|
| home | people | research | publications | calendar | photos | downloads | weblinks |
Last Update: 2005.07.12 |
Michael Grant
VIVA AffiliationResearch Assistant Degrees
Ph.D. Electrical Engineering, University of Virginia Biographical SketchMichael Grant served as co-investigator for NASA-Langley’s Global Positioning System (GPS) remote sensor activities in the inter-Agency Soil Moisture Experiments 2003 (SMEX-03) Program. Mr. Grant's prior NASA-Langley Project Positions and Experience include: (1) Gas and Aerosol Monitoring Sensorcraft (GAMS) Project Systems Engineer for aircraft experiment design and development (1999-2000). He also worked as the Electrical and Software Engineer for on-board science data processing (1996-2000). (2) Clouds and Earth's Radiant Energy System (CERES) Project, Electrical Engineer for electrical subsystem design and testing oversight (1992-1997). (3) Measurement of Air Pollution from Space (MAPS) Experiment, Electrical and Software Engineer for Shuttle experiment data downlink design and hardware modification (1990-1993). (4) Shuttle Infrared Leeside Temperature Sensing (SILTS) Experiment on the Columbia Orbiter. Michael was the Electrical Engineer for hardware modification, pre-flight testing, and post-flight data retrieval (1987-1992). Research InterestsGrant's areas of research included image feature extraction and classification in medical, airborne, and satellite imagery, with feature classification accomplished using supervised (e.g. Bayesian) and unsupervised (e.g. fuzzy c-means) methods. Michael recently explored a quantitative method for determining lung functionality using a combination of standard proton (H-1) and hyperpolarized Helium-3 magnetic resonance image sets, with the goal of developing an innovative and efficient medical image processing method to assist medical personnel in patient diagnosis. His Ph.D. work focused on the use of Global Positioning System (GPS) satellite signals to augment visual imagery for identifying vegetation types and soil moisture levels in land-use and agricultural applications. Selected Publications
|
| ©2008 University of Virginia. Privacy Statement |
|
Virginia Image and Video Analysis • School of Engineering and Applied Science • University of Virginia P.O. Box 400743 • Charlottesville, VA • 22904 • E-mail viva.uva@gmail.com |