## Gallery

**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

## Publications

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

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)

**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, http://www.hipc.org/hipc2011/studsym-papers/1569512661.pdf

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.

**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.

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

© 2017 Jaya Sreevalsan-Nair

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