Matthew Hoffman
Associate Professor
School of Mathematical Sciences
College of Science
585-420-6288
Office Location
Office Mailing Address
2302 Gosnell Hall
Matthew Hoffman
Associate Professor
School of Mathematical Sciences
College of Science
Education
BA, Williams College; MS, Ph.D., University of Maryland
Bio
My research interests include oceanic and atmospheric dynamics; understanding the fate, transport, and impact of plastic pollution on freshwater systems; data assimilation; remote sensing; hyperspectral vehicle tracking; and cardiac electrical dynamics.
585-420-6288
Areas of Expertise
Data Assimilation
Microplastic
Plastic Pollution
Freshwater Plastic
Great Lakes
Dynamical Systems
Mathematical Modeling
DDDAS
Vehicle Tracking
Hyperspectral Video
Cardiac Electrical Dynamics
Sports Analytics
Currently Teaching
IMGS-699
Imaging Science Graduate Co-op
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-890
Research & Thesis
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
CHEM-531
Climate Change: Science Technology & Policy
3 Credits
This multidisciplinary course will provide students with diverse perspectives on global climate change issues, providing a survey of important aspects of the problem. Topics include atmospheric chemistry, climate modeling, ecological impacts and feedbacks, economics of climate change, international climate policies, and social and environmental justice. The course will include a variety of instructors and guest lecturers, providing an overview of the complex and inter-related nature of global climate change.
ENVS-631
Climate Change: Science Technology & Policy
3 Credits
This multidisciplinary course will provide students with diverse perspectives on global climate change issues, providing a survey of important aspects of the problem augmented by readings in the primary literature. Topics include atmospheric chemistry, climate modeling, ecological impacts and feedbacks, economics of climate change, international climate policies, and social and environmental justice. The course will include a variety of instructors and guest lecturers, providing an overview of the complex and inter-related nature of global climate change. The course will culminate in a project based on finding solutions to the real-world problem of climate change. Students will be required to take a leadership role in bridging the multiple disciplines presented
IMGS-891
Continuation of Thesis
0 Credits
Continuation of Thesis
MATH-326
Boundary Value Problems
3 Credits
This course provides an introduction to boundary value problems. Topics include Fourier series, separation of variables, Laplace's equation, the heat equation, and the wave equation in Cartesian and polar coordinate systems.
PUBL-531
Climate Change: Science, Technology and Policy
3 Credits
This multidisciplinary course will provide students with diverse perspectives on global climate change issues, providing a survey of important aspects of the problem. Topics include atmospheric chemistry, climate modeling, ecological impacts and feedbacks, economics of climate change, international climate policies, and social and environmental justice. The course will include a variety of instructors and guest lecturers, providing an overview of the complex and inter-related nature of global climate change.
MATH-790
Research & Thesis
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
PUBL-631
Climate Change: Science, Technology and Policy
3 Credits
This multidisciplinary course will provide students with diverse perspectives on global climate change issues, providing a survey of important aspects of the problem augmented by readings in the primary literature. Topics include atmospheric chemistry, climate modeling, ecological impacts and feedbacks, economics of climate change, international climate policies, and social and environmental justice. The course will include a variety of instructors and guest lecturers, providing an overview of the complex and interrelated nature of global climate change. The course will culminate in a project based on finding solutions to the real-world problem of climate change. Students will be required to take a leadership role in bridging the multiple disciplines presented.
ENVS-531
Climate Change: Science Technology & Policy
3 Credits
This multidisciplinary course will provide students with diverse perspectives on global climate change issues, providing a survey of important aspects of the problem. Topics include atmospheric chemistry, climate modeling, ecological impacts and feedbacks, economics of climate change, international climate policies, and social and environmental justice. The course will include a variety of instructors and guest lecturers, providing an overview of the complex and inter-related nature of global climate change.
In the News
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May 26, 2020
![four researchers collecting sediment samples from a lake.]()
RIT researchers receive grant to study microplastic pollution in Lake Ontario
A team of RIT researchers will explore how tiny particles of plastic pollution are impacting Lake Ontario thanks to new funding from the National Oceanic and Atmospheric Administration. The multidisciplinary group will examine how microplastics are transported and transformed in the lake, where they ultimately end up and what effects they have on the ecosystem.
