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(pic from IEEE)
Our laboratory at the Faculty of Engineering at Sapienza University of Rome can be seen as the realization of a vision planted in the 1980s by the scientist Giuseppe Martinelli, who taught in this university.
Prof. Giuseppe Martinelli has had an illustrious career at Sapienza University of Rome, distinguished by his contributions to both electrical engineering and machine learning. His research output includes over 200 publications, with a significant focus on neural networks, fuzzy systems and quantum learning. Notable achievements in neural networks include pioneering work on quantum neural architectures and self-synchronizing sensor networks. Prof. Martinelli's work is highly cited, demonstrating his profound impact on his field.
More on his bio here.
He mentored several professors currently serving at the Faculty of Information Engineering, Informatics, and Statistics, including Prof. Antonello Rizzi, the current head of CIPAR LABS.
Prof. Martinelli is the author of two significant collections of lecture notes, regularly published, which highlight his pioneering work in the 1980s on data and signal processing through circuit theory and Artificial Neural Networks.
For those times, although Artificial Neural Networks have a long history, Prof. Martinelli's approach was innovative as it integrated biological models with circuit models, addressing the topics with strong mathematical rigor.
Our research approach has its roots in the pioneering efforts made during those exciting years, when the available computing hardware was not remotely comparable to today's powerful workstations.
Prof. Martinelli has also been highly active in the fields of electrical engineering and circuit theory, authoring textbooks that are still used in degree courses today.
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