| 2026 | VEHITS | Enactor: From Traffic Simulators to Surrogate World Models. | Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka |
| 2025 | PAKDD | Machine Learning Techniques for Data Reduction of Climate Applications. | Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2025 | PAKDD | Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. | Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2025 | PAKDD | Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. | Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka |
| 2025 | SC | Stability-preserving Lossy Compression for Large-scale Partial Differential Equations. | Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky |
| 2025 | SC | Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction. | Xiao Li, Liangji Zhu, Anand Rangarajan, Sanjay Ranka |
| 2024 | DCC | Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. | Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2024 | DCC | Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. | Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2023 | DCC | Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. | Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2023 | HiPC | Fast Algorithms for Scientific Data Compression. | Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2023 | VEHITS | Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. | Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan |
| 2023 | VEHITS | Using DSRC Road-Side Unit Data to Derive Braking Behavior. | Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan |
| 2022 | AAAI | Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. | Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan |
| 2022 | HiPC | An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. | Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2022 | SSDBM | Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. | Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky |
| 2021 | ICANN | Hybrid Generative Models for Two-Dimensional Datasets. | Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan |
| 2021 | ICML | Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. | Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan |
| 2021 | VEHITS | Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. | Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka |
| 2020 | HiPC | SparsePipe: Parallel Deep Learning for 3D Point Clouds. | Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka |
| 2020 | VEHITS | Clustering Object Trajectories for Intersection Traffic Analysis. | Tania Banerjee, Xiaohui Huang, Ke Chen, Anand Rangarajan, Sanjay Ranka |
| 2020 | VEHITS | A Visual Analytics System for Processed Videos from Traffic Intersections. | Ke Chen, Tania Banerjee, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka |
| 2020 | VEHITS | Video-based Machine Learning System for Commodity Classification. | Pan He, Aotian Wu, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka |
| 2020 | VEHITS | Machine Learning based Video Processing for Real-time Near-Miss Detection. | Xiaohui Huang, Tania Banerjee, Ke Chen, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka |
| 2020 | VEHITS | Data Mining Algorithms for Traffic Interruption Detection. | Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka |
| 2020 | VEHITS | A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs. | Dhruv Mahajan, Tania Banerjee, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka |
| 2019 | VEHITS | Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections. | Dhruv Mahajan, Tania Banerjee, Anand Rangarajan, Nithin Agarwal, Jeremy Dilmore, Emmanuel Posadas, Sanjay Ranka |
| 2018 | AMIA | Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. | Chengliang Yang, Anand Rangarajan, Sanjay Ranka |
| 2018 | DASC | Densely Labeling Large-Scale Satellite Images with Generative Adversarial Networks. | Yupeng Yan, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka |
| 2018 | HPCC | Global Model Interpretation Via Recursive Partitioning. | Chengliang Yang, Anand Rangarajan, Sanjay Ranka |
| 2018 | ICPR | An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification. | Yupeng Yan, Anand Rangarajan, Sanjay Ranka |
| 2017 | CVPR | Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. | Yuan Zhou, Anand Rangarajan, Paul D. Gader |
| 2017 | DASC | Super-Scalable Computation Framework for Automated Terrain Identification. | Yupeng Yan, Manu Sethi, Anand Rangarajan, Sanjay Ranka |
| 2017 | IGARSS | A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions. | Subit Chakrabarti, Pang-Wei Liu, Jasmeet Judge, Anand Rangarajan, Roger D. De Roo, Rajat Bindlish, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Thomas J. Jackson, Anthony W. England, Sanjay Ranka, Simon Yueh |
| 2016 | ACCV | Supervoxel-Based Segmentation of 3D Volumetric Images. | Chengliang Yang, Manu Sethi, Anand Rangarajan, Sanjay Ranka |
| 2016 | ECCV | Resonant Deformable Matching: Simultaneous Registration and Reconstruction. | John Corring, Anand Rangarajan |
| 2016 | ICPR | Image stack surface area minimization for groupwise and multimodal affine registration. | Birmingham H. Guan, John Corring, Manu Sethi, Sanjay Ranka, Anand Rangarajan |
| 2015 | IGARSS | Downscaling microwave brightness temperatures using self regularized regressive models. | Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka |
