Matthew Hoffman Headshot

Matthew Hoffman

Associate Professor
School of Mathematical Sciences
College of Science
mjhsma@rit.edu
585-420-6288
Office Location
GOS-2302
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.

mjhsma@rit.edu
585-420-6288
Personal Links
Personal Website
Curriculum Vitae
Google Scholar
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

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.
IMGS-699
Imaging Science Graduate Co-op
0 Credits
This course is a cooperative education experience for graduate imaging science students.
MATH-791
Continuation of Thesis
0 Credits
Continuation of Thesis
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.
MATH-602
Numerical Analysis I
3 Credits
This course covers numerical techniques for the solution of nonlinear equations, interpolation, differentiation, integration, and matrix algebra.
MATH-606
Graduate Seminar I
1 Credits
The course prepares students to engage in activities necessary for independent mathematical research and introduces students to a broad range of active interdisciplinary programs related to applied mathematics.

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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.