Maryam Yashtini

Assistant Professor, Department of Mathematics and Statistics, Georgetown University

Research Expertise

Numerical Optimization
Scientific Computing
Imaging
Computational Mathematics
Applied Mathematics
Control and Optimization
Management Science and Operations Research
Numerical Analysis
Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition
Media Technology
Signal Processing

Legacy Map

Full View

Publications

Bregman operator splitting with variable stepsize for total variation image reconstruction
Computational Optimization and Applications
2012
A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting
SIAM Journal on Imaging Sciences
2016
An Alternating Direction Approximate Newton Algorithm for Ill-Conditioned Inverse Problems with Application to Parallel MRI
Journal of the Operations Research Society of China
2015
Solving complementarity and variational inequalities problems using neural networks
Applied Mathematics and Computation
2007
A discrete-time neural network for solving nonlinear convex problems with hybrid constraints
Applied Mathematics and Computation
2008
An $\mathcal O(1/{k})$ Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm
SIAM Journal on Numerical Analysis
2016
Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network
Neurocomputing
2010
Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization
Journal of Global Optimization
2022
Alternating Direction Method of Multiplier for Euler’s Elastica-Based Denoising
Lecture Notes in Computer Science
2015
On the global convergence rate of the gradient descent method for functions with Hölder continuous gradients
Optimization Letters
2015
Multi-block Nonconvex Nonsmooth Proximal ADMM: Convergence and Rates Under Kurdyka–Łojasiewicz Property
Journal of Optimization Theory and Applications
2021
Partially parallel MR image reconstruction using sensitivity encoding
2012 19th IEEE International Conference on Image Processing
2012
Efficient alternating minimization methods for variational edge-weighted colorization models
Advances in Computational Mathematics
2019
Euler’s elastica-based algorithm for Parallel MRI reconstruction using SENSitivity Encoding
Optimization Letters
2019
A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications
Advances in Neural Networks – ISNN 2009
2009
Counting Objects by Diffused Index: Geometry-free and training-free approach
Journal of Visual Communication and Image Representation
2022
Join Maryam on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts

Connect with researchers and scientists like Maryam Yashtini on NotedSource to help your company with innovation, research, R&D, L&D, and more.