Jaya Sreevalsan Nair
Associate Professor
Computer Science
International Institute of Information Technology Bangalore
India
Biography
Professor Nair obtained her Ph.D. in Computer Science from University of California, Davis; after a B.Tech in Aerospace Engineering from IIT-Madras and an M.S. in Computational Engineering from Mississippi State University. Prior to joining IIITB, she worked as a scientific programmer at Enthought Inc. Austin and as a research associate at Texas Advanced Computing Center, the University of Texas at Austin. Her areas of interest are visualization, scientific computing, computer graphics, and computational geometry.
Research Interest
Spatial big data analytics (multivariate/tensor/network data modeling and visual analytics) with a focus on applications in earth observations (LiDAR point clouds, ocean data), geographical networks (e.g. transport), and public health care
Publications
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J. Sreevalsan-Nair, and B. Kumari, "Local Geometric Descriptors for Multi-Scale Probabilistic Point Classification of Airborne LiDAR Point Clouds," (to appear) as a book chapter in “Modeling, Analysis, and Visualization of Anisotropy,†Mathematics and Visualization Series, Springer Verlag, 2017. (preprint)
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J.Sreevalsan-Nair, and A. Jindal, "Using Gradients and Tensor Voting in 3D Local Geometric Descriptors for Feature Detection in Airborne LiDAR Point Clouds in Urban Regions," (accepted) in the 2017 IEEE International Geoscience and Remote Sensing Symposium, July 2017. (preprint)
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J.Sreevalsan-Nair, N. Murthy, S. Agarwal, R. R. Vangimalla, and S. Ramesh, "Collaborative Design of Visual Analytics Techniques for Survey Data for Community-based Research in Public Health," (accepted as a poster) in the 8th Workshop on Visual Analytics in Healthcare, affiliated with IEEE VIS 2017, October 2017.
