Jaya Sreevalsan Nair

Associate Professor

Email: jnair@iiitb.ac.in

Education

  • Ph.D. (University of California, Davis)

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.

She leads the  Graphics-Visualization-Computing Lab at IIIT-B. She is also the core team member of the E-Health Research Center at IIIT-B.

Research Interests

  • 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

Honors and Awards

  • Early Career Research Award, SERB (2017-20)

Selected Publications

[Recent publications; the exhaustive list is published on the lab website.]

  • 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. 

  • 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

  • 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)

  • J. Sreevalsan-Nair, and S. Agarwal, "NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks," in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), vol 3: IVAPP, pp 140-151, SCITEPRESS, 2017. (preprint)

  • S. Agarwal, A. Tomar, and J. Sreevalsan-Nair, "NodeTrix-Multiplex: Visual Analytics of Multiplex Small-world Networks," in Complex Networks & Their Applications V, Studies in Computational Intelligence, vol. 693, pp 579-591, Springer International Publishing, 2017. (preprint)

  • J. Sreevalsan-Nair, "A Survey of Requirements of Multivariate Data and its Visualizations for Analysis of Child Malnutrition in India," in Data Sciences Communications, vol. 1, IIITB Press, October 2016. (preprint)

  • B. Kumari, and J. Sreevalsan-Nair, "An Interactive Visual Analytic Tool for Semantic Classification of 3D Urban LiDAR Point Cloud," in Proceedings of ACM SIGSPATIAL 2015, p 73:1-73:4. (preprint)

  • B. Kumari, A. Ashe, and J. Sreevalsan-Nair, Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud, Big Data Analytics, Lecture Notes in Computer Science, Vol. 8883, 2014, pp 129-132, Springer. (preprint)

  • S. Parveen, and J. Sreevalsan-Nair, Visualization of Small World Networks Using Similarity Matrices, Big Data Analytics, Lecture Notes in Computer Science, Vol.8302, 2013, pp 151-170, Springer. (preprint)

Teaching

[In Term I 2017-18 (Fall 2017)]

  • CS304: Foundations of Computer Graphics
  • ESS201: Programming II (C++ module)
  • CS732/DS732: Data Visualization

[The exhaustive list of courses taught is published on the lab website]


Research & Consulting

Current R&D projects:

  • PI for sponsored project with FRHS Bangalore
  • Collaborator on projects with NIMHANS
  • Collaborator on project with IBAB
  • PI for sponsored project with INCOIS


other Information

  • ACM Member, IEEE Senior Member