Amirshayan Nasirimajd is a computer vision researcher specializing in egocentric perception and robotics.

He holds an M.Sc. in Data Science and Engineering from the Politecnico di Torino, where he worked on sequential domain generalization for egocentric action recognition.

Amirshayan has contributed to multiple research projects, winning the 2023 EPIC-Kitchens Unsupervised Domain Adaptation Challenge. He has extensive experience in applied computer vision for robotics, having worked on EU-funded projects at Politecnico di Milano.

With a strong technical background in ROS and deep learning frameworks, he is passionate about advancing AI for real-world applications.