Gloria Menegaz is Professor of Bioengineering at the Dept. of Engineering for Innovation Medicine, University of Verona (Italy) and head the BraiNAVLab. She holds a PhD in Applied Sciences (EPFL 2000) a MSc in Electronic Engineer (1993) and a post-grade Master's in information technology (1995) (Politecnico di Milano, Italy). From 2000 to 2002 she was first research assistant at the Telecommunications Lab (LCAV) of EPFL, headed by Prof. Martin Vetterli, that she left to join the Computer Science Dept. of the University of Fribourg (Switzerland) as an Assistant Professor. In 2004 she was awarded the Rita Levi Montalcini grant by the Italian Ministry of University and Research (MIUR)(DM 20/03/2003 n. 501) and joined the Dept. of Information Engineering of the University of Siena (Italy) as an Assistant Professor. In 2007 she joined the Dept. of Computer Science of the University of Verona (Italy) as an Associate Professor and became full Professor in 2017. Prof. Menegaz is a Senior Member of the IEEE, the Signal Processing Society (SPS), Liason representative of the IEEE-SPS and member of the steering committee of the IEEE Transactions on Medical Imaging (TMI), member of the Challenges and Data Collection Technical Committee of the SPS, Chair of the Technical Committee for Challenges and Data Collections of the IEEE Bioimaging and Signal Processing (BISP) Committee of the IEEE (Co-chair Prof. Vince Calhoun, Georgia Institute of Technology), and member of the IEEE Woman in Engineering. She is also a member of Member of the Medical Image Computing and Computer Assisted Intervention Society (MICCAI) Special Interest Group on Biomedical Image Analysis Challenges (SIG-BIAC), of the Ad Hoc Group (AHG) on Digital Media Storage using DNA (JPEG-DNA) and Observer for the DICOM WG-32 (Neurophysiology data). She is Associate Editor of the IEEE Transactions on Medical Imaging and Scientific Reports (Nature), has served as Guest Editor of the IEEE-SPM and for other venues. She has been Vice-Chair for the FET-REA and the MSCA-IF for many years and Independent Expert for many international Institutions including European Science Foundation (ESF), SKF, Sweden, among others. She authored more than 130 publications in international journals and conference proceedings and has been chair, area chair and technical committee member of many international conferences, especially of the IEEE. Close Bio

Silvia F. Storti is Associate Professor in Bioengineering at the Department of Engineering for Innovation Medicine (DIMI) - University of Verona, where she conducts research in the field of neuroengineering. She works on the development of both active and passive brain computer interfaces, as well as on the processing of biomedical signals and images. Her research mainly concerns the design of intelligent systems for the analysis of multivariate and dynamic data, aimed at predicting brain states and estimating brain connectivity. Her activities include studies employing different combinations of neurotechnologies, EEG-TMS, wearable systems (EEG, EMG/IMU), and fMRI, to analyze neural plasticity and guide the design of personalized treatments. She received the M.Sc. degree in Electronic Engineering from the University of Padova and the Ph.D. degree in Neuroscience from the University of Verona. Since 2018, she has been part of the Department of Computer Science at the University of Verona as a researcher. In 2021, she became Associate Professor and, since March 2023, has been affiliated with the Department of Engineering for Innovation Medicine. She is a member of the BraiNavLab research group, supervises two PhD students and one post-doc, and is co-author of 69 peer-reviewed scientific publications in international journals, as well as over 100 contributions to leading conferences such as IEEE-EMBC and OHBM. Her scientific impact is reflected in an H-index of 24 (1,675 citations). She is a member of the IEEE Signal Processing Society and the Italian National Bioengineering Group and serves as Associate Editor for the IEEE Journal of Biomedical and Health Informatics and BioMedical Engineering OnLine. Close Bio

Ilaria Boscolo Galazzo is Temporary Assistant Professor (RTDb) in Bioengineering at the Dept. of Computer Science, University of Verona. She graduated cum laude in Biomedical Engineering at the University of Padova (2010) and received the Ph.D. degree in Neuroscience from the University of Verona (May 2014). She took a position as Research Associate at the Institute of Nuclear Medicine, UCL, London from 2014 to 2016 and then at the Dept. of Computer Science, University of Verona from 2016 to July 2020 as Post-Doc in the BraiNAVLab headed by Prof. Gloria Menegaz. Since August 2020 she is RTDa in Bioengineering at the same Department. Her main research activities include imaging genetics, statistical/machine learning for neuroimaging data and multimodal integration, Arterial Spin Labeling and functional MRI modeling, and brain connectivity from non-invasive recordings. She is Associate Editor for IEEE Access and Review Editor for Frontiers in Neuroinformatics. Close Bio

