
About
Prof. Paola Pierleoni is a Researcher at the Department of Information Engineering of the University of Ancona and Marche Polytechnic (UNIVPM). Her work focuses on IoT, telecommunications, and wearable sensor systems applied to healthcare, disaster management, and industrial automation. She leads projects in real-time data processing, embedded machine learning, and cross-protocol communication, with notable contributions to earthquake early warning systems and diabetes therapy optimization.
Her research combines telecommunications engineering with health monitoring applications, including gait analysis for Parkinson’s disease, stress assessment via wearable sensors, and underwater diver monitoring. She has developed low-cost IoT solutions for infrastructure monitoring (e.g., water leak detection) and AI-driven algorithms for medical diagnostics and industrial predictive maintenance.
Key projects include:
- Earthquake Early Warning systems using MEMS accelerometers
- AIoT frameworks for ambient assisted living (AAL)
- Bluetooth mesh network optimization for latency-sensitive applications
- Machine learning models for diabetes therapy personalization
Her work emphasizes interdisciplinary collaboration, integrating engineering, computer science, and medical expertise. Office hours are held on Mondays 9:00–13:00 at the Department of Information Engineering, Via Brecce Bianche.
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