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Field
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, Mathematics for Computing Data Structures and Algorithms Operating Systems Distributed Systems Object Oriented Programming Robotics Internet of Things Machine Learning Artificial Intelligence Natural
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opportunities to design and implement algorithms and decision-support tools that leverage real-time data, physics-based models, and AI/ML methods to enhance community resilience and situational awareness during
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selection of sensors and their respective lighting to be adopted.; 3. Study and development of algorithms for detecting inconsistencies.; 4. Study and implementation of operator interfaces.; 5. Assembly and
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efficiency through parallelism (time-, frequency-, and mode-multiplexing), with a specific focus on photonic reservoir computing Relate parallelism to applications, e.g., algorithmic parallelism, multi-tasking
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Relate parallelism to applications, e.g., algorithmic parallelism, multi-tasking, etc. Address nonlinear equalization in optical signal transmission and provide a comparison with neuromorphic electronics
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algorithms, and M&S of sonar array performance in complex environments. Responsibilities Implement research grade software and signal processing tools related to SONAR array processing, environmental and SONAR
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funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and distributed quantum computing. The center includes other quantum
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complementary satellite data (e.g. multispectral, multi-frequency SAR sensors) to improve the characterization of forest structure, biomass and deforestation dynamics at various scales. Development
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-based prediction. This includes instrumenting a high-power APS torch with video and acoustic sensors, developing machine learning algorithms for feature extraction, and building predictive models
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to the detection of fall-risk situations during assisted gait with the team’s commercial exoskeleton, including sensor data processing and algorithm parameter tuning. ii) Developing and testing software modules