Lorenza Brusini is Temporary Assistant Professor (RTDa) in Bioengineering at the Dept. of Computer Science, University of Verona, Italy. She received the Master Degree in Bioinformatics and Medical Biotechnologies from the University of Verona (2014) and the Ph.D. Degree in Computer Science with mention Doctor Europaeus from the University of Verona, Italy (2017). From 2017 to 2021 she worked as Post-doc Researcher in the BraiNAVLab headed by Prof. Gloria Menegaz, and she is still working in the same lab as junior researcher. Her main research interests are in the area of Neuroengineering and are focused on brain microstructure and structural connectivity characterization derived from diffusion magnetic resonance imaging signal modelling. She is also interested in integrating such data with other types like images from different magnetic resonance modalities, genetic information, etc. For this purpose, she is developing artificial intelligence models and interpretability methods to make them explainable and thus more reliable to use for many applications, especially for clinical ones. Artificial intelligence models and connected explainable methods are revealing potential also in her recent research interest in brain computer interface where she can contribute mainly to the exploitation of such a models for real time applications and validation experiments. Close Bio

After graduating in physics in 2012, Nicola Valè turned his interest toward rehabilitation receiving the Bachelor degree in Physiotherapy and the Master Degree in Rehabilitation Sciences. He completed the Ph.D. degree in Neuroscience at the University of Verona in 2022. From 2016 to 2023 he worked at the Neuromotor and Cognitive Rehabilitation Research Center of the University of Verona as research assistant, Ph.D. student and then post doc researcher. His work focused on neurorehabilitation, motor control and movement analysis. He joined the BraiNAVLab in 2024 as post doc researcher working on a funded research project on the use of eXplainable AI for the study of brain connectivity and neuroplasticity. Close Bio

Ettore Cinquetti received his B.S. degree in Computer Science, and his M.S. in Computer Science and Engineering, from University of Verona, respectively in November 2019 and March 2022. His M.S. thesis is titled "Multi-Channel Variational Autoencoder for Data Integration in Imaging Genetics". Still bound to University of Verona, he's now a research collaborator, working with the BraiNAVlab group. He's currently focused on the following topics 1) deep learning and neural networks, 2) multivariate signal analysis and 3) processing, BCI. Close Bio

Edoardo Paolini is a Ph.D student at the Dept. of Computer Science, University of Verona, Italy. He received the B.S. in Computer Science at the University of Verona (2020) and the M.S. in Quantitative and Computational Biology at the University of Trento (2023). For his Bachelor's thesis, he investigated the reliability of several functional connectivity (FC) and graph metrics applied to resting-state functional magnetic resonance imaging (rs-fMRI) data, while for his Master's thesis, he investigated part of the metabolic pathways of Mycobacterium Tuberculosis in the field of systems biology. He is currently applying multivariate statistical techniques to analyse brain connectivity in patient at different stages of Alzheimer's disease (AD) and developing EEG-TMS systems based on brain connectomics for personalized treatment of epilepsy. Close Bio

Giorgio Dolci received his B.S. in Bioinformatics and M.S. in Medical Bioinformatics cum-laude from the University of Verona in 2023. He is currently a PhD student in Computer Science at the University of Verona. He took a position as external researcher at the Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA, from March 2022 to July 2022, and from May 2023 to August 2023, under the supervision of prof. Vince D. Calhoun. Additionally, he made two different internships at the BraiNavLab under the supervision of prof. Gloria Menegaz. His research interests include 1) Magnetic Resonance Imaging processing and analysis; 2) Genetics data analysis; 3) Artificial Intelligence models applied to biomedical and clinical domains, with more focus to deep learning; 4) Integration and fusion of heterogenous data through deep multimodal learning architectures; 5) Application and validation of eXplainable Artificial Intelligence methods in clinical and biomedical domains. Close Bio

Irene Treccani received her B.Sc. in Bioinformatics and M.Sc. in Medical Bioinformatics from the University of Verona in 2023. She currently holds the position of Research Fellow in BraiNavigationLab at the University of Verona. For her Master's thesis, she conducted an analysis of genetic data from patients affected by Major Depressive Disorder to compute the Polygenic Risk Score. She is involved in a project entitled “AntiAGING - Artificial Intelligence for Healthy Aging”, and her main research focus is centered around conducting genetics data analysis to investigate the phenotype-genotype mapping concerning Alzheimer's disease and cardiovascular diseases. Close Bio

Virginia Filippi obtained both her M.Sc. in Artificial Intelligence and B.Sc. in Bioinformatics cum laude from the University of Verona, where she is currently pursuing a PhD in Intelligent Systems Engineering. Her research investigates the use of machine learning and deep learning in neuroimaging, focusing on brain connectivity, graph signal processing, and interpretable AI for studying the relationship between brain structure and function in the context of neurodegenerative disorders such as Alzheimer's disease. Close Bio

Silvia Saglia completed her M.Sc. in Neuroscience and Neuropsychological Rehabilitation at the University of Padova in 2020. She then focused on neuroimaging and computational methods. From 2021 to 2024 she worked at the IRCCS Centro San Giovanni di Dio Fatebenefratelli in Brescia on a Ministry of Health-funded clinical trial using network-based TMS in individuals at risk for Alzheimer’s disease. Her work focused on participant coordination and the processing and analysis of multimodal MRI data. She joined the BraiNAVLab in 2024 as a research fellow, working on large-scale neuroimaging, brain connectivity, MRI/PET integration, imaging-genetics, and AI methods applied to Alzheimer’s and Parkinson’s disease. Close Bio