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May 21, 2020
![hands holding garbage bag full of debris.]()
How much plastic is in the Great Lakes? Tons and tons.
City Newspaper talks to Juliette Daily, mathematical modeling Ph.D. student, and Matthew Hoffman, assistant professor in the School of Mathematical Sciences, about their research on plastic pollution in Lake Erie.
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May 9, 2020
![debris mixed with seaweed in a lake.]()
Rochester Institute of Technology estimates 381 tons of plastic in Lake Erie -- most of it on the bottom
Cleveland.com talks to mathematical modeling doctoral student Juliette Daily and Professor Matthew Hoffman about their research on plastic pollution in Lake Erie.
Select Scholarship
Journal Paper
Uzkent, Burak, Matthew J. Hoffman, and Anthony Vodacek. "Spectral Validation of Measurements in a Vehicle Tracking DDDAS." Procedia Computer Science 51. (2015): 2493—2502. Web.
Hoffman, Matthew J., et al. "Feature Matching with an Adaptive Optical Sensor in a Ground Target Tracking System." IEEE Sensors Journal 15. 1 (2015): 510--519. Print.
Hoffman, Matthew J., et al. "Integrating Hyperspectral Likelihoods in a Multi-dimensional Assignment Algorithm for Aerial Vehicle Tracking." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (2015): --. Print.
Greybush, S. J., et al. "Ensemble Kalman Filter Data Assimilation of Thermal Emission Spectrometer Temperature Retrievals into a Mars GCM." Journal of Geophysical Research: Planets 117. E11 (2012) Web.
Hoffman, M. J., et al. "An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation." J. Atmos. Oceanic Technol. 29. (2012): 1542-1557. Print.
Greybush, Steven J., et al. "Identifying Martian atmospheric instabilitiesand their physical origins using bred vectors." Quarterly Journal of the Royal Meteorological Society. (2012) Print.
Urquhart, E., et al. "Remotely Sensed Estimates of Surface Salinity in the Chesapeake Bay." Remote Sensing of the Environment 23. (2012): 522-531. Print.
Hoffman, M. J., et al. "Assessment of Mars Atmospheric Temperature Retrievals from the Thermal Emission Spectrometer Radiances." Icarus 220. 2 (2012): 1031-1039. Print.
Published Conference Proceedings
Uzkent, Burak, Matthew J. Hoffman, and Anthony Vodacek. "Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor." Proceedings of the SPIE Conference on Video Surveillance and Transportation Imaging Applications. Ed. Robert Loce and Eli Saber. San Francisco, CA: n.p., 2015. Web.
Uzkent, Burak, et al. "Background image understanding and adaptive imaging for vehicle tracking." Proceedings of the SPIE Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII. Ed. Daniel J. Henry, et al. Baltimore, MD: n.p., 2015. Web.
Hoffman, Matthew J. "Spectral Validation of Measurements in a Vehicle Tracking DDDAS." Proceedings of the Procedia Computer Science. , Reykjavik: , 2015. Print.
Hoffman, Matthew J. "Background Image Understanding and Adaptive Imaging for Vehicle Tracking." Proceedings of the SPIE Defense + Security. Baltimore, Maryland: SPIE, 2015. Print.
Hoffman, Matthew J. "Efficient Integration of Spectral Features for Vehicle Tracking Utilizing an Adaptive Sensor." Proceedings of the IS&T/SPIE Electronic Imaging 2015. San Francisco, California: SPIE, 2015. Print.
Uzkent, Burak, et al. "Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS." Proceedings of the Procedia Computer Science. n.p., 2013. Print.
Invited Keynote/Presentation
Hoffman, Matthew J. "Ground Target Tracking Utilizing DDDAS Based Control of an Adaptive Optical Sensor." IEEE Geoscience and Remote Sensing Joint Chapter Meeting. IEEE Geoscience and Remote Sensing Joint Chapter. Rochester, NY. 31 Mar. 2015. Lecture.