Theme: Visualization/HCI

The preprints of these papers are available at ResearchGate.

2026:

B. Gnanaraj, J. Sreevalsan-Nair, S. A. Ansari, and M. Rajaraman, Consensus Clustering of Free-Viewing Gaze Data: New Insights into Human-Information Interaction, arXiv Preprints, 2026. [Online]. Available: http://arxiv.org/abs/2606.30035

G. Jindal, J. Sharma, B. Gnanaraj, and J. Sreevalsan-Nair, “SeeIntent: A Real-Time Multimodal Intent Recognition System in XR Using Spatio-Temporal LLM,” in Proceedings of the 2nd Workshop on Eye Tracking Techniques, Applications and Challenges (ETTAC 2026) (accepted), IAPR, Springer LNCS, 2026.

K. N, A. Kulkarni, and J. Sreevalsan-Nair, “HybriDTVis: 3D Building-Road Reconstruction and Visualization of Hybrid Primitives of City-scale LiDAR Point Clouds for Digital Twins,” in Proceedings of the 12th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2026), INSTICC, 2026, p. 25. (In Press).

K. N, J. Sreevalsan-Nair, and P. Goswami, “Road and Building Reconstruction from 3D LiDAR Point Clouds: Scoping Review,” Archives of Computational Methods in Engineering, p. 36, 2026, https://doi.org/10.1007/s12145-026-02096-9 [Online] Available: https://rdcu.be/fdl6Z; Preprint at https://doi.org/10.21203/rs.3.rs-8743815/v1

B. B. Desai, Y. A. Rajapur, A. Mundayatt, and J. Sreevalsan-Nair, “CityAQVis: Integrated ML-Visualization Sandbox Tool for Pollutant Estimation in Urban Regions Using Multi-Source Data (Software Article),” Earth Science Informatics, vol. 19, no. 36, pp. 1–20, 2026. [Online] Available: https://rdcu.be/e7wxm; Preprint at https://arxiv.org/abs/2510.18878

2025:

B. Gnanaraj, and J. Sreevalsan-Nair, Cognitive Load Estimation and Analysis Using Eye Tracking in Mental Health Care Application, presented at the Doctoral Colloquium, Pattern Recognition and Machine Intelligence (PReMI’25) Conference, 2025.

V. S. Bitra, R. R. Vangimalla, and J. Sreevalsan-Nair, “Network-based Diseasome Construction from Multi-omics Data and RadTrix Visualization,” IEEE Transactions on Computational Biology and Bioinformatics, vol. 22, no. 6, pp 3550-3556, 2025. https://doi.org/10.1109/TCBBIO.2025.3599771 

K. Sama, J. Sreevalsan-Nair, S. Choudhary, S. Nagendra, P. V. Reddy, A. Cohen, U. M. Mehta, and J. Torous, “mindLAMPVis as a Co-designed Clinician-facing Data Visualization Portal to Integrate Clinical Observations from Digital Phenotyping in Schizophrenia: User-centered Design Process and Pilot Implementation,” JMIR Formative Research, vol. 9:e70073, 2025, PMID: 40493647; Preprint at https://preprints.jmir.org/preprint/70073  DOI: https://doi.org/10.2916/70073  [Online]. Available: https://formative.jmir.org/2025/1/e70073 

B. Gnanaraj, S. Manivasagam, and J. Sreevalsan-Nair, “To the Point: From Dynamic Heatmap Video to Gaze Points,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, ser. ETRA ’25, New York, NY, USA: ACM, 2025. https://doi.org/10.1145/3715669.3725873 

2024:

P. Nileshbhai Butani, J. Sreevalsan-Nair, and N. Kamat, “CMA: An End-to-End System for Reverse Engineering Choropleth Map Images,” IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1–5, 2024, also presented at the GRSL Special Stream at the 37th Conference on Graphics, Patterns and Images (SIBGRAPI 2024). (doi)

S. Mathai, P. Krishnan, and J. Sreevalsan Nair, “Understanding Graphical Literacy Using School Students’ Comprehension Strategies,” Contemporary Education Dialogue, pp. 1–35, 2024. (doi)

2023:

P. Rastogi, K. Singh, and J. Sreevalsan-Nair, “SunburstChartAnalyzer: Hierarchical Data Retrieval from Images of Sunburst Charts for Tree Visualization,” in Computer Graphics & Visual Computing (CGVC), P. Vangorp and D. Hunter, Eds., The Eurographics Association, 2023, pp. 97–101, ISBN: 978-3-03868-231-8. (doi)

B. Gnanaraj and J. Sreevalsan-Nair, “EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-Based Analysis,” in Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, ser. ETRA ’23, Tubingen, Germany: ACM, 2023. (doi)

S. Singh and J. Sreevalsan-Nair, “Visual Exploration of LiDAR Point Clouds,” in Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications, Chapter 12, K. Kurte, S. Durbha, J. Sanyal, L. Yang, S. Chaudhari, U. Bhangale, and U. Bharambe, Eds., Florida, USA: CRC Press, 2023, p. 19. (doi)

J. Sreevalsan-Nair, “On Metavisualization and Properties of Visualization,” in Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Vol 3, IVAPP, INSTICC, SciTePress, 2023, pp. 230–239, ISBN: 978-989-758-634-7. (doi)

