Lorenzo Palma

Prof. Lorenzo Palma is a Researcher at the Department of Information Engineering, Faculty of Engineering, Università Politecnica delle Marche. His work focuses on interdisciplinary research at the intersection of IoT, wearable sensors, and biomedical engineering. Key areas include earthquake early warning systems, smart healthcare solutions, and embedded machine learning applications.

Research Interests: Prof. Palma’s research spans IoT protocols optimization, wearable sensor development for clinical applications (e.g., diabetes monitoring, fall detection), and real-time signal processing for disaster preparedness. He has contributed to projects like seismic sensor networks, AAL (Ambient Assisted Living) systems, and AI-driven healthcare diagnostics. His work emphasizes low-cost, resource-efficient solutions for both industrial and medical domains.

Publications Trends: Recent articles highlight advancements in AIoT systems for disaster response, embedded vision for disease classification, and BLE mesh network optimizations. He frequently explores the integration of machine learning with wearable devices for personalized healthcare and industrial predictive maintenance.

Professional Activities: Active in academic-industry collaborations, Prof. Palma has developed prototypes for smart home automation, seismic monitoring tools, and clinical assessment systems. His lab specializes in cross-protocol IoT solutions and real-world sensor validation. Office hours are held Monday 9:00-12:00 at Via Brecce Bianche 12.