY06)

Effects of Humidity On Atmospheric Transmission For Infrared Sensors

This fellowship will perform a comparative analysis of ship-based thermal infrared spectroradiometer measurements against MODTRAN simulations incorporating humidity dependent aerosol nucleation effects.

It is commonly assumed that scattering effects are negligible in the thermal infrared region. This, however, is based on standard atmospheric and aerosol models that have particle size distributions that are heavily weighted and have maximum concentrations in the sub-micron range. While particle concentrations in the super-micron range are orders of magnitude smaller than its submicron counterparts, certain conditions of high humidity may significantly increase their concentrations to levels that may impart scattering effects in the thermal infrared regions.

This hypothesis will be tested using the MODTRAN radiative transfer model (Berk 1989) coupled with the NOVAM - Navy Oceanic Vertical Aerosol Model (Gatham 1993). Given the nature of the data set from Explorer of the Seas ARM facility, this is a logical approach since oceanic aerosols will be inherent to the environment of the surface based measurements. The NOVAM model will be used to obtain first order estimates of potential aerosol effects and indicate possible aerosol nucleation mechanisms describing the concentrations of larger hygroscopic aerosols and their particle size distributions (Leeuw 1992). Currently, the NOVAM model supports three mode radii (peak of the particle size distribution) of 0.03, 0.24, and 2.0 microns. Modifications to the model to include larger mode radii will be investigated to support the thermal scattering hypothesis.

RIT Project Number:	30632
Funding:	$239,926
Period of Performance:	August 17, 2006 to February 16, 2009

DP Instruments / Environmental Protection Agency

Gaseous Effluent Detection System

RIT will perform a system integration of the DP Instruments MARLIN high-speed FTIR spectrometer with a FLIR Systems GasFindIR camera to create a bore-sighted or common-optic system capable of imaging effluent gas plumes and making spectral signature measurements at a central location in the field of view. RIT will further perform a proof-of-concept field study with this system against controlled gas releases. Once the data is collected, RIT will continue to analyze this data by producing an analysis software capability to perform gas identification and volume/rate-of-release estimations.

RIT Project Number:	30603/30652
Funding:	$47,400
Period of Performance:	May 1, 2006 to November 30, 2006

Savannah River National Laboratory / United States Department of Energy

Exploitation Tool For Mechanical Draft Cooling Towers

RIT will provide support to gain insight into the phenomenology that influences the radiance field leaving the interior of a mechanical-draft cooling tower (MDCT). The DIRSIG modeling capability will be enhanced such that the models produced reflect, as accurately as possible, the actual data gathered with real airborne infrared imaging systems. These modeling efforts will focus on the phenomenology associated with "cavern-like" targets with numerous material types internally contained. This effort will be cyclical in nature with modeling approaches continually modified based on newly discovered phenomenology observed in real image data. The desired outcome of the modeling will be accurate internal-element emissivities and temperatures for the components that comprise the cooling tower for use with an external process model developed by Savannah River National Laboratory.

RIT Project Number:	30571
Funding:	$457,820
Period of Performance:	February 2, 2006 to June 30, 2009

MITRE Corporation / Central Intelligence Agency

ITIC Spectroradiometry Program Support

RIT will provide support to the government as a critical participant in the National Signatures Program (NSP) working group monthly meetings. The NSP is responsible for the establishment of spectral measurements standards for solid, liquid, and gaseous materials. Standards in the form of measurement methodologies, formats, metadata, etc. fall within the purview of this group. RIT has been asked to be the representative for the government organization that funds and oversees this program to provide guidance, experience, and critical review to/of this programs efforts and to report back to the supporting organization with impressions and advice.

RIT Project Number:	30517/30654
Funding:	$56,289
Period of Performance:	February 1, 2005 to July 31, 2007

National Reconnaissance Office (NRO) - LASS 2004/05 (CLIN 002)

Spectral Database Development

RIT will provide support through the Laboratory for Advanced Spectral Sensing for the development of an enhanced full spectrum material reflectance database to support more realistic simulations in the DIRSIG model. Current database holdings will be evaluated and test plan developed and executed to provide additional spectra to fill in voids in the current database.

