Research Interests :

Numerical Methods, Data Assimilation, Inverse Problems and Non-Linear Optimization.

Languages and Frameworks:

Java, Kotlin, Python, Matlab, NodeJs, Apache Spark

Selected Publications:

1. Nino-Ruiz, E. D., Calabria-Sarmiento, J. C., Guzman-Reyes, L. G., & Henao, A. A Four Dimensional Variational Data Assimilation Framework for Wind Energy Potential Estimation. Atmosphere. 2020-02 | journal-article. DOI: 10.3390/atmos11020167

2. ED Nino-Ruiz, LG Guzman-Reyes, R Beltran-Arrieta. "An adjoint-free four-dimensional variational data assimilation method via a modified Cholesky decomposition and an iterative Woodbury matrix formula'' . Nonlinear Dynamics , 1-17. (2019). DOI: 10.1007/s11071-019-05411-w

3. Guzman, L. G, Ruiz, E. N., Ardila, C. J., Jabba, D., and Nieto, W. "A novel framework for the parallel solution of combinatorial problems implementing tabu search and simulated annealing algorithms''. 2016 6th International Conference on Computers Communications and Control (ICCCC)}, IEEE. 259-263. (2016).

International Conferences

1. 1st International Workshop on Data Assimilation for Decision making. Medellín-Barranquilla Sept, 2019.

Research Experiences:

SFB 1294 Data assimilation Lab at Universität Potsdam. June/July 2019.

Applied Math Department at Technische Universiteit Delft. July/August 2019.