Deep learning group: Platform for exciting discussions on critical opportunities as well as challenges posed in advancing DL architectures to learn powerful brain representations, their methodological interpretability and extension to multimodal data fusion.
List of Resources
Anees Abrol Research Scientist, TReNDS Center & Georgia State University
Dr. Abrol investigates the development of advanced machine learning and signal processing based deep data fusion frameworks to understand complex interactions in multimodal brain imaging data. Development of such end-to-end trained deep learning models is targeted to facilitate the discovery of crucial non-linear interrelationships between the d... more
Sergey Plis Associate Professor of Computer Science, TReNDS Center & Georgia State University
Dr. Plis’s educational background is in engineering (MS), artificial intelligence (MS) and computer science (PhD). His research goals lie in developing computational instruments that enable knowledge extraction from observational multimodal data collected at different temporal and spatial scales. His focus is on understanding systems and process... more