A Genetic Algorithm for Multiobjective Hard Scheduling Optimization. - Elias D. Niño; Carlos J. Ardila; Alfredo J. Perez; Yezid Donoso (Int. J. Comput. Commun. Control, 2010)

Load Balancing Optimization Using the Algorithm DEPRO in a Distributed Environment. - Elias D. Niño; Carolina Tamara; Karen Gomez (3PGCIC, 2012)

EMODS: A Novel Evolutionary Metaheuristic based in the Automata Theory for the Multiobjective Optimization of Combinatorials Problems. - Elias David Niño Ruiz; Anangelica Isabel Chinchilla Camargo (ICORES, 2012)

Evolutionary Algorithm based on the Automata Theory for the Multi-objective Optimization of Combinatorial Problems. - Elias David Niño Ruiz (Int. J. Comput. Commun. Control, 2012)

An Effcient Implementation of the Ensemble Kalman Filter Based on Iterative Sherman Morrison Formula. - Elias D. Niño; Adrian Sandu; Jeffrey L. Anderson (ICCS, 2012)

A Novel, Evolutionary, Simulated Annealing inspired Algorithm for the Multi-Objective Optimization of Combinatorial Problems. - Elias David Niño Ruiz; Carlos J. Ardila; Anangelica Isabel Chinchilla Camargo (ICCS, 2012)

Automata Theory based Approach to the Join Ordering Problem in Relational Database Systems. - Miguel E. Rodríguez; Daladier Jabba; Elias D. Niño; Carlos J. Ardila; Yi-Cheng Tu (DATA, 2013)

Evolutionary Algorithm based on simulated annealing for the multi-objective optimization of combinatorial problems. - Elias David Niño Ruiz; Henry Nieto Parra; Anangelica Isabel Chinchilla Camargo (Int. J. Comb. Optim. Probl. Informatics, 2013)

Variational Data Assimilation Based on Derivative-Free Optimization. - Elias D. Niño; Adrian Sandu (DyDESS, 2014)

PARMODS: A Parallel Framework for MODS Metaheuristics. - Elias David Niño Ruiz; Stella Miranda; Carlos J. Ardila; Wilson Nieto (Int. J. Comput. Commun. Control, 2014)

A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (ScalA@SC, 2015)

An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula. - Elias David Niño Ruiz; Adrian Sandu; Jeffrey L. Anderson (Stat. Comput., 2015)

A derivative-free trust region framework for variational data assimilation. - Elias David Niño Ruiz; Adrian Sandu (J. Comput. Appl. Math., 2016)

A Surrogate Model Based On Mixtures Of Taylor Expansions For Trust Region Based Methods. - Elias David Niño Ruiz; Carlos J. Ardila; Alfonso Mancilla; Jesús Estrada (ICCS, 2017)

A Posterior Ensemble Kalman Filter Based On A Modified Cholesky Decomposition. - Elias David Niño Ruiz; Alfonso Mancilla; Juan C. Calabria (ICCS, 2017)

Robust Data Assimilation Using L1 and Huber Norms. - Vishwas Rao; Adrian Sandu; Michael Ng 001; Elias David Niño Ruiz (SIAM J. Sci. Comput., 2017)

Implicit surrogate models for trust region based methods. - Elias David Niño Ruiz (J. Comput. Sci., 2018)

An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (SIAM J. Sci. Comput., 2018)

Local search methods for the solution of implicit inverse problems. - Elias David Niño Ruiz; Carlos J. Ardila; Rafael Capacho (Soft Comput., 2018)

Container-based architecture for optimal face-recognition tasks in edge computing. - Nadim Tellez; Miguel Jimeno; Augusto Salazar; Elias David Niño Ruiz (SEC, 2019)

A reduced-space line-search method for unconstrained optimization via random descent directions. - Elias David Niño Ruiz; Carlos J. Ardila; Jesús Estrada; Rafael Capacho (Appl. Math. Comput., 2019)

Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation. - Elias David Niño Ruiz; Xin-She Yang 001 (Appl. Soft Comput., 2019)

Non-linear data assimilation via trust region optimization. - Elias David Niño Ruiz (Comput. Appl. Math., 2019)

Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation. - Elias David Niño Ruiz; Adrian Sandu (Clust. Comput., 2019)

A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (J. Comput. Sci., 2019)

A Tabu Search implementation for adaptive localization in ensemble-based methods. - Elias David Niño Ruiz; Luis E. Morales-Retat (Soft Comput., 2019)

A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation. - Elias David Niño Ruiz (ICCS (5), 2020)

A numerical method for solving linear systems in the preconditioned Crank-Nicolson algorithm. - Elias David Niño Ruiz (Appl. Math. Lett., 2020)

A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. - Andrey A. Popov; Adrian Sandu; Elias David Niño Ruiz; Geir Evensen (CoRR, 2020)

A Maximum Likelihood Ensemble Filter via a Modified Cholesky Decomposition for Non-Gaussian Data Assimilation. - Elias David Niño Ruiz; Alfonso Mancilla; Santiago Lopez-Restrepo; Olga Lucía Quintero Montoya (Sensors, 2020)

Data-Driven Methods for Weather Forecast. - Elias David Niño Ruiz; Felipe J. Acevedo García (ICCS (4), 2021)

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios. - Pedro David Acevedo 001; Daladier Jabba; Paul Sanmartin; Sebastián Valle; Elias David Niño Ruiz (IEEE Access, 2021)

An ensemble Kalman filter implementation based on the Ledoit and Wolf covariance matrix estimator. - Elias David Niño Ruiz; Luis Guzman; Daladier Jabba (J. Comput. Appl. Math., 2021)

TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilation. - Elias David Niño Ruiz; Sebastian Racedo Valbuena (ICCS (4), 2022)

AMLCS-DA: A data assimilation package in Python for Atmospheric General Circulation Models. - Elias David Niño Ruiz; Randy Consuegra (SoftwareX, 2023)