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gain learning experience in developing optical fiber gas sensors, synthesizing and testing various gas sensing materials, testing and optimizing sensor performance for applications in gas sensing
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utilizing existing and upcoming sensor deployments. The opportunity will include a range of activities and experiences including data collection, image analysis, workflow/algorithm development, sensor testing
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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using sensors, data loggers, and thermal images Lab experiments examining how nutrition affects performance and physiological traits Field experiments quantifying behavior of insects Mentor(s): The mentor
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the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
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advanced actuators, smart materials, sensor systems, and new adaptive control methods to manage the open-ended degrees of freedom of morphing systems. Methods will span both active smart-material based
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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technologies such as UAVs, drones, spectroradiometers with multispectral and hyperspectral sensors for detecting and mapping herbicide resistant weeds in crop production systems. Learn integrated weed management
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. Development and maturation of control algorithms is critical to achieving the potential benefits of these systems. NASA requires modeling and test capabilities to support this maturation, from control algorithm
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The objectives of this research are to develop advanced ocean color algorithms that take advantage