Biography
I am an Associate Professor at URJC and member of the CAPO research group. My current research focuses on high-speed low-power digital design in FPGAs for robotics and space applications.
I received my B.Sc. in Industrial Engineering and my M.Sc. in Robotics from UC3M in 2012 and 2015, respectively. I obtained my Ph.D. (with Honors) in Industrial Engineering from Universidad Nebrija in 2018.
From 2013 to 2014, I worked as a Project Engineer at Zeus Creative Technologies S.L., where I developed hardware and software solutions for 3D scanning and printing systems based on computer vision. I later joined Universidad Nebrija as a professor and researcher in the ARIES Research Center from 2015 to 2021.
During that time, I actively contributed to research projects in collaboration with the Spanish National Institute for Aerospace Technology (INTA) and the European Space Agency (ESA). These projects involved the development of fault-tolerance techniques for multi-core systems and RISC-V-based processors for space applications, in partnership with Frontgrade Gaisler and QinetiQ Space NV.
At URJC, I teach courses in robotics, analog/digital electronics, and FPGA-based systems.
Featured Publications
- Ramírez, I., Garcia-Espinosa, F. J., Concha, D., & Aranda, L. A. (2025). “LLNN: A Scalable LUT-Based Logic Neural Network Architecture for FPGAs.” IEEE Transactions on Circuits and Systems I: Regular Papers. PDF
- Ramírez, I., Garcia-Espinosa, F. J., Concha, D., & Aranda, L. A. (2024). “Logic Neural Networks for Efficient FPGA Implementation.” IEEE Transactions on Circuits and Systems I: Regular Papers. PDF
- Aranda, L. A., Wessman, N. J., Santos, L., Sánchez-Macián, A., Andersson, J., Weigand, R., & Maestro, J. A. (2020). “Analysis of the critical bits of a RISC-V processor implemented in an SRAM-based FPGA for space applications.” Electronics. PDF
- Aranda, L. A., Sánchez-Macián, A., & Maestro, J. A. (2019). “ACME: A tool to improve configuration memory fault injection in SRAM-based FPGAs.” IEEE Access. PDF
- Aranda, L. A., Reviriego, P., & Maestro, J. A. (2020). “Toward a fault-tolerant star tracker for small satellite applications.” IEEE Transactions on Aerospace and Electronic Systems PDF
People
Below are some of the great people I regularly collaborate with:
