Remote sensing, digital image processing (with a focus on agricultural land use classification), machine learning, deep learning and Computer Vision.
Her research interest includes Remote Sensing, Artificial Intelligence, Envirnonmental monitoring and in exploring challenges for Hyperspectral Dataset.
She specializes in low-power CMOS circuit design, with a particular focus on optimizing CMOS tapered buffers especially for applications involving large capacitive loads.
His research areas include Remote Sensing, Internet of Things, Machine Learning, Deep Learning, and Computer Vision with Sentinel-2 and Synthetic Aperture Radar.
Her research interests include Remote Sensing, Computer Vision, Machine Learning andfocuses on developing intelligent systems for processing of spatial data.
His research areas include Remote Sensing, the Internet of Things (IoT), Machine Learning, Deep Learning, and Computer Vision.
Her research interest involves Image Processing, Machine Learning, and Remote Sensing, data fusion, satelliet image and intelligent classification.
His research interest involves hyperspectral satellite image analysis for detecting snow cover variations, aiming to enhance remote sensing applications.
Her research interest involves satellite image analysis for detecting snow cover variations, aiming to enhance remote sensing applications.
His research aims to utilize GEE's powerful cloud-based platform to analyze multi-temporal satellite imagery for environmental monitoring
His research aims to the integration of geospatial intelligence with soil diagnostics to large agribusiness operations, and climate-smart agriculture.
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