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About
Prof. Francesco Ferracuti is a Researcher at the Department of Information Engineering (Università Politecnica delle Marche, Ancona, Italy). His work focuses on advanced control systems, robotics, brain-computer interfaces, and energy management. Key research themes include fault-tolerant control, autonomous navigation, and human-machine interaction through wearable sensors.
Research interests span across:
- Control Engineering (MIMO systems, PID control, Model Predictive Control)
- Robotics (mobile robotics, UAVs, smart wheelchairs)
- Neuroengineering (EEG-based BCI, cognitive workload assessment)
- Energy Systems (renewable integration, home energy management)
- Data-Driven Methods (machine learning, system identification)
Publications emphasize innovative solutions like EEG-driven obstacle avoidance and thermal stress monitoring for smart wheelchairs, demonstrating interdisciplinary approaches combining robotics with biometrics. His work on fault detection in multirotors and energy optimization algorithms highlights practical applications in both industrial and healthcare domains.
Current projects include the E-MOTIVE initiative for mobility solutions via affective computing and BCI. His lab develops cutting-edge algorithms for cyber-physical systems security and predictive maintenance in industrial equipment.
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