Mirco Rampazzo

Mirco Rampazzo is an Assistant Professor in the Department of Information Engineering at the University of Padova. His research focuses on advanced control systems, smart grid stability, machine learning applications in energy systems, and fault detection in medical devices like artificial pancreas systems. He leads projects on energy-efficient HVAC systems, real-time optimization of heat pumps, and adversarial robustness in critical infrastructure.

His work integrates machine learning with traditional control engineering, addressing challenges in thermal systems (e.g., CO2 heat pumps), grid resilience against cyberattacks, and automation in industrial processes. Key contributions include the GAN-GRID framework for smart grid security and FaultGuard for resilient fault prediction.

Rampazzo also explores extremum-seeking control algorithms for optimization in complex systems, such as data center cooling and sludge drying processes. His publications span journals and conferences, emphasizing interdisciplinary approaches to energy, healthcare, and industrial automation.

He maintains an active role in editorial and academic activities, including peer review and course development for engineering education. Current research activities include reinforcement learning for anesthesia control and elastic shape analysis for textile quality assessment.