update Alan's profile

Author: alandefreitas

images/people/alan.jpg

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-member-name: Alan Freitas
+member-name: Alan de Freitas
 id: alan
-title: Alan Freitas | The C++ Alliance
+title: Alan de Freitas | The C++ Alliance
 position: Staff Engineer
 email: alandefreitas@gmail.com
 github: https://github.com/alandefreitas
+site: https://alandefreitas.github.io/alandefreitas/
 image: /images/people/alan.jpg
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-<p>Alan Freitas has been developing open-source libraries and tools for the C++ ecosystem, particularly focused on foundational scientific computing. His most well-known library is Matplot++ and some of his recent research involves data structures for Pareto fronts and symbolic evolutionary algorithms. Alan has a Ph.D. in Electrical Engineering, in the field of Computational Intelligence. He also has a M.S. and B.S. in Computer Science. Previously he was a researcher at the Rolls-Royce Control & Systems University Technology Centre and a Marie Curie researcher within the Seventh Framework Program of the European Commission, when he developed the method of Aggregation Trees for the design of aircraft engines. He has taught several introductory and advanced programming courses in C++ at undergraduate and graduate programs, and science methods at graduate programs. When not programming he enjoys cooking and playing the guitar.</p>
+<p>Alan de Freitas is one of the C++ Alliance’s earliest members and leads work that improves everyday tooling for C++ developers. He served as project team lead for <a href="https://www.mrdocs.com" target="_blank" rel="noopener">MrDocs</a>, helped bring <a href="https://github.com/boostorg/url" target="_blank" rel="noopener">Boost.URL</a> into the library collection, and created the widely used <a href="https://github.com/alandefreitas/cpp-actions" target="_blank" rel="noopener">cpp-actions</a> GitHub workflow suite. He is also the author of <a href="https://github.com/alandefreitas/matplotplusplus" target="_blank" rel="noopener">Matplot++</a>, a popular plotting library that continues to support scientific computing teams.</p>
+<p>He has built deep expertise in multi-objective optimization, data structures for Pareto fronts, and symbolic evolutionary algorithms—skills that now support modern <em>Machine Learning</em> (ML) and <em>Artificial Intelligence</em> (AI) projects. Alan holds a Ph.D. in Electrical Engineering focused on Computational Intelligence (also an early pillar of ML and AI) and both M.S. and B.S. degrees in Computer Science. His doctoral work led to the peer-reviewed <a href="https://www.sciencedirect.com/science/article/abs/pii/S0020025514011347" target="_blank" rel="noopener">Aggregation Trees</a> study in Elsevier’s <a href="https://www.sciencedirect.com/journal/information-sciences" target="_blank" rel="noopener"><em>Information Sciences</em></a>. Later, as a professor, he published a <a href="https://www.sciencedirect.com/science/article/abs/pii/S2210650221000766?via%3Dihub" target="_blank" rel="noopener">Pareto-front data structures</a> paper in <a href="https://www.journals.elsevier.com/swarm-and-evolutionary-computation" target="_blank" rel="noopener"><em>Swarm and Evolutionary Computation</em></a>. Both journals sit among the very top titles in computer science and mathematics.</p>
+<p>Before joining the Alliance he worked on aircraft engine design at the <a href="https://www.rolls-royce.com/about/our-research/research-and-university.aspx" target="_blank" rel="noopener">Rolls-Royce Control & Systems UTC</a> and as a <a href="https://marie-sklodowska-curie-actions.ec.europa.eu/" target="_blank" rel="noopener">Marie Curie researcher</a> within the European Union’s (EU) <a href="https://ec.europa.eu/research/fp7/index_en.cfm" target="_blank" rel="noopener">Seventh Framework Programme</a>, delivering applied optimization methods that moved from research to production engineering. During his faculty years he published more than 50 peer-reviewed papers, supervised M.S. and Ph.D. work on the same optimization themes, led graduate research groups, taught C++ from introductory through doctoral programs, and promoted reproducible science in every project.</p>
+<p>Alan enjoys applying his optimization expertise to the arts by experimenting with AI-supported, multi-objective techniques for music composition—a line of inquiry that also shaped his Ph.D. thesis—and he brings the same curiosity to cooking and playing the guitar when he steps away from the keyboard.</p>