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function f from the pair of measurements ( x , y ), and Optimization as the problem of finding the value of input x that maximizes the output y given function f . However in many real-world
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function f from the pair of measurements ( x , y ), and Optimization as the problem of finding the value of input x that maximizes the output y given function f . However in many real-world
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shifts while controlling false alarm rates. It explores both traditional and advanced optimization techniques, including analytical models, simulation-based approaches, and data-driven algorithms. The
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shifts while controlling false alarm rates. It explores both traditional and advanced optimization techniques, including analytical models, simulation-based approaches, and data-driven algorithms. The
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understanding, their high computational and memory demands pose significant challenges for real-time, on-device applications. This project focuses on exploring model optimization strategies, including
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understanding, their high computational and memory demands pose significant challenges for real-time, on-device applications. This project focuses on exploring model optimization strategies, including
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. Foundational Understanding of AI and Machine Learning : Knowledge of machine learning algorithms, optimization techniques, and deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with
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Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization : Research Focus : Developing and testing ML algorithms for predicting resource demand and optimizing allocations. Skills