Summary
Nicola Garau is an assistant professor and computer vision researcher at the University of Trento with a decade of experience spanning academia and industry. His PhD work on viewpoint-equivariant networks advanced robust human pose estimation, and he has applied those skills in research roles at Epic Games and an OpenPose porting internship at Carnegie Mellon. He combines deep technical expertise—GPU pipelines, CapsNets, and real-time video stitching—with practical product-oriented engineering from roles building digital assistants and tactical sports cameras. Beyond research, Nicola has strong community engagement as co-organizer of Unity User Group and Global Game Jam chapters in Trento, bridging research, teaching, and developer communities. He teaches master’s level computer vision and multimedia courses, mentoring students while leading applied research projects. Colleagues describe him as a hands-on researcher who moves models from theory into performant, real-world systems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Excellent, cum laude, Doctor of Philosophy - PhD, Computer Vision, Excellent, cum laude at Università di Trento
Bachelor’s Degree, Computer Science, 110L/110, Bachelor’s Degree, Computer Science, 110L/110 at Università degli Studi di Cagliari
High School, Sciences, High School, Sciences at Second Level College of Science
Master’s Degree, Computer Science, 110L/110, Master’s Degree, Computer Science, 110L/110 at Università degli Studi di Trento
Italian, English, Chinese, Spanish