Full-wave em-wave and radar simulation and inversion in cpp.

pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.

MATLAB implementation of "Solving Fourier Phase Retrieval with a Reference Image as a Sequence of Linear Inverse Problems" paper accepted at IEEE ICIP 2021.

Inverse Problems with application mainly to processing seismic data

Julia code to fit mechanistic-statistical models w/ Bayes and MCMC

Solving multiphysics inverse problems with Scientific (physics-informed) Machine Learning

Deep Denoising by Quantum Interactive Patches. A deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics.

Ph.D. research on transdermal alcohol content

Esse projeto tem o objetivo de disponibilizar para os alunos de pós graduação do IPRJ uma biblioteca de métodos numéricos nas seguintes linguagens de programação: Octave/Matlab, Scilab e C/C++. Contribuições são bens vindas de todos, mande um email para [email protected]

Solving the Beurling LASSO using Lasserre hierarchies

MCMC for Uncertainty Quantification

Tarea 1 de Problemas Inversos y de Control de EDP (MA5306)

The code for the IEEE ICIP paper "Deep unrolling Shrinkage Network for Dynamic MR imaging". All required code and data are given. Just download and run the program directly!

Direct and Inverse Solver for Kinetic Capillary Electrophoresis (KCE)

In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

Inversion (solution of the inverse problem) of macroseismic data. Инверсия (решение обратной задачи) макросейсемических данных

The project is an implementation of the paper Learning for Control: An Inverse Optimization Approach, co-authored by Syed Adnan Akhtar, Arman Sharifi Kolarijani, and Peyman Mohajerin Esfahani at TU Delft, Netherlands.

Implementation of defiltering techniques for blurry and noisy images

Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'