Short CV

Leo Buron, M.Sc., is working as a research assistant and doctoral student at the Intelligent Embedded Systems Lab since May 2022. After completing his dual studies in electrical engineering at the University of Applied Sciences in Düsseldorf in cooperation with Siemens, he moved to the University of Duisburg-Essen for his master's degree. There, he studied Electrical Engineering and Information Technology with a focus on embedded systems and worked part-time at Siemens Energy. His master thesis was about the efficient design of LUTs on FPGAs for precomputed neural networks.

Following this, he was employed for the MERCUR project Sp:Ai:ke. The main goal of this project was to optimise an existing spike sorting algorithm for FPGAs and to develop better alternatives in the future. His particular focus lies on time series analysis. The most important steps here are Feature Extraction and Clustering.

He is currently employed on the ZaKI.D project. The focus of this project lies on the implementation of artificial intelligence on extremely resource-constrained devices such as sensors or other smart devices. This approach helps to avoid data protection issues while enabling new services to be provided directly within the product or machine. The goal of the project is to make artificial intelligence accessible to companies in the Duisburg and the surrounding areas. Through small-scale projects and training initiatives, the aim is to facilitate knowledge transfer into these companies.

Research

His research focuses on online training of deep neural networks on embedded devices. He is developing training approaches for MCUs and FPGAs. For MCUs, the key focus is on the use of built-in hardware accelerators and memory efficiency. For FPGAs, the focus is on RTL pipelining and operation parallelisation.