Multilevel Methods for Sparse Representation of Topographical Data. - Abani K. Patra; Prashant Shekhar; E. Ramona Stefanescu (ICCS, 2016)

Multiscale and Multiresolution methods for Sparse representation of Large datasets. - Prashant Shekhar; Abani K. Patra; Beáta M. Csathó (ICCS, 2017)

Hierarchical Data Reduction and Learning. - Prashant Shekhar; Abani K. Patra (CoRR, 2019)

Localized Hierarchical Approximations for Data Reduction and Learning. - Prashant Shekhar (2019)

Hierarchical regularization networks for sparsification based learning on noisy datasets. - Prashant Shekhar; Abani K. Patra (CoRR, 2020)

A Forward Backward Greedy approach for Sparse Multiscale Learning. - Prashant Shekhar; Abani K. Patra (CoRR, 2021)

Quantisation of driving enablers enabling transition from traditional to flexible manufacturing system. - Prabhu Dubey; Prashant Chauhan; Prashant Shekhar; Prakhar Agarwal; Paras Sharma (Int. J. Manuf. Technol. Manag., 2021)

ALPS: A Unified Framework for Modeling Time Series of Land Ice Changes. - Prashant Shekhar; Beáta Csathó; Tony Schenk; Carolyn Roberts; Abani K. Patra (IEEE Trans. Geosci. Remote. Sens., 2021)

Machine learning based surrogate modeling with SVD enabled training for nonlinear civil structures subject to dynamic loading. - Siddharth S. Parida; Supratik Bose; Megan Butcher; Georgios Apostolakis; Prashant Shekhar (CoRR, 2022)

Object Shape Error Modelling and Simulation During Early Design Phase by Morphing Gaussian Random Fields. - Manoj Babu; Pasquale Franciosa; Prashant Shekhar; Dariusz Ceglarek (Comput. Aided Des., 2023)

Do Adversarial Patches Generalize? Attack Transferability Study Across Real-Time Segmentation Models in Autonomous Vehicles. - Prashant Shekhar; Bidur Devkota; Dumindu Samaraweera; Laxima Niure Kandel; Manoj Babu (SP (Workshops), 2025)

Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving. - Prashant Shekhar; Bidur Devkota; Dumindu Samaraweera; Laxima Niure Kandel; Manoj Babu (CoRR, 2025)

Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption. - Muhammad Ali Najjar; Ren-Yi Huang; Dumindu Samaraweera; Prashant Shekhar (CoRR, 2025)