Welcome to the Applied Math and Computer Science Laboratory (AML-CS) at Universidad del Norte in Barranquilla, Colombia. The group was founded in Apr, 2017. AML-CS is a space that brings together people from different fields of science. We are highly motivated to solve real-life problems via scientific computing, mathematics, and statistics. Our students have the chance to face issues such as those found in Data Assimilation, Inverse Problems, Applied Statistics, and Numerical Optimization. For instance, Data-Driven models are of primary interest for us; it is fascinating to see what data can tell us about the underlying (physical) process. In this manner, we can forecast based on our statistical knowledge of the process. Also, we employ numerical models to predict physical phenomena and to understand the world where we live. In general, we are open to solve problems in the following fields:

• Data Assimilation Methods.
• Inverse Problems and Parameter Estimation.
• Combinatorial Optimization.
• Numerical Optimization.
• Bayesian Inference.
• High Performance Computing.

Feel free to contact me if you want to be part of my group.

Elias D. Nino-Ruiz, Ph.D, Director. (aml-cs@uninorte.edu.co)

Last resources

_{Error bounds for solving linear systems in the preconditioned Crank-Nicolson scheme. The black line denotes the boundary between convergence and divergence in proposal steps. Nino-Ruiz, E. D. A numerical method for solving linear systems in the preconditioned Crank–Nicolson algorithm. Applied Mathematics Letters, Eslevier. (2020). https://doi.org/10.1016/j.aml.2020.106254}

_{WRF simulations of hurricane Iota.}

_{Worldwide temperatures levels at surface.}

_{Urban Analytics: car accidents in Barranquilla.}

_{Estimation of PM2.5 levels via Markovian models.}

_{Levels of PM2.5 per interval in Barranquilla, Colombia.}

_{Open Crime Estimation: probability surface for different regions given a user profile.}

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