Lukas Eisenmann

Research on the training of recurrent neural networks. Analysis and method development. One key accomplishment has been the development of a novel algorithm that streamlines the analysis of RNN dynamics, providing clearer insights into these complex systems. You can learn more about our ongoing projects and research team on our group page: : https://durstewitzlab.github.io/

-Successfully worked with a client in an agile environment, presenting results regularly. -Implemented algorithms for product search and configuration. -Engaged in frequent communication with the client. -Contributed to a project involving automated data sheet processing using Machine Learning. -Python for backend development using FastAPI and SQLAlchemy. -Efficient, robust, and maintainable algorithm implementation. -Tested Web APIs using Postman. -Workrd with databases and SQL.

Department of Acoustics and Vibrations. Investigation of high-voltage cables. Acoustic research in combustion and electric vehicles.