Rasoul Mojtahedzadeh, PhD

Rasoul Mojtahedzadeh, PhD, is a highly skilled Deep Learning Researcher at Zenseact, focusing on innovative algorithms for LiDAR and Vision perception in autonomous driving systems since October 2022. Prior experience includes roles as a Senior Feature Engineer at Arriver and Veoneer, where advanced computer vision algorithms were developed for driver-assistance systems (ADAS). Rasoul also contributed as a Senior Researcher at Örebro University, working on stereo vision for the EU project SmokeBot to enhance 3D perception in challenging environments. Educational qualifications include a PhD in Computer Science and Robotics from Örebro University, an MSc in Systems, Control, and Robotics from KTH Royal Institute of Technology, and a Bachelor's degree in Electrical and Electronics Engineering from K. N. Toosi University of Technology.