Pavan Turaga

Assistant Professor
ASU Directory Profile

Personal Webpage

MCENT 204B
480-965-3704
pturaga@asu.edu

Research expertise: Computer vision, human activity analysis, machine learning, rehabilitation and preventive interventions

Pavan Turaga joined ASU in fall 2011 as an assistant professor jointly between the departments of Arts, Media and Engineering and Electrical Engineering (ECEE). He obtained his Ph.D. in 2009 from the ECE Department at the University of Maryland, College Park under the guidance of professor Rama Chellappa. He then spent two years as a research associate at the Center for Automation Research, University of Maryland. His research interests are in computer vision, machine learning, Riemannian geometry with applications to human activity analysis, human health, interactive systems etc.

Professional preparation
Ph.D., electrical engineering, University of Maryland, College Park, 2009
M.S., electrical engineering, University of Maryland, College Park, 2007
B.Tech., electronics and communication engineering, India Institute of Technology, Guwahati, India, 2004

Recognition and awards
NSF CAREER Award (2015), IEEE Senior Member (2014), University of Maryland Distinguished Dissertation award (2009), IBM Emerging Leader in Multimedia (2008)

Selected publications

Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga, Ronan Kerviche, Amit Ashok, “ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements”, in Computer Vision and Pattern Recognition (CVPR), June 2016.

Kuldeep Kulkarni, Pavan Turaga, “Reconstruction-free action inference from compressive imagers”, at the IEEE Transactions on Pattern Analysis and Machine Intelligence, Jan 2016.

Vinay Venkataraman, Pavan Turaga, Michael Baran, Nicole Lehrer, Tingfang Du, Long Cheng, Thanassis Rikakis, and Steven L. Wolf, “Component-Level Tuning of Kinematic Features from Composite Therapist Impressions of Movement Quality”, at IEEE Journal on Biomedical and Health Informatics (J-BHI) Jan 2016.

R. Anirudh, P. Turaga “Geometry-based Symbolic Approximation for Fast Sequence Matching on Manifolds”, at the International Journal of Computer Vision, Jan 2016.

R. Anirudh, P. Turaga, J. Su, A. Srivastava, “Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.