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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.