Bio
Lorenzo De Marinis has worked on photonic neuromorphic computing since the end of his MS. His main research activity concerns the conceptualization, design, and testing of novel photonic integrated circuits (PIC) with various technologies (SOI, InP, LNOI, SiN). With a background in electronic engineering, he also manages the electro-optic codesign of photonic systems and sub-systems. During his Ph.D., he developed a background in analog neuromorphic processors, machine learning, AI for optical communications, deployment of deep learning models in resource-constrained scenarios, and AI for in-networking applications. Currently, he is working as an assistant professor developing PICs for quantum random number generation, quantum computing and neuromorphic processing, under the Italian National Quantum Science and Technology Institute.
Ricerca
- Conceptualization, design and testing of photonic integrated circuit for quantum and neuromorphic computing
- Photonic analog processing
- Photonic-electronic codesign of integrated circuits
- Quantum random number generators
- Machine learning for optical communications
- Machine learning for networking scenarios