Gloria Menegaz

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Gloria Menegaz, September 6, 2019
Position
Full Professor
Role
Professore Ordinario
Academic sector
INF/01 - INFORMATICS
Research sector (ERC)
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems

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

PE6_12 - Scientific computing, simulation and modelling tools

Office
Ca' Vignal 2,  Floor 1,  Room 55
Telephone
+39 045 802 7024
Mobile
+39 347 2248704
Fax
+39 045 802 7068
E-mail
gloria|menegaz*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Wednesday, Hours 5:00 PM - 6:00 PM,  
Il ricevimento viene concordato via email. 

Curriculum

Gloria Menegaz è Professore Ordinario presso il Dipartimento di Informatica dell’Università di Verona. E' stata Direttore della Scuola di Dottorato in Scienze Naturali e Ingegneristiche dal 2014 al 2019. Dal 2004 al 2007 è stata Prof. Associato presso lo stesso Dipartimento, dopo aver trascorso tre anni (2004-2007) presso il Dipartimento di Ingegneria dell’Informazione dell’Università di Siena come Professore Aggregato quale vincitrice del bando Rientro dei Cervelli del MIUR (DM 20/03/2003 n. 501). Dal 2002 al 2004 è stata Prof. Assistente presso il Dipartimento di Informatica dell’Università di Friborgo (Svizzera), dopo un post-doc (2000-2002) presso il Lab. Di Comunicazioni Audiovisuali (LCAV) e presso il Lab. Di Bioimaging (BIG) del Politecnico Federale di Losanna (EPFL). Ha conseguito il PhD in Applied Sciences (Docteur ès Sciences Techniques) presso il Lab. di Elaborazione dei Segnali (LTS) dell’EPFL nel 2000, la laurea in Ing. Elettronica con indirizzo Microelettronica, Optoelettronica e Strumentazione presso il Politecnico di Milano (1993 e 1995) ed il Master in Tecnologie dell’Informazione presso il CEFRIEL-Politecnico di Milano. Il suo profilo scientifico è altamente interdisciplinare e include l’elaborazione di segnali e immagini con applicazione in ambito biomedico (neuroimaging), l'intelligenza artificiale e lo studio e la modellazione della percezione. E’ autore di piu di 190 pubblicazioni che includono riviste prestigiose quali IEEE Trans. on Image Proc., IEEE Trans. on Medical Imaging, Frontiers in Neuroscience, Human Brain Mapping, Journal of Neural Engineering, 2 capitoli di libri e due brevetti. E’ Senior Member dell’IEEE, componente dell’Editorial Board of the Eurasip Journal of Image and Video Processing e TPC e area chair di numerosi congressi internazionali (IEEE ISBI, IEEE ICIP, EUSIPCO). E’ esperto valutatore di progetti per diversi enti internazionali tra cui la commissione europea (H2020, FP7, ESA), la European Science Fundation (ESR), il MIUR (PRIN, SIR, FIRB, RLM), l’ANR (Francia) e la Swedish Knowledge Foundation.
 
 

Modules

Modules running in the period selected: 52.
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 Bioinformatics Pattern recognition and Signal and image Processing in Bioinformatics (2021/2022)   12  eLearning 4  SEGNALI E IMMAGINI I (Teoria)
2  SEGNALI E IMMAGINI I (Laboratorio)
Master's degree in Computer Science and Engineering Visual intelligence (2021/2022)   6    5  (Teoria)
1  (Laboratorio)
Master's degree in Computer Engineering for Robotics and Smart Industry Human computer interaction (2021/2022)   6    2  ADVANCED INTERACTION
PhD in Computer Science (click to insert) Data analysis for biomedical sciences (2020/2021)   3    3 
Master's degree in Computer Science and Engineering Image Processing II (2020/2021)   6  eLearning 5  (Teoria)
1  (Laboratorio)
Bachelor's degree in Bioinformatics Pattern recognition and Signal and image Processing in Bioinformatics (2020/2021)   12  eLearning 2  SEGNALI E IMMAGINI I (Laboratorio)
4  SEGNALI E IMMAGINI I (Teoria)
Master's degree in Computer Science and Engineering Image Processing II (2019/2020)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Bioinformatics Signal and image processing for bioinformatics (2019/2020)   12  eLearning 2  (Segnali laboratorio)
4  (Segnali teoria)
PhD in Computer Science Attività didattica dottorato (2019/2020)   50  eLearning 1 
Master's degree in Computer Science and Engineering Image Processing II (2018/2019)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Bioinformatics Signal and image processing for bioinformatics (2018/2019)   12  eLearning 2  (Segnali laboratorio)
4  (Segnali teoria)
Master's degree in Medical Bioinformatics Biomedical image processing (2017/2018)   6  eLearning 1 
Master's degree in Computer Science and Engineering Human-computer Interaction (2017/2018)   6  eLearning 2 
Master's degree in Computer Science and Engineering Image Processing II (2017/2018)   6  eLearning 6 
Bachelor's degree in Computer Science Signal and image processing (2017/2018)   6    6 
Master's degree in Medical Bioinformatics Biomedical image processing (2016/2017)   6  eLearning 1 
Master's degree in Computer Science and Engineering Human-computer Interaction (2016/2017)   6  eLearning 1 
Bachelor's degree in Bioinformatics Image processing for bioinformatics (2016/2017)   6    6 
Master's degree in Computer Science and Engineering Image Processing II (2016/2017)   6  eLearning 6 
Master's degree in Bioinformatics and Medical Biotechnology Bioimaging and Biomedical data processing (2015/2016)   12    2  BIOIMMAGINI (laboratorio)
4  BIOIMMAGINI (teoria)
Master's degree in Computer Science and Engineering Human-computer Interaction (2015/2016)   6  eLearning 2 
Bachelor's degree in Bioinformatics Image processing for bioinformatics (2015/2016)   6    6 
Master's degree in Computer Science and Engineering Multiresolution analysis: theory and applications (2014/2015)   6    6 
Bachelor's degree in Computer Science Signal and image processing (2014/2015)   12  eLearning 6  IMMAGINI
Master's degree in Computer Science and Engineering Multiresolution analysis: theory and applications (2013/2014)   6    6 
Bachelor's degree in Computer Science Signal and image processing (2013/2014)   12    6  IMMAGINI
Master's degree in Computer Science and Engineering Multimedia communications (2012/2013)   6    6 
Bachelor's degree in Computer Science Signal and image processing (2012/2013)   12    6  IMMAGINI
Master's degree in Computer Science and Engineering Multimedia communications (2011/2012)   6    6 
Bachelor's degree in Computer Science Signal and image processing (2011/2012)   12    6  IMMAGINI
Master's degree in Bioinformatics and Medical Biotechnology Bioimaging and Biomedical data processing (2010/2011)   12    2  BIOIMMAGINI (Laboratorio)
4  BIOIMMAGINI (Teoria)
Bachelor's degree in Bioinformatics Image processing for bioinformatics (2010/2011)   6    6 
Master's degree in Computer Science and Engineering Multimedia communications (2010/2011)   6    6 
Bachelor's degree in Bioinformatics Image processing for bioinformatics (2009/2010)   6    6 
Master's degree in Computer Science and Engineering Multimedia communications (2009/2010)   6    6 
Bachelor's degree in Bioinformatics Systems and Signals for Bio-Informatics (2009/2010)   6    6 
Bachelor in Computer Science (until 2008-2009 academic year) Human-computer Interaction and Multimedia (2008/2009)   5    1  Laboratorio
4  Teoria
Bachelor's degree in Bioinformatics (until 2008-2009) Image Processing (2008/2009)   5    5 
Bachelor's degree in Bioinformatics (until 2008-2009) Systems and Signals for Bio-Informatics (2008/2009)   5    5 
Bachelor's degree in Multimedia Information Technology (until 2008-2009) Computer Architecture (2007/2008)   10    1  Laboratorio
Bachelor in Computer Science (until 2008-2009 academic year) Computer Architecture (2007/2008)   10    1  Laboratorio

