Professor Kristin Dana has won a new grant from Lockheed Martin for the project "Multiscale Deep Learning For Temporal Patterns." This is a one year award for $120,183.
The objective of this project is to conduct graduate level research for modeling time-varying patterns using deep learning in the context of temporally varying signals. The goal of the current project is to explore state of the art machine learning methods of GANs (generative adversarial networks) and RL (reinforcement learning) in the specific context of multiscale implementations.
Congratulations Kristin!