| 2015 | KDD | Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. | Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka |
| 2014 | CVPR | A Riemannian Framework for Matching Point Clouds Represented by the Schrdinger Distance Transform. | Yan Deng, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri |
| 2014 | CVPR | Superpixel Estimation for Hyperspectral Imagery. | Pegah Massoudifar, Anand Rangarajan, Paul D. Gader |
| 2014 | ICPR | Shape from Phase: An Integrated Level Set and Probability Density Shape Representation. | John Corring, Anand Rangarajan |
| 2012 | CVPR | The Schrdinger distance transform (SDT) for point-sets and curves. | Manu Sethi, Anand Rangarajan, Karthik S. Gurumoorthy |
| 2012 | ICASSP | Data-driven tree-structured Bayesian network for image segmentation. | Kittipat Kampa, Jos C. Prncipe, Duangmanee Putthividhya, Anand Rangarajan |
| 2011 | MICCAI | Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. | Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk |
| 2011 | VTC | Supporting High Speed on WiMAX: From Theory to Practice. | Alan Rottinghaus, Raghunath Hariharan, Xingang Guo, Anand Rangarajan, Rotem Avivi, Alexander Busch, Brian Conner |
| 2010 | MICCAI | Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI. | Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri |
| 2009 | ICCV | An algebraic approach to affine registration of point sets. | Jeffrey Ho, Adrian M. Peter, Anand Rangarajan, Ming-Hsuan Yang |
| 2009 | MICCAI | Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. | Fei Wang, Tanveer Fathima Syeda-Mahmood, Baba C. Vemuri, David Beymer, Anand Rangarajan |
| 2008 | CVPR | Shape L'ne rouge: Sliding wavelets for indexing and retrieval. | Adrian M. Peter, Anand Rangarajan, Jeffrey Ho |
| 2008 | ICPR | Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation. | Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan |
| 2007 | MICCAI | Deformable Density Matching for 3D Non-rigid Registration of Shapes. | Arunabha S. Roy, Ajay Gopinath, Anand Rangarajan |
| 2007 | WACV | A New Affine Registration Algorithm for Matching 2D Point Sets. | Jeffrey Ho, Ming-Hsuan Yang, Anand Rangarajan, Baba C. Vemuri |
| 2007 | WiOpt | Estimation of Bandwidth in Bridged Home Networks. | Niveditha Sundaram, W. Steven Conner, Anand Rangarajan |
| 2006 | CVPR | New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration. | Ajit Rajwade, Arunava Banerjee, Anand Rangarajan |
| 2006 | CVPR | Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence. | Fei Wang, Baba C. Vemuri, Anand Rangarajan |
| 2006 | ECCV | Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. | Fei Wang, Baba C. Vemuri, Anand Rangarajan, Ilona M. Schmalfuss, Stephan J. Eisenschenk |
| 2006 | MICCAI | A New Closed-Form Information Metric for Shape Analysis. | Adrian M. Peter, Anand Rangarajan |
| 2005 | INFOCOM | Exploiting heterogeneity in sensor networks. | Mark D. Yarvis, Nandakishore Kushalnagar, Harkirat Singh, Anand Rangarajan, York Liu, Suresh Singh |
| 2005 | LCN | Designing and Deploying a Rural Ad-Hoc Community Mesh Network Testbed. | Wayne Allen, Art Martin, Anand Rangarajan |
| 2005 | MICCAI | 3-D Diffeomorphic Shape Registration on Hippocampal Data Sets. | Hongyu Guo, Anand Rangarajan, Sarang C. Joshi |
| 2005 | SIGCOMM | Algorithms for advanced packet classification with ternary CAMs. | Karthik Lakshminarayanan, Anand Rangarajan, Srinivasan Venkatachary |
| 2004 | CVPR | A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching. | Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes |
| 2004 | CVPR | Affine Image Registration Using a New Information Metric. | Jie Zhang, Anand Rangarajan |
| 2004 | ICIP | Non rigid registration of shapes via diffeomorphic point matching and clustering. | Laurent Garcin, Anand Rangarajan, Laurent Younes |
| 2003 | ICCV | A Bayesian Network Framework for Relational Shape Matching. | Anand Rangarajan, James M. Coughlan, Alan L. Yuille |
| 2002 | MICCAI | Kernel Fisher for Shape Based Classification in Epilepsy. | N. Vohra, Baba C. Vemuri, Anand Rangarajan, Robin L. Gilmore, S. N. Roper, Christiana Morison Leonard |
| 2001 | CVPR | A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching. | Anand Rangarajan, Haili Chui, Eric Mjolsness |
| 2000 | CVPR | A New Algorithm for Non-Rigid Point Matching. | Haili Chui, Anand Rangarajan |
| 2000 | IJCNN | A New Deterministic Annealing Algorithm for Maximum Clique. | Arun Jagota, Marcello Pelillo, Anand Rangarajan |
| 1999 | ICNP | ERUF: Early Regulation of Unresponsive Best-Effort Traffic. | Anand Rangarajan, Anurag Acharya |
| 1999 | MICCAI | Entropy-Based, | Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan |
| 1998 | MICCAI | A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. | Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan |
| 1996 | CVPR | Graph matching by graduated assignment. | Steven Gold, Anand Rangarajan |
| 1995 | ICCV | A Geometric Criterion for Shape-Based Non-Rigid Correspondence. | Hemant D. Tagare, Donal O'Shea, Anand Rangarajan |
| 1994 | CVPR | The outlier process: unifying line processes and robust statistics. | Michael J. Black, Anand Rangarajan |
| 1991 | ICASSP | Image estimation and segmentation using a continuation method. | Anand Rangarajan, Rama Chellappa |
| 1990 | ICPR | Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation. | Anand Rangarajan, Rama Chellappa |