Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. - Madhushan Buwaneswaran; Tehara Fonseka; Apurva Narayan; Katarina Grolinger (ICMLA, 2023)

Temporally Chained Equations: An Interpretable Missing Data Imputation Approach for Smart Meters with Low Data Requirements. - Madhushan Buwaneswaran; Katarina Grolinger (IECON, 2024)

Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas. - Muhammad Umair Danish; Madhushan Buwaneswaran; Tehara Fonseka; Katarina Grolinger (IECON, 2024)

Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification. - Kyle Dunphy; Madhushan Buwaneswaran; Katarina Grolinger; Ayan Sadhu (J. Comput. Civ. Eng., 2025)