My research endeavors are centered around the application of AI and ML in various fields. I have worked extensively on developing techniques for knowledge extraction from data, especially under limited and imbalanced data settings. I have also worked on several Data Science and Computer Vision projects which I find quite intriguing.
In general, my research interests focus on interdisciplinary areas where I can apply machine learning across diverse domains, particularly computer vision and healthcare.
Machine Learning
Deep Learning
Computer Vision
Imbalanced Learning
Natural Language Processing
Data Analysis, Data Mining and Knowledge Discovery
Explainable AI
Generative AI
AI Bias
AI in Healthcare (medical diagnosis, prognosis, analysis of EHR)
ML in Signal & Image Processing
ML in Communication and Sensing Technologies
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