Vineeth N Balasubramanian

picture of CUbiC member

Vineeth N Balasubramanian

Position

Assistant Research Professor

Department

Computer Science Engineering

Joined CUbiC

-

Contact

vineeth.nb@asu.edu

History

Former ASU student.

Research Profile

Vineeth joined CUbiC in August 2005 as a PhD student in the Department of Computer Science and Engineering (now, the School of Computing and Informatics). Before coming to CUbiC, he had worked on video segmentation and mosaicing in the MPEG domain as part of his Masters thesis in India. At CUbiC, his initial work included projects on surgical skill analysis with the Banner Good Samaritan hospital, and on scientific visualization of medical imaging data. Currently, he works on pattern recognition problems related to face analysis, with a focus on head pose estimation. His research work is centered on coming up with confidence measures associated with pattern recognition algorithms. His broad research interests include computer vision, pattern recognition, machine learning, human computer interaction with an emphasis towards high-dimensional data analysis, learning theory, and statistical approaches in pattern recognition.

Publications

Person-Independent Head Pose Estimation using Biased Manifold Embedding
V.N. Balasubramanian, Krishna S, S. Panchanathan,
2007
A Systematic Requirements Analysis and Development of an Assistive Device to Enhance the Social Interaction of People Who are Blind or Visually Impaired
S. Krishna, D. Colbry, J. Black, V. Balasubramanian, S. Panchanathan,
2008
Using a Haptic Belt to convey Non-Verbal communication cues during Social Interactions to Individuals who are Blind.
T. McDaniel, Krishna S, V. Balasubramanian, D. Colbry, S. Panchanathan,
2008
Generalized Query by Transduction for Online Active Learning
V.N. Balasubramanian, S. Chakraborty, S. Panchanathan,
2009
Enriched human-centered multimedia computing through inspirations from disabilities and deficit centered computing solutions
S. Panchanathan, N.C. Krishnan, Krishna S, T. McDaniel, V. Balasubramanian,
2008

Projects

CUbiC@ASU is engaged in an active collaboration with a high-volume cardiology practice catering to patients across Arizona - Advanced Cardiac Specialists - to design and develop computational tools and frameworks for cardiac decision support. While there are publicly…