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Md Mehedi Farhad
Affiliation
University of Georgia, Athens, GA, USA
Topic
Soil Moisture Active Passive,Soil Moisture,Global Navigation Satellite System,Brightness Temperature,Electromagnetic Interference,Elevation Angle,Unmanned Aerial Systems,Anechoic Chamber,Direct Signal,Forest Canopy,Incident Angle,Low-noise Amplifier,Microwave Radiometer,Radiometric Measurements,Short-time Fourier Transform,Vegetation Optical Depth,Forest Area,Light Detection And Ranging,Precision Agriculture,RF Front-end,Soil Moisture Retrieval,Vegetation Water Content,5G New Radio,Aboveground Biomass,Airborne Lidar,Azimuth Angle,Diameter At Breast Height,Earth Observation,Earth Surface,External Calibration,Forest Region,Forest Structure,Frequency Band,Fresnel Zone,GPS Satellites,Global Positioning System,Global Positioning System Satellite,Internal Temperature,Mobile Unit,Normalized Difference Vegetation Index,Open Areas,Passive Microwave,Quadrature Phase Shift Keying,Receiver Antenna,Reflectometry,Resource Block,Return Loss,Signal Strength,Small Unmanned Aircraft Systems,Soil Moisture Measurements,
Biography
Md Mehedi Farhad (Graduate Student Member, IEEE) received the B.Sc. degree in electrical and electronic engineering from the Ahsanullah University of Science and Technology, Dhaka, Bangladesh, in 2012, and the Ph.D. degree in electrical and computer engineering from Mississippi State University, Mississippi State, MS, USA, in May 2024. He is currently a Postdoctoral Research Associate with the University of Georgia. He was a Research Assistant with the Information Processing and Sensing (IMPRESS) Laboratory. His research interests include investigating unmanned aircraft systems (UAS)-based microwave radiometer, GNSS-R techniques, and unmanned ground vehicle (UGV)-based GNSS-T techniques for the remote sensing of Earth surface parameters using low-cost and smart devices. He is a Student Member of the IEEE Geoscience and Remote Sensing Society (IGRSS). He was a recipient of Future Investigators in NASA Earth and Space Science and Technology (FINESST), in 2023.