Short CV

Natalie Maman, M.Sc., has been a research assistant in the Intelligent Embedded Systems department of the Faculty of Computer Science at the University of Duisburg-Essen since October 2024. In 2019, she completed her bachelor's degree in applied computer science with a focus on engineering informatics. In August 2023, she completed her master's degree in computer science with a focus on distributed, reliable systems, also at the UDE. Her master's thesis dealt with retraining autoencoders to compensate for data drift in neural spike sorting. This was followed by a year as an application software engineer at an IT service provider.

Research

She is currently employed on the TransfAIr project. The main goal of the project is to develop and test transfer approaches
for artificial intelligence in the industry. The focus of the project will be on approaches for transferring learned knowledge to new problems (transfer learning), as well as approaches for transferring existing neural networks to different hardware platforms. By developing a tool, the approaches are to be made usable for industrial users.