People

Marco Knaflitz is actually a Full Professor at Politecnico di Torino. He has been active since 1985 in the fields of design of biomedical instrumentation and biomedical signal analysis. Specifically, his research interests are mainly focused on the detection and analysis of the myoelectric signal for research and clinical applications.

Filippo Molinari is currently a Full Professor at Politecnico di Torino. His main research activities are: atherosclerosis and artery plaque assessment, non-invasive characterization of tumor vascularization, neuroimaging for the advanced assessment of neurodegenerative disorders, neurovascular and metabolic assessment of cerebral autoregulation.

Valentina Agostini is currently an Associate Professor. Her current research interests are in statistical gait analysis and static posturography.

Since 1993 Gabriella Balestra has been on the Faculty of Politecnico di Torino, where she teaches decision support systems. Her research interests include biomedical signal interpretation, decision support systems, medical informatics, and telemedicine.

Samanta Rosati is currently an Assistant Professor with a time contract. Her research is focused on biomedical data interpretation and signal processing.

Kristen M. Meiburger is currently a Tenure-track Assistant Professor. She is mainly active in the field of biomedical image processing, with a main focus on vascular network analysis using biomedical optical imaging methods (i.e., optical coherence tomography angiography, photoacoustics) and radiomics and deep learning applications. She is also active in the field of biomedical signal processing and, particularly, in ultrasound image beamforming methods.

Massimo Salvi is currently an Assistant Professor with time contract (RTD/a) at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research interests include image processing, biomedical signal interpretation and deep learning.

Marco Ghislieri is currently a Assistant Professor with time contract at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. He is mainly active in the field of biomedical signal processing, with a main focus on surface electromyographic signal analysis during cyclical movements in healthy and pathological conditions. He is also active in the field of neuro-engineering and, particularly, in motor control strategy assessment through the analysis of the muscle synergies.

Nicola Michielli is currently a Research Assistant at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research is mainly focused on the development of mathematical methods for the functional assessment of biomedical signals and medical images in digital pathology.

Silvia Seoni is currently a Research Assistant at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Her research is mainly focused acquisition, analyses and interpretation of biomedical signals processing.

Noemi Giordano is currently a PhD student at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Her research is mainly focused on the design of devices with application in cardiology, cardiological signal interpretation and telemedicine.

Francesco Marzola is currently a PhD student at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research activity is mainly focused on image processing with attention on deep-learning applications for the segmentation and synthesis of images, particularly in ultrasonography.

Jovana Panic is currently a PhD student at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Her research is mainly focused on analyses and interpretation of biomedical images processing with the application of artificial intelligence techniques.

Francesco Branciforti is currently a Ph.D. student (Bioengineering and Medical-Surgical Sciences) at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research is mainly focused on dermatological image analysis and particularly on the design and development of a smartphone-based microscope and innovative deep learning techniques for normalizing, segmenting and classifying skin lesions. 

Gregorio Dotti was born in Torino, Italy. He received his Master’s Degree in Biomedical Engineering from Politecnico di Torino, Turin, Italy, in 2021. He currently holds a scholarship at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research is mainly focused on the analysis of EMG signals using data mining and machine learning techniques.

She is a Ph.D. student in Bioengineering and Medical-Surgical Sciences at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Specifically, her research is mainly focused on tumor characterization using Artificial Intelligence techniques and a Multiomics approach, i.e., combining radiological, histopathological, and clinical data.

Giulia Rotunno is a Ph.D. student in Bioengineering and Medical-Surgical Sciences at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. Her research is mainly focused on image processing and in particular on the acquisition, reconstruction and processing of OCT/OCTA volumes.

Yanhua Zhang was born in Nanyang, China. He received his Master’s Degree in Navigation, Guidance and Control from Northwestern Polytechnical University, Xian, China, in 2020. Currently, he is a Ph.D. student in Control Science and Engineering at the School of Aerospace of Northwestern Polytechnical University, China and a visiting student at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research is mainly focused on medical image segmentation and deep learning.

He is currently a PhD student in Artificial Intelligence at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. His research is mainly focused on the use of machine learning techniques for the development of a digital twin associated with a telemedicine platform with applications in cardiology.