RIT Project Number:	30483
Funding:	$40,000
Period of Performance:	November 1, 2004 to May 31, 2006

Mission Research Corporation / Air Force Research Laboratory (WPAFB)

Calibration Test Target Development For Longwave Infrared Test Chambers

RIT will be providing modeling support in the development of calibration test targets for longwave infrared (IR) test chamber characterization. RIT will utilize its DIRSIG model to represent the interior environment of the IR test chamber located at the WPAFB facility and the potential calibration targets that will be used, performing trade-off and optimization studies as top the efficacy of the designs to choose the proper target to manufacture. RIT will also place certain targets of interest into a cluttered IR background to assist in the design of future chambers with enhanced background capability.

RIT Project Number:	30463
Funding:	$150,009
Period of Performance:	June 15, 2004 to November 11, 2005

ITT Industries / Space Systems Division (ICAP)

Three-Band Temperature Extraction Algorithm

RIT will provide support for the development of new and/or evaluation of existing temperature extraction methodologies for infrared imagery. Techniques using a single band, multiple band, or multispectral/hyperspectral image data will be within the scope of this task. RIT will provide modeling support to produce synthetic imagery for evaluation of these algorithms using DIRSIG as requested. This support will may be in the form of assistance in the development of specific sensor models, specific imaging scenarios, and/or to provide a robust data set as a test-bed for new and existing algorithms. RIT will attend community meetings to report on the algorithm and modeling tasks as well as to provide critical review and/or insight into other proposed methodologies.

RIT Project Number:	30459
Funding:	$188,873
Period of Performance:	May 1, 2004 to September 30, 2006

New York State Office of Cyber Security and Critical Infrastructure Coordination

Selective Degradation Algorithm For Air Photo Imagery Database Applications

RIT will be providing a software tool that will allow the NYS OCSCIC to selectively degrade their online statewide library of aerial photographs to protect critical infrastructure information. As part of the Homeland Security initiative afoot in New York State, the OCSCIC desires a tool that would let them selectively degrade the resolution of their archives of air photos that are available to the public so that potential organizations that would aspire to do harm to these facilities do not have high quality data available to them, while maintaining the quality of the data in other regions for legitimate users. RIT will develop this software tool to key off of OSCCIC supplied shape files and apply the degradation to the library of imagery.

RIT Project Number:	33315
Funding:	$21,039
Period of Performance:	April 4, 2004 to September 4, 2004

BAE Systems

Dynamic Range Adjust Algorithm For Forward-Looking Infrared Imagers

RIT will be utilizing funds provided to the current capital campaign by BAE Systems to support a graduate student in Imaging Science. The student will work on a project of interest to both RIT and BAE Systems for their thesis research project. The student will spend a Summer quarter working at BAE Systems with their scientist and engineers to gain real-world experience during their academic work.

RIT Project Number:	20157
Funding:	$34,306
Period of Performance:	December 1, 2003 to November 30, 2004

Pictometry International Corporation / CEIS

Automated Tie-Point Selection From Oblique Air Photo Imagery

RIT is determining the feasibility of automated tie point identification on numerous oblique air photos collected with the Pictometry system. Once a feasible approach is identified, RIT will be developing prototype software to assist Pictometry in this now largely manual process. This research was funded in part by CEIS, a NYSTAR-designated Center for Advanced Technology.

RIT Project Number:	36291/C3320/33320
Funding:	$26,300
Period of Performance:	September 5, 2003 to September 4, 2004

LaSen, Incorporated / Army Research Laboratory

Feasibility Study For Incorporating LIDAR Into DIRSIG

RIT performed two (2) tasks for LaSen, Incorporated in support of their aircraft-based LIDAR system. RIT investigated the feasibility of modeling a LaSen midwave infrared LIDAR system using DIRSIG with particular attention to spectral resolution, pulse generation, ground resolution, and atmospheric interaction. In addition, RIT made several high-spectral resolution reflectance measurements in the 3 to 5 micron region to aid in current exploitation task being carried out by the sponsor.

