Gallery

Wall of Fame:
Image gallery ; Video gallery


Our Web Browser Apps:
NodeTrix-Multiplex ; NodeTrix-CommunityHierarchy ;
SurveyVis - for public health programme assessment

Publications

Peer-reviewed Conferences/Journals/Book Chapters:


2018:

J. Sreevalsan-Nair, A. Jindal, and B. Kumari, ``Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multi-scale Local Geometric Descriptors and Visual Analytics,'' IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Early Access, June 2018. (doi)(pdf)

K. Lukose, S. Agarwal, V. N. Rao, and J. Sreevalsan-Nair, ``Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans Using Model Based Testing,'' in the Proceedings of the 13th International Joint Conference on Computer Vision, Imaging, and Computer Graphics Theory and Applications (VISIGRAPP 2018), vol 3: IVAPP, SCITEPRESS, 2018. (doi)(pdf)



2017:
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 poster) in the 8th Workshop on Visual Analytics in Healthcare, affiliated with IEEE VIS 2017. (pdf)

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,'' in the Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), July 2017. (doi)(pdf)

 J. Sreevalsan-Nair, and B. Kumari, ``Local Geometric Descriptors for Multi-Scale Probabilistic Point Classification of Airborne LiDAR Point Clouds,'' in ``Modeling, Analysis and Visualization of Anisotropy,'' Mathematics and Visualization Series, Springer, Cham, pp 175-200, October 2017. (from Proceedings of Dagstuhl Seminar 16142) (doi)(pdf)

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

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. (doi)(pdf)


2016:
J. Sreevalsan-Nair, ``A Survey of Requirements of Multivariate Data and its Visualizations for Analysis of Child Malnutrition in India,'' Data Science Communications, vol. 1, IIITB Press, 1--26, October 2016.
(pdf)


2015:
B. Kumari, and J. Sreevalsan-Nair, ``An interactive visual analytic tool for semantic classification of 3D urban LiDAR point cloud,'' In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems 2015 (p. 73:1--73:4), ACM. (doi)(pdf)


2014:
 B. Kumari, A.Ashe, and J. Sreevalsan-Nair, ``Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud,'' in the Proceedings of the Third International Conference on Big Data Analytics, Lecture Notes in Computer Science (LNCS) Series, Vol. 8883, 2014, pp 129-132, Springer. (doi)(pdf)


2013:
S. Parveen, and J. Sreevalsan-Nair, ``Visualization of Small World Networks Using Similarity Matrices,'' in the Proceedings of the Second International Conference on Big Data Analytics, Lecture Notes in Computer Science, Volume 8302, 2013, pp 151-170, Springer. (doi)(pdf)


2012:
A. Narayan, J. Sreevalsan-Nair, K. Gaither, and B. Hamann,``Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements,'' Kraus, M., Laramee, R.S., Battiato, S., de Campos, T., Jurie, F., Kato, Z. and Raducanu, B., eds., Proceedings of International Conference on Information Visualization Theory and Applications 2012 (GRAPP/IVAPP 2012), 660-669. (doi)(pdf)


2011:
C. Auer, J. Sreevalsan-Nair, V. Zobel, and I. Hotz, ``2D Tensor Field Segmentation,'' Proceedings of Dagstuhl Conference 2009 on Scientific Visualization: Interactions, Features, Metaphors, Dagstuhl Follow-Ups, Hagen, Hans (Ed.), Vol. 2, Schloss Dagstuhl--Leibniz-Zentrum fur Informatik 2011, 17-35. (doi)(pdf)

J. Sreevalsan-Nair, C. Auer, B. Hamann, and I. Hotz, ``Eigenvector-based Interpolation and Segmentation of 2D Tensor Fields,'' Topological Data Analysis and Visualization: Theory, Algorithms, and Applications, Springer-Verlag Mathematics and Visualization Series, 2011, 139-150, Springer-Verlag. (doi)(pdf)
(talk given by C. Auer)

2010:
I. Hotz, J. Sreevalsan-Nair, H. Hagen, and B. Hamann, ``Tensor Field Reconstruction based on Eigenvector and Eigenvalue Interpolation,'' Scientific Visualization: Advanced Concepts, Schloss Dagstuhl-Leibniz-Zentrum fur Informatik 2010, 110-123. (doi)(pdf)


Invited articles
J. Sreevalsan Nair, "Paving the Way for Geovisual Analytics," Advanced Computing & Communications, issue 3, December 2017, ACCS. (pdf) (www)


Theses:

[2016] Beena Kumari, Master of Science by Research Thesis on "Visualization Techniques in Classification of 3D Urban LiDAR Point Cloud" (pdf)

[2013] Saima Parveen, Master of Science by Research Thesis on "Visualization of Transformation of Graphs Based on Similarity Functions" (pdf)



Miscellaneous

B. Kumari, and J. Sreevalsan-Nair, “Three-dimensional Visualization of LiDAR Point Cloud Using Structural Feature Extraction,” in Proceedings of NSDI (National Spatial Data Infrastructure) 2013 and Poster presentation.

K. Prasad B. V., N. Kumar, S. Agrawal, H. Gangakhedkar, and J. Sreevalsan- Nair, Partial Implementation of Hybrid MD5-Blowfish Algorithm in Kernel Space on the GPU Using CUDA, Poster presentation at the 19th Annual International Conference on High Performance Computing 2012 - Student Research Symposium (HiPC2012-SRS), Dec. 2012.

K. Patel, J. Savalia, and J. Sreevalsan-Nair, Parallelization of Complex Event Processing, Proceedings of the 18th Annual International Conference on High Performance Computing 2011 - Student Research Symposium (HiPC2011-SRS), Dec. 2011, http://www.hipc.org/hipc2011/studsym-papers/1569512661.pdf

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