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Machine Learning Methods For Nanophotonic Design, Simulation, And Operation, Alec Michael Hammond
Machine Learning Methods For Nanophotonic Design, Simulation, And Operation, Alec Michael Hammond
Theses and Dissertations
Interest in nanophotonics continues to grow as integrated optics provides an affordable platform for areas like telecommunications, quantum information processing, and biosensing. Designing and characterizing integrated photonics components and circuits, however, remains a major bottleneck. This is especially true when complex circuits or devices are required to study a particular phenomenon.To address this challenge, this work develops and experimentally validates a novel machine learning design framework for nanophotonic devices that is both practical and intuitive. As case studies, artificial neural networks are trained to model strip waveguides, integrated chirped Bragg gratings, and microring resonators using a small number of simple …
Cooperative Target Tracking Enhanced With The Sequence Memoizer, Everett A. Bryan
Cooperative Target Tracking Enhanced With The Sequence Memoizer, Everett A. Bryan
Theses and Dissertations
Target tracking is an important part of video surveillance from a UAV. Tracking a target in an urban environment can be difficult because of the number of occlusions present in the environment. If multiple UAVs are used to track a target and the target behavior is learned autonomously by the UAV then the task may become easier. This thesis explores the hypothesis that an existing cooperative control algorithm can be enhanced by a language modeling algorithm to improve over time the target tracking performance of one or more ground targets in a dense urban environment. Observations of target behavior are …