Maryam Yashtini is a Tenure-Track Assistant Professor in the Department of Mathematics and Statistics at Georgetown University.
Prior to joining the faculty at Georgetown, she was an NSF IMPACT Postdoctoral Fellow at Georgia Institute of Technology. She received a PhD Degree in Computational Mathematics and two Master's Degrees one in Applied Mathematics and one in Industrial Systems and Engineering from University of Florida. Maryam’s areas of expertise are computational optimization and scientific computing. Her research contributes fast, accurate, and practical optimization algorithms to solve large-scale interdisciplinary problems arising in science and engineering including medical image reconstruction, image denoising, image deblurring, image inpainting, and image colorization. The optimization models of these problems are often non-differentiable, non-convex, ill-conditioned, and/or highly nonlinear. Maryam validates her algorithms by numerical implementation and rigorous theoretical analysis. In her spare time, Maryam enjoys cooking, painting, hiking, and meditation.
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