Mathematical Data Science Lab

Data science is a vibrant discipline that spans areas of Engineering, Computer Science, Statistics, and Mathematics. The techniques developed can then be applied to almost all disciplines that require or desire to make data-informed decisions. While there is an abundance of techniques for processing and analyzing data, there are many types of experiments and resulting data that still need new techniques to be explored. The Mathematical Data Sciences Lab (MDSL) explores new data processing and mathematical and statistical analysis techniques that are mathematically rigorous and applicable to real-world problems.

Output

Mathematical Data Science Lab
Conference Presentations
2025
Counting and Combinatorics

Mathematical Data Science Lab
Conference Presentations
2025
Bayesian Monitoring of a Pandemic: A Case Study

Mathematical Data Science Lab
Conference Presentations
2025
Bayesian Inference for a Pandemic

Mathematical Data Science Lab
Conference Presentations
2025
A Support Vector Machine Based Artificial Intelligence Technique Using Genetic Algorithms to Screen Metabolites Associated with Heart Disease in the Qatari Population

Mathematical Data Science Lab
Conference Presentations
2025
Statistical Inference on Fractional Partial Differential Equations

Mathematical Data Science Lab
Conference Presentations
2025
Symmetry Analysis of the geodesic equations of the canonical connection: The n-dimensional case with r-dimensional abelian nilradical

Mathematical Data Science Lab
Conference Presentations
2025
The origin of Lie symmetry methods for Differential Equations and the rise of abstract Lie algebras

Mathematical Data Science Lab
Journal Articles
2023
Incorporating Interventions to an Extended SEIRD Model with Vaccination: Application to COVID-19 in Qatar, Journal of Data Science

The COVID-19 outbreak of 2020 has required many governments to develop and adopt mathematical-statistical models of the pandemic for policy and planning purposes.

Mathematical Data Science Lab
Journal Articles
2022
Model validation of a single degree-of-freedom oscillator: a case study. STATS

This paper investigates a validation process in order to assess the predictive capabilities of a single degree-of-freedom oscillator.

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We collaborate with researchers, government entities, profit and non-profit organizations, and educational institutions that share that vision. We actively seek partnerships and value synergetic contributions to our creative community.