Federico Corradi
Department / Institute
Group
RESEARCH PROFILE
Dr. Federico Corradi is an Assistant Professor in the Electrical Engineering Department. His research activities are in Neuromorphic Computing and Engineering and span from the development of efficient models of computation to novel microelectronic architectures, with CMOS and emerging technologies, for both efficient deep learning and brain-inspired algorithms. His long-term research goal is to understand the principles of computation in natural neural systems and apply those for the development of a new generation of energy-efficient sensing and computing technologies. His research outputs find use in several application domains as robotics, machine vision, temporal signal processing, and biomedical signal analysis.
I take inspiration from neural systems' extraordinary information processing abilities to design more robust, adaptable, and energy-efficient microchips.
ACADEMIC BACKGROUND
Dr. Federico Corradi is leading the Neuromorphic Edge Computing Systems Lab.
Dr. Corradi received a Ph.D. degree from the University of Zurich in Neuroinformatics and an international Ph.D. from the ETH Neuroscience Centre Zurich in 2015. He was a Postgraduate at the institute of Neuroinformatics in 2018. From 2015 to 2018, he worked in the Institute of Neuroinformatics' spin-off company Inilabs, developing event-based cameras and neuromorphic processors. From 2018 to 2022, he was at IMEC, the Netherlands, where he started a group focusing on neuromorphic ICs design activities. Since 2022 he is at TU/e while he keeps strong ties with startups and companies.
He is an active review editor of Frontiers in Neuromorphic Engineering, IEEE, IOP Science, and other international journals. In addition, he currently serves as a technical program committee member of several machine learning and neuromorphic symposiums and conferences (ICTOPEN, AICAS, AIAI, ICONS, NEWCAS, DSD, EUROMICRO).
Key Publications
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Bojian Yin,Federico Corradi,Sander M. Bohté
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
Nature Machine Intelligence (2023) -
Jan Stuijt,Manolis Sifalakis,Amirreza Yousefzadeh,Federico Corradi
μBrain
Frontiers in Neuroscience (2021) -
Bojian Yin,Federico Corradi,Sander M. Bohté
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Nature Machine Intelligence (2021) -
Ning Qiao,Hesham Mostafa,Federico Corradi,Marc Osswald,Fabio Stefanini,Dora Sumislawska,Giacomo Indiveri
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
Frontiers in Neuroscience (2015) -
Federico Corradi,Giacomo Indiveri
A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces
IEEE Transactions on Biomedical Circuits and Systems (2015)
Current Educational Activities
Ancillary Activities
- Consultancy to private companies and large organizations., Federico Corradi