2022:

S. C. Daggubati, J. Sreevalsan-Nair, and K. Dadhich, “BarChartAnalyzer: Data Extraction and Summarization of Bar Charts from Images,” SN Computer Science, 3(500), 1–19, 2022. (full-text view) (doi)

J. Sreevalsan-Nair, “Virtual Globe,” in Encyclopedia of Mathematical Geosciences, Encyclopedia of Earth Sciences Series, B. S. Daya Sagar, Q. Cheng, J. McKinley, and F. Agterberg, Eds., Cham: Springer International Publishing, 2022. (doi)

H. Ravindra and J. Sreevalsan-Nair, Spatial and Visual Analytics for Grouped Analysis of Population Survey Data, presented at the doctoral research workshop at the 26th International Conference on Information Visualization IV2022, July 2022.

H. Ravindra and J. Sreevalsan-Nair, "Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys," in Proceedings of the 26th International Conference on Information Visualization IV2022, IEEE, 2022, pp. 432–441. (doi) 

S. C. Daggubati and J. Sreevalsan-Nair, “ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects,” in Proceedings of the 22 nd International Conference, Part III, chapter 50, Cham: Springer International Publishing, 2022, pp. 605–612. (doi)

S. Agarwal, F. Beck, U. Ghosh, and J. Sreevalsan-Nair, CiteVis: Visual Analysis of Overlapping Citation Intents as Dynamic Sets, accepted for poster presentation at the 15th IEEE Pacific Visualization Symposium (PacificVis) 2022, April 2022.

2021:

J. Sreevalsan-Nair, K. Dadhich, and S. C. Daggubati, "Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots," in Topological Methods in Data Analysis and Visualization VI, Ingrid Hotz, Talha Bin Masood, Filip Sadlo, and Julien Tierny (Eds.). Springer, Cham, 2021, pp 219-241. (doi). Preprint at arXiv (2020), October 2020, https://arxiv.org/abs/2010.02319

A. C. Victor and J. Sreevalsan-Nair, “Building 3D Virtual Worlds from Monocular Images of Urban Road Traffic Scenes,” in International Symposium on Visual Computing (ISVC 2021), Part II, Lecture Notes in Computer Science LNCS 13018, Bebis, George et al., Springer Nature Switzerland AG, pp 1-14, 2021. (doi)(Easychair preprint)

J. Sreevalsan-Nair, “Data Visualization,” in Earth Sciences Series, Encyclopedia of Mathematical Geosciences (accepted), B. S. D. Sagar, Q. Cheng, J. McKinley, and F. Agterberg, Eds., Springer International Publishing, 2022. (doi)

K. Dadhich, S. C. Daggubati, and J. Sreevalsan-Nair, “ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model,” in International Conference on Computational Science, Computational Science -- ICCS 2021, Part V, Lecture Notes in Computer Science, volume 12746, M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, and P. M. Dongarra, Jack J. and Sloot, Eds., Cham: Springer International Publishing, 2021, pp. 70–83, ISBN: 978-3-030-77977-1. (doi)

K. Dadhich, S. C. Daggubati, and J. Sreevalsan-Nair, "BarChartAnalyzer: Digitizing Images of Bar Charts," in the Proceedings of the International Conference on Image Processing and Vision Engineering (IMPROVE 2021), pp 17--28, April 2021, SCITEPRESS. (doi) (Best Paper Award Nomination)

H. Ravindra, and J. Sreevalsan-Nair, "Integrating Population Surveys Using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India," in the Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications, and Management (GISTAM 2021), pp 203--213, April 2021, SCITEPRESS. (doi)

2020:

R. R. Vangimalla and J. Sreevalsan-Nair, "Construction and Visualization of Diseasome of Lung Diseases Associated with COVID-19 from Co-association Networks of Multi-omics Data," accepted as a poster in NetBio COSI at the 28th Conference on Intelligent Systems for Molecular Biology (ISMB), July 2020. (abstract)(doi)(doi for additional oral presentation)

J. Sreevalsan-Nair, and P. Mohapatra, “Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Comparison,”  in arXiv (2020), May 2020, https://arxiv.org/abs/2005.02152

2019:

A. C. Victor, and J. Sreevalsan-Nair, "Scene Editing Using Synthesis of Three-Dimensional Virtual Worlds From Monocular Images of Urban Road Traffic Scenes", accepted for spotlight session and poster at the ACM SIGGRAPH European Conference on Visual Media Production (CVMP) in December 2019.(conference-proceedings)

R. R. Vangimalla, and J. Sreevalsan-Nair, "RadTrix: A Composite Hybrid Visualization for Unbalanced Bipartite Graphs in Biological Datasets," accepted as a poster in the 9th Eurographics Workshop on Visual Computing for Biology and Medicine, September 2019. (conference-proceedings)

2018:

J. Sreevalsan-Nair, "Visual Analytics of 3D Airborne LiDAR Point Clouds in Urban Regions," in Sarda, N., Acharya, P., Sen, S. (eds) Geospatial Infrastructure, Applications and Technologies: India Case Studies, pp 313-325, Springer Singapore, November 2018. (doi)

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, pp. 289-300, 2018. (doi)

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. 

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. (doi)(Best Paper Award Nomination)

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)

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. 

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)

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)

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)

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)

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)