Giulia Pasquale is a Postdoctoral Researcher at the Istituto Italiano di Tecnologia, iCub Facility, and at the Laboratory for Computational and Statistical Learning (IIT-MIT).
Her research focuses on visual object recognition and localization problems for robotic and machine vision, standing at the intersection between machine and deep learning, computer vision, robotics, but also high performance and GPU computing.
She recently received her Ph.D. in Bioengineering and Robotics - Humanoid Robotics, from the IIT in collaboration with the University of Genoa, DIBRIS. Previously, she received her master's and bachelor's degrees (with honors), respectively in Bioengineering - Neuroengineering, in 2013, and in Biomedical Engineering, in 2010, at the same university.
During her Ph.D., Giulia worked on all phases involved in the visual recognition pipeline, studying self-supervision techniques for data collection, invariance and robustness in representation learning, incremental and lifelong learning. She is currently continuing to work on these aspects, with the ultimate goal to deploy reliable, adaptive, and efficient systems on autonomous machines.