Rama Vasudevan

Optimizing Individualized Treatment Planning for Parkinson’s Disease Using Deep Reinforcement Learning

Jeremy Watts, Anahita Khojandi, Rama Vasudevan, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application

Anahita Khojandi, Rama Vasudevan, Matthew Baucum, 2020, IEEE Journal of Biomedical and Health Informatics.

Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy

Rama Vasudevan, Sergei V. Kalinin, Maxim Ziatdinov, 2020, Advanced Optical Materials.

Machine learning for materials design and discovery

Rama Vasudevan, Prasanna V. Balachandran, Ghanshyam Pilania, 2021 .

Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations.

Rama Vasudevan, Ondrej Dyck, Maxim Ziatdinov, 2017, ACS nano.

Density Functional Theory and Deep-learning to Accelerate Data Analytics in Scanning Tunneling Microscopy

Rama Vasudevan, Maxim Ziatdinov, Sergei V. Kalinin, 2019, 1912.09027.

Surface Chemistry Controls Anomalous Ferroelectric Behavior in Lithium Niobate.

Rama Vasudevan, Stephen Jesse, Sergei V. Kalinin, 2018, ACS applied materials & interfaces.