Leo Buron

Leo Buron, M.Sc., is a Researcher and doctoral student at the Intelligent Embedded Systems Lab, part of the School of Computer Science at the University of Duisburg-Essen. He holds a Master's degree in Electrical Engineering and Information Technology with a focus on embedded systems.

• University of Duisburg-Essen (Master's in Electrical Engineering and Information Technology)
• Hochschule Düsseldorf (Dual studies in Electrical Engineering with Siemens)

His research focuses on optimizing deep neural networks for resource-constrained hardware like FPGAs, with applications in brain-computer interfaces (BCIs) and time series analysis. Key areas include spike sorting, feature extraction, clustering, and AI implementation on sensors/smart devices to improve data privacy.

Recent publications highlight his work on quantized neural network training, FPGA-based AI hardware for BCIs, and memristor applications in spike sorting. These works span computer science, biomedical engineering, and electrical engineering disciplines.

Leo contributes to knowledge transfer initiatives like the ZaKI.D project, aiming to democratize AI adoption for regional companies. He collaborates with researchers including Gregor Schiele and Andreas Erbslöh on embedded machine learning and adaptive systems.