First-Year Computer Vision Ph.D. student supervised by Prof. Margrit Betke, Prof. Bryan Plummer, and Prof. Michael Hasselmo. I am interested in interpreting the environment from different visual modalities, especially for applications in bioengineering and robotics.
A deep-learned pose optimizer framework that uses spatio-temporal architecture to learn postural information.
A multi-view multi-modal Rodent dataset
Created communication protocol, Server and APIs for collecting data from different GPS tracking devices. Which were then used to analyze patterns of the path of the school vehicles and detect deviations from the path.