RIT Project Number:	30903
Funding:	$7,000
Period of Performance:	May 1, 2003 to September 30, 2003

General Dynamics / National Air Intelligence Center

NAIC Spectral Exploitation Center Spectral Library Support

RIT is supporting the NAIC Spectral Exploitation Center (NSEC) Spectral Library Support initiative by developing laboratory and field spectral library protocols to assure high quality spectral measurements are provide to the library expansion task. In addition, RIT personnel and students are measuring the spectral signatures of materials supplied by the library expansion team as well as those encountered during field exercises using laboratory and field spectrometers. Spectral reflectance measurements are being made from 0.35 through 20 microns for all materials.

RIT Project Number:	30340
Funding:	$470,540
Period of Performance:	October 16, 2002 to September 20, 2004

TEACHING

1051.211 / Programming for Imaging Science

1051.361 / Digital Image Processing I

1051.462 / Digital Image Processing II

1051.463 / Digital Image Processing III

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

1051.553 / Special Topics - Applied Computing for Imaging Science

1051.599 / 1055.359 / Undergraduate Independent Study (Honors Research)

Cynthia Scigaj (Undergraduate)
A study in sensor design specifications was carried out to prepare sensor models for the Digital Image and Remote Sensing laboratories Synthetic Image Generation model (DIRSIG). The student performed a very thorough review of the literature to establish a comprehensive database of sensor characteristics for systems in use today by commercial and government organizations.
Completed: February 2002

Bethany Choate (Undergraduate)
A study to determine whether agglomerative hierarchical clustering used as a pre-cursor to traditional K-mean unsupervised classification as a means of determining the initial cluster mean values provides better selection than the traditional random choice methodology
Completed: May 2005

Jarrett Whetstone (Undergraduate)
An implementation of the seam carving algorithm for dynamic image resizing was undertaken in the IDL programming language to identify any limitations that may be present and demonstrate the viability of this technique.
Completed: November 2007

Erin Schmidtmann (Undergraduate)
A study in programming using the IDL language with applications to image and radiometric processing.
Completed: May 2008

Ann Nunziata (Undergraduate)
A primer class on LabView programming with a specific application to motor and camera control applied to the DIRS laboratory spectrogoniometric BRDF measurement system.
Completed: August 2008

Jon Purington (Undergraduate)
An introduction to Cocoa programming under Mac OS X concentrating on the use of the Apple Core Video library routines for video processing.
Completed: February 2009

Erin Schmidtmann (Undergraduate)
Object-oriented programming in IDL/ENVI with a concentration on the graphical visualization of hyperspectral data cubes.
Completed: May 2009

Sonnie Irons (Undergraduate)
Object-oriented programming in Python with a concentration on imaging related applications.
Completed: February 2013

Lindsay Quandt (Undergraduate)
Implementation of a series of descriptors for the classification of melanoma legions using RGB imagery.
Completed: February 2013

Jackson Roland (Undergraduate)
An investigation into the use of the 'bag of words' algorithm for searching online databases for imagery exhibiting similar features.
Completed: February 2013

Alexis Russell (Undergraduate)
Object-oriented programming in Python with a concentration on imaging related applications.
Completed: February 2013

Glenn Sweeney (Undergraduate)
The design and development of an Arduino shield and the accompanying software library for a general purpose high-speed camera shutter and flash trigger.
Completed: February 2013

Jackson Roland (Undergraduate)
An investigation of the degradation of color filter arrays in GoPro cameras when exposed to UV radiation.
Completed: May 2013

Elizabeth Bondi (Undergraduate)
A self-directed study in object-oriented programming using the C++ programming language for image processing and computer vision applications was undertaken.
Completed: December 2015

Timothy Bauch (Undergraduate)
To modify an existing computerized numerical control (CNC) router tablet accommodate a 35mm camera with macro lens to serve as a close range multi-view imaging testbed for micro scale topological targets of interest such as the surface of paintings, roofing shingles, etc.
Completed: May 2016

