ASU Directory Profile
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 and machine learning with applications to human activity analysis and its applications in areas such as security and human health.
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)
Kuldeep Kulkarni, Pavan Turaga, “Reconstruction-free action inference from compressive imagers”, accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2015.
Anirudh, P. Turaga “Geometry-based Symbolic Approximation for Fast Sequence Matching on Manifolds”, accepted at the International Journal of Computer Vision, June 2015.
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.
Sivakumar, R. Anirudh, P. Turaga, “Geometric Compression of Orientation Signals for Fast Gesture Analysis”, in IEEE Data Compression Conference (DCC), April 2015
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) Nov 2014.