As an active researcher, Ranpreet has more than 25 research publications in refereed journals and conferences, has guided various summer research projects at Media Design School, and has worked on AUT-funded research projects based on Artificial Intelligence. Her research focuses on Artificial Intelligence with expertise spanning across Machine Learning, Deep Learning, AI Ethics, and data-driven decision-making systems.
Research Interests
- AI Healthcare solutions and Biomedical Image Processing
- Computer Vision
- Natural Language Processing
- Pattern Matching
- Speech Processing
Current Research Projects
- Emotion Recognition in Short Speech Using Wavelet Decomposition: A Mental Health Monitoring Approach.
- Histopathological medical image analysis and interpretation using multi-models
- Cancer diagnosis using AI models
- Accuracy assessment for Code Generation using Large Language models
Courses Taught
Bachelor of Software Engineering-Artificial Intelligence

Dr Ranpreet Kaur presenting her paper "A Review of Programming Languages for Teaching Artificial Intelligence" at Citrenz Conference in Dunedin
Recent Work
Kaur, R., GholamHosseini, H., & Lindén, M. (2025). Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection. Sensors, 25(3), 594; https://doi.org/10.3390/s25030594
Afifi, S., Aly, A., Kaur, R., & Taha, R. (2025). A Medical Scanning Device for Early Detection of Skin Cancer. Journal of Engineering and Science in Medical Diagnostics and Therapy, 1-9. https://doi.org/10.1115/1.4068150
Afifi, S. M., Kaur, R., GholamHosseini, et al., (2025, July). Diagnosis of Metastatic Tissues in Histopathologic Images using DenseNet-121 with Data Augmentation (2569), 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, July 14-17, 2025.
Kaur, R., GholamHosseini, H., Iskander, P., Taha, R., & Afifi, S. (2024, November). Development of Mobile Application for Skin Cancer Detection Using Deep Learning Models. In 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI), Melbourne, Australia, Nov. 22–23, pp. 12–16.10.1109/ISCMI63661.2024.10851578.
Reviewer for Journals:
- Biomedical Signal Processing and Control,
- Expert Systems,
- MDPI Sensors,
- ASME journals.
Collaborations with other research teams from
- Auckland University of Technology,
- Torrens University Australia,
- German University in Cairo,
- Counties Manukau Health, New Zealand.