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Field
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, robustness under varying turbulence, and autonomy for distributed systems. To address this, the group integrates Artificial Intelligence into AO control loops, using deep learning to handle sensor
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, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements. -The candidate will work on Texas Climate Smart
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engineering, materials science, spectroscopy or fluorescent systems. Candidates with prior experience in the design, development and engineering of luminescent sensors and pressure sensitive paints are strongly
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Responsibilities Design and implement digital twins to monitor and optimize urban systems, including infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop
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electronic sensors, fitting it to physiochemical models to understand NP and surface interactions, and perform optimisations for sensing purposes; Perform sample preparation and isolation of NPs; Design and
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candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on memory consolidation, spatial navigation, and neural
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system automation. Investigate and improve human-machine interaction frameworks for construction operations, including robotics, sensor-based communication, and real-time monitoring. Publish research
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have profound applications and potential in protection of environment and high health standards. Our group is engaged in development of various sensors targeting biological pollutants, measurement
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structures in collaboration with local partners; · Leading baseline (Before) and follow-up (After) monitoring campaigns using: o Wave and sediment sensors, o LIDAR and acoustic mapping, o
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces