Jorge Cruz-duarte
Postdoctoral Researcher at IEEE Region 9
Lille, Hauts-de-France
Summary
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Senior🎓
Top SchoolJorge M. Cruz-Duarte is a Postdoctoral Researcher at Inria’s Equipe de Recherche Bonus in Lille with a decade of experience bridging machine learning, metaheuristics, and applied thermodynamics. Previously a Research Professor at Tecnológico de Monterrey, he led development of CUSTOMHyS, a Python framework that automatically generates metaheuristic algorithms using ML-driven hyper-heuristics. An IEEE Senior Member and chair of the society’s task force on automated algorithm design, he combines rigorous academic research (PhD in Electrical Engineering) with practical tool-building and international collaborations, including work with the Chinese Academy of Sciences. He reviews for leading journals in soft computing and evolution, and his profile reflects a rare mix of theoretical depth in fractional calculus and hands-on software engineering for optimization.
10 years of coding experience
2 years of employment as a software developer
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Universidad Industrial de SantanderDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Universidad de GuanajuatoMaster of Digital Project Management Project Management, Master of Digital Project Management Project Management at Inesdi Business Techschool
Spanish, English, French
Stackoverflow
79reputation
237kreached
4answers
1question
Github Skills (30)
metaheuristics10
building-blocks10
serve10
simulated-annealing9
hyper9
optimization9
python8
pandas8
manipulation7
frame7
data-analysis7
data-structures7
derivative6
3d6
math6
Programming languages (2)
Github contributions (5)
jcrvz/customhys
Sep 2019 - May 2022
Customising optimisation metaheuristics via hyper-heuristic search (CUSTOMHyS). This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics. Such an approach is powered by a strategy based on Simulated Annealing. Also, several search operators serve as building blocks for tailoring metaheuristics. They were extracted from ten well-known metaheuristics in the literature.
Contributions:11 reviews, 201 commits, 6 PRs in 2 years 8 months
heuristicpythonmetaheuristic-frameworkproblemsmetaheuristic-optimisation
jcrvz/customhys-qt
May 2023 - Jan 2025
GUI for customhys
Contributions:1 PR, 31 pushes in 1 year 8 months
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