Adam Lilja

Adam Lilja is an Industrial PhD student at Zenseact, focusing on Deep Learning-based Road Model Estimation since September 2022. Prior to this role, Adam served as a Computer Vision Research Engineer at Smart Eye, where research in Computer Vision and Deep Learning was conducted. Adam developed algorithms for Autonomous Drive and Advanced Driver-Assistance Systems at Aptiv and engaged in various AI Perception projects during a tenure at Volvo Group Trucks Technology that included a master thesis on multi-object tracking. Earlier experiences include data analysis at Volvo Cars and several roles in manufacturing and operational tasks. Adam's educational background includes a doctorate program at Chalmers University of Technology, alongside master's degrees in Systems, Control and Mechatronics, and Mechanical Engineering, complemented by an exchange program at the City University of Hong Kong.