Kaoutar Ben Ahmed
Title: Assistant Teaching Professor, Florida International University
Research Expertise
Dr. Kaoutar specializes in the application of Artificial Intelligence (AI) to healthcare, with a focus on bridging machine learning and bioinformatics. AI offers unprecedented opportunities to improve patient care through more accurate and efficient clinical decision support systems. Dr. Kaoutar’s research addresses the challenges of developing reliable, interpretable AI models that can be effectively deployed in real-world healthcare settings.
A primary goal of Dr. Kaoutar's work is to improve the generalizability and transparency of AI models, ensuring they perform consistently across diverse clinical environments. By exploring novel machine learning techniques, particularly deep learning, Dr. Kaoutar aims to create AI solutions that are not only highly accurate but also explainable, meeting the growing need for interpretable results in healthcare applications.
In addition to research, Dr. Kaoutar is committed to advancing education in AI and data science, focusing on adapting and designing courses that reflect current trends in AI for healthcare and biomedicine. Dr. Kaoutar prioritizes involving students in hands-on projects to ensure they gain practical experience in developing AI-powered tools and applications for the healthcare industry.
Areas of Expertise/Keywords
- Artificial Intelligence
- Machine Learning
- Medical Image Analysis
- Data Mining
