Bin Shi

Bin Shi is a Research Fellow at Eindhoven University of Technology's Department of Electrical Engineering, focusing on photonics, optical communication, and neuromorphic computing. He is a core member of the ECO Research Centre for Integrated Nanophotonics (2014–2025), contributing to next-generation optical networks and photonic integrated circuits.

His research expertise includes photonic integrated circuits (PICs), semiconductor optical amplifiers (SOAs), and neural network implementations using optical systems. Key projects involve developing low-cost metro-access networks using SOA-based optical add-drop multiplexer (OADM) nodes and exploring photonic computing architectures for deep learning applications.

Recent work emphasizes non-invasive characterization techniques for cascaded SOAs, software-defined electro-optical neural networks, and photonic beamforming systems. He has contributed to over 44 research outputs since 2018, with notable publications in Optics Letters and Optics Express.

Shi collaborates internationally on topics like photonic neural networks and nanophotonic devices. He teaches the course 'Brain-inspired optical computation' and has been featured in media for his work on light-based neural networks.