Marko Bertogna

Marko Bertogna is a Full Professor in the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia. His primary research focuses on real-time systems, embedded systems, autonomous driving, machine learning, and robotics. He leads the HiPeRT Lab and teaches courses such as Autonomous Driving Systems, Real-Time Embedded Systems, and Computer Architecture.

His work spans interdisciplinary areas including:

• Autonomous vehicle control and perception
• Real-time scheduling algorithms for heterogeneous platforms
• IoT applications in agriculture and environmental monitoring
• Efficient deep learning models for embedded systems
• GPU and multi-core predictability

Notable projects include the SPHERE architecture for cyber-physical systems, the F1/10 autonomous vehicle platform, and the BETTY dataset for full-stack autonomy.

Recent articles highlight contributions to 6-DoF pose estimation for robotics, livestock waste management via IoT, and model-based control for autonomous racecars. He collaborates with industries on automotive-grade embedded systems and safety-critical applications.