Bayesian Modelling of Spatiotemporal processes

Advisor: Prof. Katia Sycara, School of Computer Science, Carnegie Mellon University

• Developed a KISS-GP based framework for predicting mean and uncertainty estimates of a spatiotemporal phenomena.
• Designing a Bayesian Recurrent neural network model to enable modelling and prediction for large datasets.