Giulia D'Angelo
I develop brain-inspired algorithms optimized for neuromorphic hardware, enabling real-time
robotic applications with microsecond latency and milliwatt power consumption.
Neuroinspired Perception and Cognition (NPC) Lab
Assistant Professor
Marie Skłodowska-Curie Fellow
Czech Technical University in Prague
Hi. I'm Giulia, nice to meet you.
"The brain is imagination, and that was exciting to me; I wanted to build a chip that could imagine something" Misha Mahowald
I hold a Bachelor's Degree in Biomedical Engineering from the University of Genoa, followed by a Master's Degree in Neuroengineering with honors. During my Master's at King's College London, I developed a neuromorphic system for the egocentric representation of peripersonal visual space. This experience laid the foundation for my understanding of bioinspired intelligent systems.
I completed my PhD in neuromorphic algorithms at The University of Manchester, where I received the President's Doctoral Scholar Award, the highest accolade bestowed upon postgraduate members for academic excellence and leadership potential. During my doctoral studies, I worked in collaboration with the Event-Driven Perception for Robotics Laboratory at the Italian Institute of Technology, proposing a biologically plausible model for event-driven, saliency-based visual attention. The robotic system includes three channels of information: intensity, depth and motion, showing great capabilities in terms of latency (~16ms response) and reduced computational loads. I gained expertise in robotics, event-driven sensing and expanded my knowledge of neuromorphic algorithms through hands-on work with platforms such as SpiNNaker, Speck, and Loihi.
Following my PhD, I was awarded the Marie Skłodowska-Curie Postdoctoral Fellowship hosted at the Czech Technical University in Prague, during which I explored sensorimotor contingency theories in neuromorphic active vision through the ENDEAVOR project (Event-driven Active Vision for Object Perception). After completing the fellowship, I joined the Czech Technical University in Prague as an Assistant Professor, where I now develop neuromorphic algorithms for active perception.
My current research bridges bio-inspired software and neuromorphic hardware to enable robust, efficient perception and control for low-power, low-latency autonomous systems. My ongoing work focuses on demonstrating the suitability of neuromorphic sensing and computing for real-time robotics applications, laying the groundwork for active exploration; emphasizing embodiment and the importance of interaction with the environment for developing adaptable and robust autonomous agents.
