Physics-based feature mining for large data exploration. - David S. Thompson; Raghu Machiraju; Ming Jiang 005; Jaya Sreevalsan-Nair; Gheorghe Craciun; Satya Sridhar Dusi Venkata (Comput. Sci. Eng., 2002)

Using ray intersection for dual isosurfacing. - Jaya Sreevalsan-Nair; Bernd Hamann; Lars Linsen (GRAPP, 2006)

Human-Guided Enhancement of a Stochastic Local Search: Visualization and Adjustment of 3D Pheromone. - Jaya Sreevalsan-Nair; Meike Verhoeven; David L. Woodruff; Ingrid Hotz; Bernd Hamann (SLS, 2007)

An interactive visual exploration tool for Northern California's water-monitoring network. - Jaya Sreevalsan-Nair; Erwin Van Nieuwenhuyse; Ingrid Hotz; Lars Linsen; Bernd Hamann (Visualization and Data Analysis, 2007)

Topologically Accurate Dual Isosurfacing Using Ray Intersection. - Jaya Sreevalsan-Nair; Lars Linsen; Bernd Hamann (J. Virtual Real. Broadcast., 2007)

Visual Representation of Multiple Associations in Data using Constrained Graph Layout. - Weijia Xu; Jaya Sreevalsan-Nair (TPCG, 2009)

Tensor Field Reconstruction Based on Eigenvector and Eigenvalue Interpolation. - Ingrid Hotz; Jaya Sreevalsan-Nair; Hans Hagen; Bernd Hamann (Scientific Visualization: Advanced Concepts, 2010)

Eigenvector-based Interpolation and Segmentation of 2D Tensor Fields. - Jaya Sreevalsan-Nair; Cornelia Auer; Bernd Hamann; Ingrid Hotz (Topological Methods in Data Analysis and Visualization, 2011)

2D Tensor Field Segmentation. - Cornelia Auer; Jaya Sreevalsan-Nair; Valentin Zobel; Ingrid Hotz (Scientific Visualization: Interactions, Features, Metaphors, 2011)

Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements. - Akshay Narayan 002; Jaya Sreevalsan-Nair; Kelly P. Gaither; Bernd Hamann (GRAPP/IVAPP, 2012)

Visualization of Small World Networks Using Similarity Matrices. - Saima Parveen; Jaya Sreevalsan-Nair (BDA, 2013)

Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud. - Beena Kumari; Avijit Ashe; Jaya Sreevalsan-Nair (BDA, 2014)

An interactive visual analytic tool for semantic classification of 3D urban LiDAR point cloud. - Beena Kumari; Jaya Sreevalsan-Nair (SIGSPATIAL/GIS, 2015)

NodeTrix-Multiplex: Visual Analytics of Multiplex Small World Networks. - Shivam Agarwal; Amit Tomar; Jaya Sreevalsan-Nair (COMPLEX NETWORKS, 2016)

NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks. - Jaya Sreevalsan-Nair; Shivam Agarwal (VISIGRAPP (3: IVAPP), 2017)

Using gradients and tensor voting in 3D local geometric descriptors for feature detection in airborne lidar point clouds in urban regions. - Jaya Sreevalsan-Nair; Akshay Jindal (IGARSS, 2017)

Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans using Model based Testing. - Kuruvilla Lukose; Shivam Agarwal; Vidyashankar Nagesha Rao; Jaya Sreevalsan-Nair (VISIGRAPP (3: IVAPP), 2018)

Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multiscale Local Geometric Descriptors and Visual Analytics. - Jaya Sreevalsan-Nair; Akshay Jindal; Beena Kumari (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

HIPC 2019 Women in Computing Workshop. - Nitya Hariharan; P. Chitra; Jaya Sreevalsan-Nair (HiPC Workshops, 2019)

A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network. - Reddy Rani Vangimalla; Jaya Sreevalsan-Nair (EMBC, 2020)

Influence of Aleatoric Uncertainty on Semantic Classification of Airborne Lidar Point Clouds: A Case Study with Random Forest Classifier Using Multiscale Features. - Jaya Sreevalsan-Nair; Pragyan Mohapatra (IGARSS, 2020)

Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Determining Change in Time-varying Data. - Jaya Sreevalsan-Nair; Pragyan Mohapatra (CoRR, 2020)

Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots. - Jaya Sreevalsan-Nair; Komal Dadhich; Siri Chandana Daggubati (CoRR, 2020)

