Rate My Professor Naeha Sharif

Her research interests encompass Vision-Language Models, Multimodal Learning, Automatic Image and Video Description, Captioning and Machine Translation Metrics, Medical Image Analysis, and Automatic Medical Report Generation. Publications feature in leading conferences and journals such as the European Conference on Computer Vision (ECCV), International Journal of Computer Vision (IJCV), Association for Computational Linguistics (ACL), and Winter Conference on Applications of Computer Vision (WACV). Key works include "Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images" (EBioMedicine, 2023), "NNEval: Neural network based evaluation metric for image captioning" (ECCV, 2018), "Learning-based composite metrics for improved caption evaluation" (ACL, 2018), and "Machine-Learning Assessed Abdominal Aortic Calcification is Associated with Long-Term Fall and Fracture Risk in Community-Dwelling Older Australian Women" (Journal of Bone and Mineral Research, 2023). With over 439 citations on Google Scholar, her research impacts medical diagnostics, including projects on quantifying Abdominal Aortic Calcification from DXA spine scans and generating reports for Fundus Fluorescein Angiography images. Awards comprise the ACS 1962 Medal for the most outstanding PhD in Information Technology and Computer Science in Western Australia (2021), Honourable Mention on UWA Dean's List (2021), Best Contribution to Science Award at DICTA 2020, and Citation award for Outstanding Contributions to Student Learning (2025). She is a member of the IEEE Signal Processing Society and supervises PhD students.