Dr. Cristian Jimenez Romero is an experienced computer scientist and roboticist with over fifteen years of expertise in designing and implementing software systems across various industries. He earned his Ph.D. in Computer Science at the Centre for Complex Systems and Design at the Open University in the United Kingdom, where he focused on developing a novel neuronal architecture for controlling autonomous agents and robots using spiking neurons.
Currently, Cristian works as a Postdoctoral Fellow funded by Maria Sklodowska Curie/EUTOPIA funds at CY Cergy Paris Université, hosted at the Neurocybernetics team of the ETIS Laboratory. He is developing his proposed project involving Hybrid Neural Networks, aiming to improve the continuous learning capabilities of autonomous agents and robots by combining Artificial and Spiking Neural Networks.
Previously, he worked on neuroscience research at the Juelich Supercomputing Centre – Forschungszentrum Jülich in Germany as a Scientific Software Developer and Postdoctoral Researcher. During this time, he was involved in the Neurorobotics part of the Human Brain Project, utilizing bio-inspired models to simulate navigation behaviors in mobile robotic platforms.
Before transitioning to academia, Cristian gained valuable industry experience as a Software Design Engineer at Nokia Siemens Networks.
Throughout his career, Cristian has remained dedicated to advancing technology in fields such as artificial intelligence, robotics, and complex systems.
- Spiking Neural Networks
- Neural Plasticity
- Computational Neuroscience
- Swarm intelligence
- Multi-agent modeling
- Deep neural networks
- Reservoir Computing
- Autonomous Navigation
- Autonomous robots
Hybrid Neural Networks: combining Artificial and Spiking Neural networks to enhance life-long continuous learning in autonomous agents and robots.