Silvia Francesca Storti

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Foto Storti Silvia Francesca, March 3, 2024
Position
Associate Professor
Sections
Ingegneria e Fisica
Academic sector
IBIO-01/A - Bioengineering
Research sector (ERC-2024)
LS5_16 - Systems and computational neuroscience (e.g. modelling, simulation, brain oscillations, connectomics)

LS5_18 - Innovative methods and tools for neuroscience

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Telephone
+39 045 802 7850
E-mail
silviafrancesca|storti*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
http://profs.scienze.univr.it/~menegaz/

Office Hours

Giovedì, ore 10.00 - 13.00, Ca' Vignal 2, piano 1, stanza 61. Per fissare un appuntamento scrivere a silviafrancesca.storti@univr.it

Curriculum

Ufficio: Ca'Vignal 2, 1.61

 

Research interests

Brain Computer Interfaces
Multimodal functional neuroimaging integration (EEG/high-density EEG, fMRI, ASL, EEG-TMS data)
Brain functional connectivity inference
Network analysis in health and clinical applications (epilepsy, stroke, neurodegenerative diseases, etc.)

 

Proposte di Tirocinio e Tesi

  • BCI attiva: connettività basata su EEG per brain-computer interface nel controllo di dispositivi robotici
  • BCI passiva: predizione dello stato di vigilanza e monitoraggio del carico cognitivo
  • Analisi della rete cerebrale utilizzando metodi connettività funzionale ed effettiva e teoria dei grafi in applicazioni cliniche (epilessia, stroke, malattie neurodegenerative, ecc.)
  • Modellazione dinamica della connettività funzionale del cervello
  • Integrazione di neuroimaging funzionale-strutturale
  • Deep Brain Project: analisi delle alterazioni delle sorgenti elettriche e connettività cerebrale tramite EEG in condizione simulata di acque profonde

 

È richiesta una buona conoscenza dei metodi di elaborazione dei segnali biologici e di Matlab

 

 

Modules

Modules running in the period selected: 35.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Computer Engineering for Robotic and Intelligent Systems Statistical Methods for Engineering (2025/2026)   6    6 
Bachelor's degree in Computer Science Biomedical Data and Signal Processing (2024/2025)   6  eLearning 1  (Modulo B Laboratorio)
2  (Modulo B Teoria)
PhD in Intelligent Systems Engineering Brain Computer Interfaces (2024/2025)   3  eLearning 3 
Bachelor's degree in Human Centered Medical System Engineering Modeling and Analysis of Biological Systems (2024/2025)   6  eLearning 2  (Modulo A - teoria)
1  (Modulo A - laboratorio)
Bachelor's degree in Bioinformatics Probability and Statistics (2024/2025)   6  eLearning 4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Computer Science Biomedical Data and Signal Processing (2023/2024)   6  eLearning 1  (Modulo A Laboratorio)
2  (Modulo A Teoria)
1  (Modulo B Laboratorio)
2  (Modulo B Teoria)
PhD in Computer Science Brain Computer Interfaces (2023/2024)   3  eLearning 3 
Bachelor's degree in Bioinformatics Probability and Statistics (2023/2024)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Computer Science Biomedical Data and Signal Processing (2022/2023)   6  eLearning 2  (Laboratorio)
4  (Teoria)
PhD in Computer Science Lezioni Dottorandi (2022/2023)   50  eLearning 1 
Bachelor's degree in Bioinformatics Probability and Statistics (2022/2023)   6  eLearning 4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Computer Science Biomedical Data and Signal Processing (2021/2022)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Computer Science Probability and Statistics (2021/2022)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Computer Science Biomedical Data and Signal Processing (2020/2021)   6  eLearning 4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Computer Science Probability and Statistics (2020/2021)   6  eLearning 4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Computer Science Biomedical Data and Signal Processing (2019/2020)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Computer Science Probability and Statistics (2019/2020)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Computer Science Probability and Statistics (2018/2019)   6  eLearning 2  [Informatica] (Laboratorio)
2  [Bioinformatica] (Laboratorio)
4  (Teoria)

Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:

  • Eventi di Terza Missione: eventi di Public Engagement e Formazione Continua.
  • Insegnamenti di Terza Missione: insegnamenti che fanno parte di Corsi di Studio come Corsi di formazione continua, Corsi di perfezionamento e aggiornamento professionale, Corsi di perfezionamento, Master e Scuole di specializzazione.

Research groups

Bioingegneria
Neuroimaging Group
Vision, Images, Patterns and Signals (VIPS)
VIPS activities are devoted to the analysis, recognition, modeling and prediction of multivariate multidimensional signals and patterns by artificial intelligence and machine learning techniques. Specific expertise and application domains include image processing, computer vision, pattern recognition, machine learning, human-machine interaction, computer graphics, mixed reality and gaming, analysis and modeling of biomedical and neuroscience data for both basic and translational research.
Research interests
Topic Description Research area
Neuroimaging The main activity is in the field of neuroimaging, including structural (diffusion MRI) and functional (EEG, fNIRS, functional MRI) imaging as well as perceptual analysis through cognitive science methods. The goal is to gain an holistic view of human brain when inspected in specific conditions by the integration of multi-modal multi-scale probing and modeling. In addition, advanced computer vision and pattern recognition methods are employed for designing numerical biomarkers for the characterization of healthy and pathological conditions. Bioengineering
Bioingegneria
Neuroimaging Data Analysis This domain regards the analysis of data coming from sensing devices measuring the brain strucural and functional information. The main utilised device is Magnetic Resonance Imaging (MRI) in its various modalities such as diffusion, structural, and functional MRI, as well as other sensors like EEG, fNIRS, MEG. The main goal is to better understanding brain functions by means of an integrated functional and structural analysis of the brain connectivity or of specific brain regions. This investigation is mainly performed with reference to neurological disorders - like autism and schizophrenia - and in comparison with control (healthy) subjects. Bioengineering
Bioingegneria
Projects
Title Starting date
EDIPO: A computational solution for bringing neuroimaging genetic into translational research 4/1/20
Brain connectivity underlying physiological and pathological patterns in action tremor 8/1/19
Mapping functional connectivity patterns in neurological and neurosurgical dis-eases with Arterial Spin Labeling and Blood Oxygenation Level Dependent MRI (VBRF) 8/1/16
Co-registrazione EEG-fMRI-sEMG nei soggetti normali studio normativo e metodologico 1/1/08
Co-registrazione EEG-fMRI in epilessia 1/1/08
Co-registrazione sEMG-fMRI in pazienti con stroke trattati con tossina botulinica 1/1/08
fMRI con protocollo di stimolazione del nervo mediano in soggetti sani 1/1/08
fMRI con protocollo di stimolazione del nervo mediano in pazienti con stroke in fase acuta 1/1/08
fMRI con protocollo di mobilizzazione passiva in pazienti con stroke in fase acuta 1/1/08
Monitoraggio dell’eccitabilità corticale dopo stroke mediante stimolazione magnetica transcranica 1/1/08
Farmaci e recupero motorio: studio mediante utilizzo di stimolazione magnetica transcranica 1/1/08
Coregistrazione EEG-TMS 1/1/08



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