Michela Prunella received the B.Sc. and M.Sc. degree (both cum laude) in Medical Systems Engineering from Polytechnic University of Bari, in 2020 and 2022, respectively. Her master thesis provided an algorithm for the automatic 3D segmentation of patient-specific renal blood vessels and parenchyma from CTA scans. In 2022 she had been a research fellow developing defect detection deep neural networks, feature engineering and Computer Vision algorithms in “Cognitive Diagnostics”, a Public Private Laboratory in cooperation with Comau S.p.A.
Since November 2022, she is a Ph.D. Student in Autonomous Systems at the Industrial Laboratory, DEI, Polytechnic University of Bari. Her research aims at the development of Intelligent Systems for diagnosis and precision surgery by creating an adaptive biological Digital Twin from the elaboration of biomedical data, signals, images and videos, based on Machine and Deep learning frameworks. Advanced control methods are further involved in the phases of surgical planning, simulation and test with robotic guidance.
received the B.Sc. degree (cum laude) in 2020 in Medical Systems Engineering from Politecnico di Bari, Bari, Italy where she is now a Master’s student in Medical Systems Engineering. Her research interests are in image analysis, biomedical signal processing, intelligent systems (Deep learning algorithms) for precise diagnosis and treatments.