Advanced teaching activities
Name Online
2019 Summer School on Brain Connectomics (35° ciclo - PhD in Nanoscience and Advanced Technologies)
2019 Summer School on Brain Connectomics (34° ciclo - PhD in Nanoscience and Advanced Technologies)
2019 Summer School on Brain Connectomics (35° ciclo - PhD in Computer Science)
2019 Summer School on Brain Connectomics (34° ciclo - PhD in Computer Science)
2019 Summer School on Brain Connectomics (35° ciclo - PhD in Biotechnology)
2019 Summer School on Brain Connectomics (34° ciclo - PhD in Biotechnology)
 

Research groups

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
Biomedical data processing Feature extraction and integration from multi-modal data using multi-scale sparse representations for the definition of numerical biomarkers. Pattern recognition and machine learning for medical imaging and behavioral analysis. Machine Intelligence
Machine learning
Image processing and computer vision Basic image processing, e.g. image enhancement, interpolation (digital zooming). Image processing applied to medical images, 2D and 3D segmentation, feature extraction, texture analysis. Optical flow extraction and processing. IMAGE PROCESSING AND COMPUTER VISION
Multi-modal biomedical image processing Computer vision and computational intelligence. Segmentation of multi-dimensional multi-modal data and objective validation of the outcomes. Machine Intelligence
Artificial intelligence
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. Bioinformatics and medical informatics
Life and medical sciences
Sparse signal processing Sparse multi-resolution representations for analysis and modeling of biological signals including diffusion MRI and EEG. Machine Intelligence
Discrete mathematics
Projects
Title Starting date
EDIPO: A computational solution for bringing neuroimaging genetic into translational research 4/1/20
User profiling from heterogeneous big data by machine learning for Fair digital innovation 9/1/19
Brain connectivity underlying physiological and pathological patterns in action tremor 8/1/19
Raccolta e integrazione di fonti eterogenee di dati e progettazione di una piat-taforma per la profilazione di eventi fieristici 8/20/18
Mapping functional connectivity patterns in neurological and neurosurgical dis-eases with Arterial Spin Labeling and Blood Oxygenation Level Dependent MRI (VBRF) 8/1/16
Brain microstructural modeling for improved TMS anchoring - Joint Projects 2015 7/1/16
Studio, implementazione e validazione di interfacce per sistemi robotici (FSE) 7/1/16
Investigation of structural and functional brain connectivity from multimodal data - Joint Projects 2014 1/1/15
AHeAD - Automatic Human behavior Analysis in neurological Diseases: the case of epilepsy - Joint Projects 2012 9/18/13
Fusione e quality assesment di immagini da TC volumetrica "cone beam" 7/1/13
Elaborazione di dati volumetrici per applicazioni CBCT NewTom 12/1/11
BrainFit: Trattografia da risonanza in diffusione per la pianificazione radioterapica e chirurgica (PRIN 2009) 10/17/11
Studio della regione infiltrativa tumorale in modelli murini di glioma: sviluppo di tecniche di processamento dati ed analisi d'immagini ad hoc per tecniche avanzate di Risonanza Magnetica - Joint Project 2010 6/1/11



Organization

Department facilities