PhD student in automatic control since 2021. Part of WASP (Wallenberg AI, Autonomous Systems and Software Program). MSc in Engineering Physics, graduated in 2021 with master's thesis on machine learning methods for interpreting EEG signals.
Research interests include data-driven control, control of large-scale networks and its application to social networks, opinion modeling and EEG signal processing.
"Achieving consensus in networks of increasingly stubborn voters" to be published at the 61st IEEE Conference on Decision and Control (CDC 2022).
- FRTN05 - Non-linear control and servo systems
- FRTN75 - Learning-based control
- FRTN30 - Network dynamics