Advanced Learning, Artificial Intelligence and Control Laboratory.
- Código Oferta:14273
- Proyecto: UNIVERSITY OF HOUSTON / Advanced Learning, Artificial Intelligence and Control Laboratory. / ESTADOS UNIDOS DE AMERICA / HOUSTON
- País: ESTADOS UNIDOS DE AMERICA
- Municipio: HOUSTON
- Entidad: UNIVERSITY OF HOUSTON
- Tipo de contrato: Beca
- Duración: 6 MESES
- Salario mensual: 1635
- Observaciones: The trainee will be working in the Advanced Learning, Artificial Intelligence and Control Laboratory, located in the Mechanical Engineering Department a UH.
At the Advanced Learning, Artificial Intelligence and Control laboratory our objective is to design learning-based control algorithms for safety critical systems, combining tools from machine learning (ML) and optimization theory. This combination harnesses the power of data and has the potential to leverage the trengths of both fields. In particular, we are interested in developing fundamental science for novel data-enabled model predictive control (MPC) approaches. In our research group we propose to introduce Data-Enabled neural Multi-Step Predictive control (DeMuSPc), a new data-enabled framework for the
development and tuning of predictive controllers, with application to blood glucose control in people with Type 1 Diabetes (T1D).
Topics include, but are not limited to:
1. Design deep-learning based multi-step affine blood glucose predictors with certain prescribed behavioral properties.
2. Design data-enabled automatic tuning and adaptation for a predictive controller’s policy parameters using Bayesian Optimization and Reinforcement Learning. Candidates will be responsible for conducting research and writing scientific papers for dissemination of results. Candidates will work under the direct supervision of Dr. Marzia Cescon and will be affiliated with the Advanced Learning, Artificial Intelligence and Control lab. - Nivel Académico: Licenciatura o Grado (C5-8)
- Fecha Alta: 2024-05-24
- Fecha Inicio: 2024-06-17
- Titulación: Informática, ingeniería de Sistemas de Control, Ingeniería Eléctrica e informática
- Observaciones Idioma:
- Informática:
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