I am a master student at Linköping University,
studying Signal & Image Processing.
I also recently finished an exchange year at Katholieke Universiteit Leuven
where I focused on learning more about A.I. My main interests are in generative modelling and image processing.
I'm currently doing my Master Thesis, expected to be done by June 2020 + Working for FIA Robotics, implementing Computer Vision Solutions for the @home-cup 2020.
The project involved constructing an autonomous race car, navigating within the bounds of a walled off track. We used ultrasonic sensors and a LIDAR as our main source of control. We combined control theory with an ANN to efficiently control the vehicle.
I worked on integrating the LIDAR and ultrasonic sensors into the system, as well as data collection for ML and dependency management.
We investigated agent behaviour in a Multi-Agent system. We were given a simulated environment and constructed Deep Learning RL-agents with different kinds of reward functions, and investigated their observed behaviour.
I mainly worked on the models, i.e. implementing the network architecture as well as the RL algorithm (A3C).