| Mar 2, 2026 | Our paper entitled “Multi-Way Representation Alignment” has been published at the ICLR 2026 Re-Align Workshop. |
| Feb 28, 2026 | Our paper entitled “Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift” has been published at Catch, Adapt, and Operate: Monitoring ML Models Under Drift (ICLR 2026 CAO Workshop). |
| Dec 21, 2025 | Our paper entitled “Localising Shortcut Learning in Pixel Space via Ordinal Scoring Correlations for Attribution Representations (OSCAR)” is available on arXiv. |
| Sep 19, 2025 | Our paper entitled “Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-Based Alzheimer’s Disease Classification” has been published in FAIMI 2025. |
| Jan 22, 2025 | Our paper entitled “Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers” has been accepted at the NAACL 2025 Main Conference. I am grateful for the mentorship I received from Dr. Anshuman Chhabra. |
| Oct 1, 2024 | I have started my PhD with the Motion Modelling & Analysis Group group at King’s College London as a part of the DRIVE-Health programme. I will be exploring algorithmic fairness in medical imaging. |
| Jun 25, 2024 | Our paper entitled “Efficient Biomedical Entity Linking: Clinical Text Standardization with Low-Resource Techniques” has been accepted at the BioNLP Workshop @ ACL 2024. |
| Jan 11, 2024 | Our paper entitled “Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization” has been published at Neurocomputing. |
| Dec 8, 2023 | Our paper entitled “TrueDeep: A systematic approach of crack detection with less data” has been published at Expert Systems with Applications. |
| Jun 30, 2023 | Our paper entitled “CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity” has been accepted at CVIP, 2023. |