Maryam Yashtini

Dr. Maryam Yashtini is an Assistant Professor at Georgetown University's Department of Mathematics and Statistics (College of Arts and Sciences). She holds a Ph.D. in Applied Mathematics and dual M.S. degrees in Mathematics and Industrial & Systems Engineering from the University of Florida. Her research focuses on optimization, computational mathematics, and machine learning applications in medical imaging and computer vision. Notable contributions include algorithms for MRI image quality improvement and AI-generated image detection.

Education:

• Ph.D., Applied Mathematics, University of Florida
• M.S., Industrial Engineering, University of Florida
• M.S., Applied Mathematics, University of Florida

Research interests span optimization theory, image processing, and interdisciplinary applications in healthcare. Her work bridges theoretical mathematics with practical challenges in medical imaging, such as pneumonia detection via CNN models and texture-based AI image analysis. Over 20 peer-reviewed publications appear in top journals like the Journal of Global Optimization and SIAM Journal on Imaging Sciences.

Scientific Honors:

• Best Paper Award, Journal of the Operations Research Society of China
• Best Presentation Award, International Congress of Mathematicians

Her research has been featured in Georgetown College News. Current projects emphasize AI-driven medical diagnostics and algorithmic advancements in nonconvex optimization. She actively mentors students and promotes interdisciplinary collaboration to address real-world problems.