About me:
PhD in Physics with deep expertise in Bayesian inference, real-time estimation, and mathematical modeling, applied across domains such as electromechanical systems, robotics, and biomedical data analysis.
Embedded Files
What I have been working on the past 2 years:
- Software Engineer – Algorithm Specialist at Guidance Marine. Developing sensor fusion algorithms, with a focus on real time embedded software development.
- Senior Battery Controls Engineer at Brill Power. Developing novel techniques for the estimation of batteries' state of charge, state of health, state of energy, and state of power via real-time estimation algorithms and multi-objective optimisation tools.
- Estimation theory and decision making algorithms
- My YT channel
My PhD thesis aimed to develop a unified framework for understanding and controlling complex systems by integrating concepts from information geometry, stochastic thermodynamics, and control engineering. From information geometry, I established a metric structure to quantify the variability and sensitivity of complex systems subject to randomness. From control engineering, I incorporated the notion of feedback to design suitable control algorithms capable of organizing and stabilizing system dynamics. Since efficiency is fundamentally a thermodynamic concept, stochastic thermodynamics was used to analyze the regulator’s influence on entropy production and its relation to Helmholtz free energy. Moreover, the combined use of information geometry and stochastic thermodynamics provided tools to detect abrupt transitions and identify correlations among variables in stochastic dynamical systems.
My Master’s thesis aimed to develop a theoretical and practical framework for modeling and controlling fractional-order systems within the context of linear control theory. From fractional calculus, I introduced operators capable of describing system dynamics with memory and hereditary effects, extending the classical notion of differentiation to non-integer orders. From linear systems theory, I recovered stability and frequency-domain analysis tools to characterize the behavior of fractional-order transfer functions and to construct equivalent representations for infinite-dimensional systems. From control engineering, I designed and tuned fractional-order controllers, such as PIλ and PDμ, demonstrating their ability to improve robustness, noise filtering, and performance compared to conventional integer-order schemes. Moreover, the integration of fractional modeling and control revealed new insights into the organization of dynamic behavior across scales and provided a foundation for implementing fractional controllers in practical systems, such as power converters.
My Podcast (in Spanish)
My Podcast (in Spanish)
Google Sites
Report abuse