Hi, I am Pavan Turaga. I am an Associate Professor jointly between the departments of Arts, Media, and Engineering and Electrical Engineering (ECEE).
I direct the Geometric Media Lab (GML) at ASU. We are proud to have Max Bernstein as Associate Director of the GML. Our work spans tools for representation drawn from statistics, optimization, geometry, and topology, and applied to the areas of computer vision, machine learning, immersive technologies, health-analytics, public understanding of science, arts and performance, and more. Please browse the above tabs for a sampling of our research themes, and publications.
Associate Professor, Arizona State University, 2017 – present
Assistant Professor, Arizona State University, 2011-2017
Research Associate, Center for Automation Research, 2009-2011
Ph.D. University of Maryland, College Park 2004-2009
B.Tech Indian Institute of Technology, Guwahati, 2000-2004
ASU Center for Sensor, Signal, Information Processing (SenSIP)
Center for Human, Artificial Intelligence, and Robot Teaming (CHART)
Center for Innovation in Healthy and Resilient Aging (CIHRA)
ASU Cognitive Science Program ASU Synthesis Center
ASU Graduate faculty privileges
Computer Engineering (Computer Systems) PhD (Endorsed to Chair)
Computer Engineering (Electrical Engineering) PhD (Endorsed to Chair)
Electrical Engineering PhD (Endorsed to Chair)
Systems Engineering PhD (Endorsed to Chair)
Media Arts and Sciences PhD (Endorsed to Chair)
Exploration Systems Design PhD (Endorsed as Member)
We gratefully acknowledge the support received by several federal and industry grants over the years in support of our research.
Our current sources of support include NSF, ARO, NIH, Intel, Adobe.
Past support has included NSF, ONR, Google ATAP, Raytheon, NVIDIA.
NSF Future of Work grant, “ASU researchers awarded grant for advancing workplace wellness“, Sep 9th 2020.
TWIML AI Podcast, “Invariance, Geometry and Deep Neural Networks with Pavan Turaga” June 25th 2020.
NSF RAPID grant on COVID modeling, “NSF grant to help ASU researchers design a new way to model the spread of COVID-19“
ASU Now and FullCircle, “Data, data everywhere, but not enough to think“