1051.762 / Remote Sensing Systems, Sensors and Radiometeric Image Analysis

1051.782 / Introduction to Digital Image Processing

1051.799 / Graduate Independent Study

James Shell (Graduate)
A study to establish the theoretical framework necessary to understand BRDF in the visible to near infrared (VNIR) spectral region was conducteded, along with BRDF measurement techniques. Some popular BRDF models, which enable interpolation of measured data are reviewed. The most general form of the BRDF, that which included polarization, was examined in detail. A viable polarimetric BRDF measurement technique was presented, along with models which may be used to extrapolate the measured data. Potential applications of spectropolarimetric BRDF to remote sensing was reviewed. Finally, a recommendation was made for a simple outdoor BRDF measurement system which enables the application of spatial resolution-dependent BRDF variation toward hyperspectral algorithms and synthetic image generation.
Completed: May 2003

Michael Foster (Graduate)
A study to establish the utility of polarization imagery collected with the LIAS WASP-lite sensor. This work included a system design/performance trade-off of off-the-shelf polarization filters for incorporation in the WASP-lite build being carried out concurrently. In addition, processing algorithms were developed to exploit the future imagery.
Completed: August 2004

Matthew Montanaro (Graduate)
A study to identify and implement numerous mathematical models of bidirectional reflectance functions was carried out. In this study the Priest-Germer, Torrance-Sparrow, Beard-Maxwell, and Ward models were described and implemented in a Matlab based simulation environment.
Completed: May 2006

Sang-Yun Moon (Graduate)
A self-directed study in object-oriented programming using the C++ programming language for image processing and medical imaging system modeling was undertaken.
Completed: August 2006

May Arsenovic (Graduate)
The radiometric and geometric calibration of a constructed image-based spectral gonioradiometer was undertaken. Topics investigated include lamp spectral power distribution, lamp stability, geometric positioning, spectrometer alignment, spectrometer response function, and spectrometer stability. The final product is a LabVIEW control system allowing for calibrated output of spectral bidirectional reflectance factors for sample materials.
Completed: November 2007

Jacqueline Spier (Graduate)
An introduction to object-oriented programming in C++ with the purpose of understanding the numerical radiometric modeling in DIRSIG's photon mapping radiometry solver.
Completed: November 2007

Sang-Yun Moon (Graduate)
A competency in LabVIEW programming was obtained applied to the task of developing a control system for an electron spin resonance spectrometer for the Magnetic Resonnance Imaging laboratory. Visual programming of such tasks as ASCII control codes via RS232 and DAC/ADC board control were mastered during the course of this study.
Completed: November 2008
Primary Advisor: Joseph Hornak

David Nilosek (Graduate)
Design and construction of a three-dimensional structured light scanner was carried out. The system included a digital projector and two Point Grey Grasshopper cameras driven using custom designed Matlab software.
Completed: May 2009

David Nilosek (Graduate)
Refinement of a three-dimensional structured light scanner was carried out. Automation of the post processing of the geometric point clouds was undertaken to allow for rapid production of final product for delivery.
Completed: August 2009

Gregory Rafalski (Graduate)
The development of a purely photogrammetric approach to the construction of three-dimensional geometric image models from multiple-view airborne imagery was undertaken. A comparison to the results obtained from the structure from motion workflow was carried out.
Completed: November 2012

Christian Lewis (Graduate)
A study of the following fundamental concepts of digital video processing was undertaken: optical flow, motion segmentation, point correspondence, and motion tracking. The student focused on learning and implementing basic target tracking algorithms and multi-modal video registration techniques
Completed: December 2013

Mohammed Yousefhussien (Graduate)
This study will focus on the theory and the application of different methods and algorithms used in computer vision field. Such algorithms include, KLT tracker, panorama creation, and some statistical methods applied in the field.
Completed: December 2014

