Video archive of annual snapshot of current projects at GVCL:
(Nov 2014) (Nov 2015)

Wall of Fame:
Image gallery
Video gallery

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


[A. Chattopadhyay's publications are listed separately here.]


[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)

Peer-reviewed Conferences/Journals/Book Chapters:

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, 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 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)

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.

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.

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.

C. Auer, J. Sreevalsan-Nair, V. Zobel, and I. Hotz, 2D Tensor Field Segmentation, Scientific Visualization: Interactions, Features, and Metaphors, Schloss Dagstuhl-Leibniz-Zentrum fur Informatik 2011, vol 2, 17-35.

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,

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, vol 1, 110-123.

M. Esteva, W. Xu, J. Sreevalsan-Nair, A. Athalye, and M. Hade, Computational Analysis and Visualization of Electronic Records Collections, Joint Annual Meeting of the Society of American Archivists and the Council of State Archivists, Austin, TX, August 11, 2009.

M. Esteva, W. Xu, J. Sreevalsan-Nair, M. Hade, and  A. Athalye, Finding Narratives of Activities through Archival Bond in Electronically Stored Information (ESI), Global E-Discovery/E-Disclosure Workshop: A Pre-conference Workshop at the 12th International Conference on Artificial Intelligence and Law, Barcelona, Spain, August 6, 2009.

J. Sreevalsan-Nair, L. Linsen, and B. Hamann, Topologically Accurate Dual Isosurfaces using Ray Intersection, Journal of Virtual Reality and Broadcasting 4(4), 2007 (invited to special issue of Intl Conf on Computer Graphics Theory Applications, 2006) (Article on the JVRB site).

Sreevalsan-Nair, M. Verhoeven, D. L. Woodruff, I. Hotz, and B. Hamann, Human-guided enhancement of a stochastic local search: Visualization and adjustment of 3D pheromone, Proceedings of Engineering Stochastic Local Search Algorithms (SLS) 2007, Lecture Notes in Computer Science (LNCS) Series, Vol. 4638, Springer-Verlag, Heidelberg, Germany, pp. 182-186

J. Sreevalsan-Nair, E. Van Nieuwenhuyse, I. Hotz, L. Linsen, and B. Hamann, An Interactive Visual Exploration Tool for Northern California’s Water-Monitoring System, Proceedings of Visualization and Data Analysis 2007, San Jose, California, U.S.A., pp 649506-1 -- 649506-12.

J. Sreevalsan-Nair, L. Linsen, and B. Hamann,  Using Ray Intersection for Dual Isosurfacing,Proceedings of International Conference on Computer Graphics Theory and Applications, Setúbal, Portugal, February 2006, pp 34-42.

J. Sreevalsan-Nair, L. Linsen, B. A. Ahlborn, M. S. Green, and B. Hamann: Hierarchical Visualization of Large-scale Unstructured Hexahedral Volume Data,Proceedings of NSF/DoE Lake Tahoe Workshop on Collaborative Virtual Reality and Visualization 2003

D. Thompson, R. Machiraju, M. Jiang, J. Nair, G. Craciun, and S. Venkata, Physics-Based Feature Mining for Large Datasets, IEEE Computing in Science and Engineering, Vol. 4, No. 4, 2002, pp 22-30.

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.

E.van Nieuwenhuyse, J. Sreevalsan-Nair, I. Hotz, L. Linsen, and B. Hamann, Demonstration of an interactive data visualization tool for water resource monitoring networks in the Delta and its catchment, Laptop demonstration at Interagency Ecological Program (IEP) Annual Workshop 2007, California, 2007.

J. Sreevalsan-Nair, C.S. Co, E.van Nieuwenhuyse, L. Linsen, and B. Hamann, Visualization of Water Resource Data, Poster presentation at U.C.Davis Student Workshop of Computing, California, 2003, pp 28-29

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