Public defence, Ali Zoljodi - Computer Science

The public defence of Ali Zoljodi’s doctoral thesis will take place at Mälardalen University, campus Västerås November 6, 2026, and digitally.

Title: Efficient Model Design and Self-Supervised Learning for Real-Time Autonomous Vehicle Perception

Third-cycle subject: Computer Science

Time: 13:30

Room: Kappa, and digitally

External reviewer: Professor Enzo Tartaglione, Télécom Paris, France

The examining committee consists of:

• Professor Amy Loutfi, Örebro University
• Assistant Professor Azade Farshad, Aalto University, Finland
• Associate Professor Per-Erik Forssén, Linköping University

Reserve member of the examining committee: Professor Mikael Ekström, Mälardalen University.

Language: The public defence will be held in English.

The doctoral thesis has the serial number: 476

Full text in DIVA: Efficient Model Design and Self-Supervised Learning for Real-Time Autonomous Vehicle Perception External link.