Chi Zhang (Graduate)
This study will cover the theoretical mathematical underpinnings of 3D geometric reconstruction from multi-view imagery. Practical coding exercises leading to a dense point cloud construction will be carried out.
Completed: May 2015

Nicholas Maggio (Graduate)
This study will concentrate at principal lens modeling with the intent of being able to produce vignetting, distortion, and accurate bokeh in the graphics rendering process.
Completed: December 2015

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)

C Programming for Imaging Science (RIT)
C++ Programming for Imaging Science (RIT)
FORTRAN Programming (RIT)
Programming Concepts for Technical Photography (RIT)
Digital Image Processing: Image Compression (RIT)
Principles of Remote Sensing Image Analysis: Radiometry (RIT)
Principles of Remote Sensing Image Analysis: Multispectral Image Analysis (RIT)
Principles of Remote Sensing Image Analysis: Thermal Infrared Remote Sensing (RIT)
Digital Image Processing with Application to Remote Sensing (Royal Canadian Air Force)
Special Topics in Imagery Analysis (NIMA College)

SERVICE

FOR RIT

Current Activities

• College of Science Tenure Committee (9/2017-present)
• Center for Imaging Science Minor Coordinator (6/2003-present)

I had the pleasure of designing the minor in Imaging Science as well as getting it approved at the Institute level. Annually I handle the administration of this program by enrolling individual students in the minor with a concentration that best meets their interests and goals, tracking each of their progress in meeting these requirements, and finally in the certification of their minor when they have finished with their coursework.

• Center for Imaging Science Immersion Coordinator (1/2014-present)
• Center for Imaging Science Undergraduate Curriculum Committee (9/2002-present)
• College of Science Undergraduate Research Council (9/2014-present)

Past Activities

• Center for Imaging Science Faculty Search Chair (9/2016-5/2017)

Resulted in the successful recruiting of Dr. Guoyu Lu.

• Center for Imaging Science Pre-Tenure Review Chair (6/2016-3/2017)

Facilitated the annual pre-tenure reviews for all non-tenured faculty within the Center for Imaging Science.

• College of Science Science Exploration Program Advisory Board (9/2008-8/2016)
• Center for Imaging Science Mid-Tenure Review Committee (9/2007-8/2009, 9/2013-8/2016)
Dr. Jie Qiao (2016)
Dr. Gabriel Diaz (2014, 2015)
Dr. Jinwei Gu (2013)
Dr. Maria Helguera (2008, 2009)

• College of Science Promotion Committee (9/2011-8/2015)
• College of Science Curriculum Committee (9/2013-8/2015)
• Center for Imaging Science Undergraduate Coordinator (5/2006-5/2014)

As the Undergraduate Program Coordinator for the Chester F. Carlson Center for Imaging Science, I have helped to coordinate and oversee numerous transitions in our curriculum to better align the flow of learning that occurs and to make sure that our students are ready to move on to the next challenges that they face in their coursework. Specific changes made include the evolution to our current third year curriculum that includes both a series of classes aimed and systems analysis/design in the Color Science, Modulation Transfer Function, and Noise and Random Processes classes along with a complementary year-long laboratory sequence entitled Imaging Science Laboratory that concentrates on pixels, spatial, and multidimensional aspects of the imaging chain. Understanding the need for a stronger mathematical preparation of our students for classes such as Physical Optics, Digital Image Processing, Modulation Transfer Function, and Noise and Random Processes, room was made in the schedule to add a follow-on class to our Linear Algebra & Fourier Mathematics for Imaging Science entitled Mathematical Methods for Imaging Science and a department-taught version of Probability and Statistics class with a strong focus on fundamental statistical concepts with relevant applications to imaging-related problems. The Senior Project class is once again a required part of all or our undergraduates' education which is one of the many things that distinguish them from other undergraduate students in related fields, demonstrating their ability to conduct an independent investigation. All of these modifications to the curriculum go back to a fundamental premise of strong mathematical preparation along with capable laboratory skills, including the development of strong written, oral, and technology-based presentation skills. Most recently, the reincorporation of our first year students as active participants in our Center was a primary goal. This has been accomplished by the design of a remarkable new program that is referred to as the First-Year Imaging Project that takes our entering students through a self-discovering experience where they are tasked with building an imaging system. The skills that they need along the way are obtained on their own with the assistance of, potentially, the entire faculty of the Center. This project is open to students across the campus and will hopefully serve as an introduction of what we do to not only our own students but those in other programs and colleges across the Institute.

