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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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artificial intelligence and machine learning, will be woven through each of these three areas. Benefits to you as a SMaRT Intern: The interdisciplinary atmosphere provided at UT-ORII will expose you to team
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incorporating artificial intelligence/machine learning functions in any of the previously listed training activities. Training is approved for remote appointments. Mentor(s): The mentor for this opportunity is
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, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same. Project Description: This opportunity offers a mentored learning experience focused on advancing
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, high-efficiency transmitters, low-phase noise RF sources, and other critical radar components. Topics also cover radar signal processing and machine learning, applying advanced techniques to enhance