Dr. Fatemeh Aghagoli, Iran University of Science and Technology, Iran
🎓 Fatemeh Aghagoli is a Ph.D. student at the Iran University of Science and Technology, specializing in Mathematics and Computer Science. She is affiliated with the Faculty of Mathematics and Computer Science and is a member of the National Elite Foundation of Iran, recognized for her academic excellence. 🔍 Her primary research interests encompass machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling, particularly focusing on applications in medical science. 🌐 Actively contributing to cutting-edge research initiatives, Fatemeh leverages her expertise to address complex challenges in medical science, aiming to advance diagnostics and treatment methodologies. 📊 With a commitment to interdisciplinary applications, she has demonstrated exceptional academic prowess and a dedication to pushing the boundaries of knowledge in her field.
Professional Profile:
Google Scholar
🎓 Education:
Fatemeh Aghagoli is a Ph.D. student at the Iran University of Science and Technology, specializing in Mathematics and Computer Science. She is also a member of the National Elite Foundation of Iran, recognizing her academic excellence.
🔍 Research Interests:
Fatemeh’s primary research interests revolve around machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling, particularly in the field of medical science.
📊 Expertise:
With a focus on interdisciplinary applications, Fatemeh leverages her expertise in machine learning and image processing to address complex challenges in medical science, aiming to advance diagnostics and treatment methodologies.
🌟 Achievements:
As a member of the National Elite Foundation, Fatemeh has demonstrated exceptional academic prowess and a commitment to pushing the boundaries of knowledge in her field.
Publications Top Note :
A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering
- Published in Biomedical Signal Processing and Control in 2024.