In this role I have also served to help recruiting for the Center at most of the undergraduate admissions open houses, transfer students open houses, summer orientation programs, individualized tours for prospective students, general (undecided) program presentations for multiple colleges, and numerous high school recruiting events on behalf of the Center. I have also worked with Monroe Community College to expand our articulation agreement from the traditional feeder program in Optics, to include their programs in Engineering Science, Computational Science, as well as Liberal Arts-Science.

In 2006, I had the opportunity to work with the College of Imaging Arts and Science to develop a "co-dependent" program in Digital Cinema that required students to take half of their core coursework in the Center. This formed the groundwork for a potential great collaboration between the two colleges in producing a very capable "hybrid" student that develops both their scientific and artistic persona to create a new type of graduate available to the motion picture industry.

Along the line of the development of "hybrid" students, I made a big push at the Institute level to develop official double majors between Imaging Science and several programs including Computer Science, Physics, Biological Sciences, Applied Mathemeatics, Imaging and Photographic Technology, and Management Information Science. While these are not yet officially listed in the course catalogs due to our current transition to semesters, many of these double majors now have students actively pursuing these challenging combinations.

In 2010, during the Institute's planned transition from the quarter system to the semester system, I was responsible for assembling and putting forward the plan for the Center's undergraduate program. This included working with the administration to understand the design considerations that were being actively developed by the administrative committees charged with the task of deciding what an RIT semester-based education would look like and make sure that we, as the first program in the Institute to come up for approval, would meet these requirements.

Logistically, I have also been responsible for handling all aspects of student processing through the system including degree certifications, handling of senior project delivery requirements, administration of any academic disciplinary actions that have needed to occur, reporting to our administration and advisory board, and even the arrangement of our annual senior celebration prior to graduation.

• College of Science Academic Conduct Committee (9/2009-8/2013)
• Center for Imaging Science Faculty Search Committee (9/2012-4/2013)

Resulted in the successful recruiting of Dr. Jie Qiao.

Resulted in the successful recruiting of Dr. Gabriel Diaz.

• Center for Imaging Science Computer Advisory Committee (6/2003-8/2012) - Chairperson
• Institute Research Computing Advisory Board (9/2006-8/2012) - Vice Chairperson
• College of Science Computer Committee (1/2004-8/2012)
• Center for Imaging Science Faculty Search Committee (6/2009-4/2010)

Resulted in the successful recruiting of Dr. Jinwei Gu.

• College of Science Administrative Council (9/2007-8/2008)
• College of Imaging Arts and Sciences Faculty Search Committee (Digital Cinema) (9/2007-5/2008)

Resulted in the successful recruiting of Ricardo Figueroa.

• Institute Research Computing System Administrator Search Committee (02/2007-6/2007)

Resulted in the successful recruiting of Paul Mezzanini.

• Center for Imaging Science System Administrator Search Committee (9/2006-10/2006) - Chairperson

Resulted in the successful recruiting of Brett Matzke.

• Center for Imaging Science Computer Strategy Task Force (5/2006-12/2006)
• Institute Head of Research Computing Search Committee (11/2004-7/2005)

Resulted in the successful recruiting of Dr. Gurcharan Khanna.

• Center for Imaging Science Web Improvement Team (8/2004-12/2006)
• College of Science Academic Conduct Committee / Alternate (1/2004-9/2007)
• Center for Imaging Science Director Search Committee (8/2003-2/2004)

Resulted in the successful recruiting of Dr. Stefi Baum.