IMGD: Image-based Multiscale Global Descriptors of Airborne LiDAR Point Clouds Used for Comparative Analysis. - Jaya Sreevalsan-Nair; Pragyan Mohapatra; Satendra Singh (STAG, 2021)

HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction. - Reddy Rani Vangimalla; Jaya Sreevalsan-Nair (EMBC, 2021)

Integrating Population Surveys using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India. - Harshitha Ravindra; Jaya Sreevalsan-Nair (GISTAM, 2021)

ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-Based Computational Model. - Komal Dadhich; Siri Chandana Daggubati; Jaya Sreevalsan-Nair (ICCS (5), 2021)

A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Large-Scale Airborne LiDAR Point Clouds. - Satendra Singh; Jaya Sreevalsan-Nair (ICDCIT, 2021)

BarChartAnalyzer: Digitizing Images of Bar Charts. - Komal Dadhich; Siri Chandana Daggubati; Jaya Sreevalsan-Nair (IMPROVE, 2021)

Building 3D Virtual Worlds from Monocular Images of Urban Road Traffic Scenes. - Ankita Christine Victor; Jaya Sreevalsan-Nair (ISVC (2), 2021)

RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence. - Dhvani Katkoria; Jaya Sreevalsan-Nair (DeLTA, 2022)

Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. - Dhvani Katkoria; Jaya Sreevalsan-Nair (DeLTA (Selected Papers), 2022)

CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed Networks and a Case Study of Migration Flow. - Jaya Sreevalsan-Nair; Astha Jakher (KDIR, 2022)

ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects. - Siri Chandana Daggubati; Jaya Sreevalsan-Nair (ICCS (3), 2022)

Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys. - Harshitha Ravindra; Jaya Sreevalsan-Nair (IV, 2022)

Adaptive Multiscale Feature Extraction in a Distributed System for Semantic Classification of Airborne LiDAR Point Clouds. - Satendra Singh; Jaya Sreevalsan-Nair (IEEE Geosci. Remote. Sens. Lett., 2022)

BarChartAnalyzer: Data Extraction and Summarization of Bar Charts from Images. - Siri Chandana Daggubati; Jaya Sreevalsan-Nair; Komal Dadhich (SN Comput. Sci., 2022)

EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-based Analysis. - Beryl Gnanaraj; Jaya Sreevalsan-Nair (ETRA, 2023)

On Metavisualization and Properties of Visualization. - Jaya Sreevalsan-Nair (VISIGRAPP (3: IVAPP), 2023)

A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis. - Harshitha Ravindra; Jaya Sreevalsan-Nair (SN Comput. Sci., 2023)

ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds. - Dhvani Katkoria; Jaya Sreevalsan-Nair; Mayank Sati; Sunil Karunakaran (DeLTA (2), 2024)

SuP-SLiP: Subsampled Processing of Large-scale Static LIDAR Point Clouds. - Vijay Jaisankar; Jaya Sreevalsan-Nair (GeoSearch@SIGSPATIAL, 2024)

Scaling Up Study Area Size in Flood Susceptibility Mapping. - Aswathi Mundayatt; Jaya Sreevalsan-Nair (IGARSS, 2024)

CMA: An End-to-End System for Reverse Engineering Choropleth Map Images. - Prince Nileshbhai Butani; Jaya Sreevalsan-Nair; Nilay Kamat (IEEE Geosci. Remote. Sens. Lett., 2024)

Multispectral data mining: A focus on remote sensing satellite images. - Sin Liang Lim; Jaya Sreevalsan-Nair; B. S. Daya Sagar (WIREs Data. Mining. Knowl. Discov., 2024)

To the Point: From Dynamic Heatmap Video to Gaze Points. - Beryl Gnanaraj; Swetha Manivasagam; Jaya Sreevalsan-Nair (ETRA, 2025)

CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination. - Vidhu Arora; Shreyan Gupta; Ananthakrishna Kudupu; Aditya Priyadarshi; Aswathi Mundayatt; Jaya Sreevalsan-Nair (CoRR, 2025)

Evolution of Data-driven Single- and Multi-Hazard Susceptibility Mapping and Emergence of Deep Learning Methods. - Jaya Sreevalsan-Nair; Aswathi Mundayatt (CoRR, 2025)

Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images. - Siddharth Kothari; Srinivasan Murali; Sankalp Kothari; Ujjwal Verma; Jaya Sreevalsan-Nair (CoRR, 2025)