Lucia Migliorelli

Lucia Migliorelli is a Research Fellow at the Polytechnic University of the Marche, Italy. She completed her Master of Science in Biomedical Engineering (cum laude) in 2018 and has been pursuing a PhD since 2018 under Prof. Emanuele Frontoni. Her research focuses on AI-driven monitoring systems for healthcare applications, leveraging multimedia data analysis without wearable sensors. Key areas include human action recognition, medical record analysis, and non-invasive patient monitoring for populations like preterm infants and elderly patients.

Education highlights include a Master’s thesis on machine learning for diabetes management and ongoing PhD work on intelligent spaces for automated behavior analysis. Current projects involve federated learning for medical imaging (e.g., MRI-to-CT synthesis) and edge AI for real-time surveillance systems. She is based at the Polytechnic University of the Marche, contributing to interdisciplinary research at the intersection of biomedical engineering and artificial intelligence.

Her publications span medical image analysis, AI in digital humanities, and ethical considerations in healthcare AI. She actively develops prototypes for neonatal intensive care units, emergency vehicle detection, and groundwater level prediction. No scientific awards are explicitly listed, though her work reflects strong contributions to AI-driven healthcare innovation.

Current advising and grants are not detailed in the text, but her research aligns with lab efforts in environmental AI, rehabilitation robotics, and telemonitoring systems for neurological disorders. She collaborates with multidisciplinary teams to advance ethical, sustainable AI solutions for clinical and societal challenges.