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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
structure and function. Airborne remote sensing offers unique flexibility, including the potential to combine different sensors on a single platform and to acquire data at the scale of individual trees
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modeling and spatial analysis of image data of synthetic aperture radar (SAR) and electro-optical (EO) sensors and producing standard and customized products and maps using Geographic Information System (GIS
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of sensor data including the development of algorithms to create, filter and extract performance metrics from dynamic signals. Development of fully functional, innovative prototypes of sensing, automation
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Lab to assist with building solutions and methods for data reduction, aggregation, and analysis and A.I. and machine learning/deep learning algorithms for building programs and automated solutions
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, including autonomous robotic systems for In-space and On-orbit Servicing, Assembly, and Manufacturing (ISAM and OSAM) and space logistics. Develop and implement control algorithms for distributed multi-agent
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not limited to using UAV platforms to characterize active fire thermal and gas emissions, improve spreading models and detection algorithms, and assessing post-fire effects. The aim of the project is to
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program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge and
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technology with robotic platforms to meet project-specific requirements. • Design and implement advanced control algorithms for autonomous operation. • Collaborate on robot simulation and hardware-in-the-loop
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the readout manufacturer to adapt and refine the high-speed readout electronics and synchronization system for efficient electron detection. Implement and test real-time processing algorithms for high
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sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and