FOR STUDENTS

• Currently serving or have served on 123 research committees for Ph.D. dissertations, M.S. theses/projects and B.S. senior projects within the Chester F. Carlson Center for Imaging Science, the College of Science, the College of Engineerring, the College of Imaging Arts and Sciences, and the Golisano College of Computing and Information Sciences. Have served as the major professor on 11 doctoral-level dissertation, 19 masters-level theses/projects and 24 bacheloriate-level senior projects.
• Serve as faculty advisor for the RIT Cell Processor Programmers Users Group
• Enacted an arrangement with ITT Visual Information Systems to provide 300 network licenses for their IDL and ENVI software for use by all RIT faculty, staff, and student researchers free of charge (a $4.28M donation)
• Enacted an arrangement with Research Systems Incorporated (a Kodak Company) to provide their IDL and ENVI software to all students currently enrolled in Imaging Science courses free of charge (a $1.7M donation)
• Regularly conduct group programming tutoring section for students who feel their skills need to be developed further to succeed in Imaging Science courses
• Serve as the faculty advisor to the RIT student chapter of IS&T
• Have employed 38 undergraduate students to date either as student employees or under the cooperative education program to assist on funded research programs providing the students with marketable experience in the field of imaging science and remote sensing
• Midnight Breakfast server 20032, 20041, 20042, 20051, 20052, 20061, 20062, 20063, 20071, 20072, 20081
• Outstanding Undergraduate Scholar Ceremony 20033, 20043, 20053, 20063, 20073, 20093
• Residence Life Orientation Volunteer - 20041, 20051, 20061
• RIT ROCS (Reaching Out for Community Service) - 20041, 20051

FOR RECRUITING EFFORTS / EVENTS

• Greece Central School Distric Career Exploration Night - April, 8, 2008

FOR PROFESSIONAL SOCIETIES

• Serve as a reviewer for articles to be published in journals of The International Society for Optical Engineering (SPIE)
• Serve as a reviewer for articles to be published in journals of Imaging Science and Technology (IS&T)
• Serve as a reviewer for articles to be published in journals of the American Society of Photogrammetry and Remote Sensing (ASPRS)
• Serve as a reviewer for articles to be published in journals of the Electronics and Telecommunications Research Institute (ETRI)
• Serve as a reviewer for articles to be published in Remote Sensing of Environment
• Serve as an International Program Committee (IPC) member and reviewer for the International Association of Science and Technology for Development (IASTED) - 2006, 2007, 2008

FOR PROFESSIONAL SOCIETIES / SESSIONS CHAIRED

• Mini-Symposium on Remote Sensing, GIS and Digital Image Processing, hosted by the Central New York Region of ASPRS, held at the Rochester Institute of Technology, May 1989.
• Research in Remote Sensing, Photogrammetry and GIS in Central New York, hosted by the Central New York Region of ASPRS, held at the Rochester Institute of Technology, April 1992.
• Information Extraction and Exploitation Algorithms, International Congress on Imaging Science 2006, hosted by the Society for Imaging Science and Technology, held at the Hyatt Regency Hotel, Rochester, NY, May 2006.
• Reference Spectral Signatures Conference, hosted by the ITIC and National Signatures Program, held at the Northrop Grumman Corporation, Vienna, VA, May 2006.

FOR PROFESSIONAL SOCIETIES / PROGRAM COMMITTEES

• Conference on Environmental Modelling and Simulation (EMS 2006), hosted by the International Association of Science and Technology for Development (IASTED), St. Thomas, U.S. Virgin Islands, November 2006.
• Conference on Environmental Modelling and Simulation (EMS 2007), hosted by the International Association of Science and Technology for Development (IASTED), Honolulu, HI, August 2007.
• Conference on Environmental Modelling and Simulation (EMS 2008), hosted by the International Association of Science and Technology for Development (IASTED), Orlando, FL, November 2008.
• Conference on Environmental Modelling and Simulation (EMS 2009), hosted by the International Association of Science and Technology for Development (IASTED), Honolulu, HI, September 2009.

AWARDS

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)

PUBLICATIONS