Senior Researcher at Royal Military Academy, Belgium
Brussels, Brussels-Capital, Belgium
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Summary
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Senior
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Evandro Bernardes is a robotics-focused researcher and engineer with 10 years of experience spanning academic research and applied development, currently a Senior Researcher at the Royal Military Academy in Brussels. He holds a PhD in Robotics from Aix-Marseille University and dual engineering degrees in robotics (ENSTA Bretagne) and electrical engineering (UEM), bringing strong foundations in dynamics, control and signal processing. His work blends hands-on algorithm development—illustrated by contributions to quaternion support in the widely used SymPy computer algebra system—with experimental biorobotics and robot perception from ANR-funded projects. Comfortable moving between code, simulation and lab experiments, he has a track record of refactoring, documenting and optimizing complex mathematical modules as well as implementing advanced filtering methods during internships. Fluent in international research environments, he combines Brazilian and French training with postdoctoral experience in Belgium, making him adept at bridging multidisciplinary teams and turning theoretical models into reproducible implementations.
10 years of coding experience
3 years of employment as a software developer
Master em pesquisa Sistemas dinâmicos e sinais, Master em pesquisa Sistemas dinâmicos e sinais at Université d'Angers
Undergratuate degree on robotics engineering SPID - Robotics, Undergratuate degree on robotics engineering SPID - Robotics at ENSTA
Bachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at Universidade Estadual de Maringá
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Aix-Marseille University
Contributions:54 reviews, 111 commits, 25 PRs in 1 month
Contributions summary:Evandro's primary contributions involved implementing and modifying quaternion-related functions within the `sympy/sympy` repository. These changes include the implementation of functions like `to_euler` and `from_euler`, which facilitate conversions between quaternions and Euler angles. The user also refactored existing code, added documentation and examples, and introduced various optimizations and simplifications within the quaternion algebra module. These changes resulted in enhanced functionality and improved accuracy of the quaternion module.
Contributions:27 commits, 22 pushes, 1 branch in 4 months
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Evandro Bernardes - Senior Researcher at Royal Military Academy, Belgium