Virginia Polytechnic Institute & State University (Virginia Tech) was awarded a $342,512 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049).
The grant will support research from August 2021 through July 2024 titled "ATD: Inductive Spatiotemporal Graph Encoding for Interpretable and Transferable Deep Learning with Application in Human Dynamics." The research aims to develop new deep learning techniques using graph encoding to analyze and model human dynamics data in an interpretable and transferable manner. The funding will allow Virginia Tech researchers to advance the scientific understanding of human movement patterns and interactions through innovative applications of deep learning and graph-based modeling approaches.
Generated 1/7/24, 12:16 AM