Director (ACD) & Professor, School of Arts Media and Engineering
Pavan Turaga's work spans computational and geometric methods, with an applied interest in machine-learning and its wide interdisciplinary applications. Turaga joined ASU in 2011, as Assistant Professor, receiving promotion and tenure in 2017 to the rank of Associate Professor. Turaga's work continues to expand in two directions -- foundational methods for machine learning, and its use-inspired applications. Their contributions to machine learning are in the areas of geometric and topological methods, which have been considered as a new frontier in non-linear methods for data science. They have transitioned their research to applied areas as diverse as health and wellness, interactive media, content creation, and machine learning driven science workflows.
They received the National Science Foundation's CAREER award in 2015, a Best Paper award from the Deep Learning meets Geometric Computing (DLGC) workshop in 2023, a Best Paper Honorable Mention from IEEE Winter Conference on Applications of Computer Vision (WACV) in 2021, and a Best Paper Award in 2015 from the Computational Cameras and Displays (CCD) Workshop.