Alessandro Daducci

Photo,  November 4, 2016
Position
Associate Professor
Academic sector
ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING
Research sector (ERC)
PE8_4 - Computational engineering

Office
Ca' Vignal 2,  Floor 1,  Room 47
Telephone
+39 045 8027025
Fax
+39 045 8027068
E-mail
alessandro|daducci*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Per appuntamenti, proposte di progetti, tesi e stage, si prega di inviare un'email per concordare data e ora dell'appuntamento.

Curriculum
  • pdf   CV   (pdf, en, 253 KB, 30/09/20)

Modules

Modules running in the period selected: 23.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's degree in Medical Bioinformatics Biomedical image processing (2021/2022)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Bioinformatics Signal and image processing II (2021/2022)   6  eLearning (Teoria)
(Laboratorio)
Master's degree in Medical Bioinformatics Medical imaging techniques: principles and applications (2021/2022)   6   
Master's degree in Medical Bioinformatics Biomedical image processing (2020/2021)   6  eLearning (Teoria)
(Laboratorio)
Bachelor's degree in Bioinformatics Signal and image processing II (2020/2021)   6  eLearning (Teoria)
(Laboratorio)
PhD in Computer Science Advanced image processing for robust brain connectivity analysis (2020/2021)   2  eLearning
Master's degree in Medical Bioinformatics Biomedical image processing (2019/2020)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Bioinformatics Signal and image processing for bioinformatics (2019/2020)   12  eLearning (Immagini laboratorio)
(Immagini teoria)
PhD in Computer Science Attività didattica dottorato (2019/2020)   50  eLearning
Master's degree in Medical Bioinformatics Biomedical image processing (2018/2019)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Bioinformatics Signal and image processing for bioinformatics (2018/2019)   12  eLearning (Immagini laboratorio)
(Immagini teoria)
Master's degree in Medical Bioinformatics Biomedical image processing (2017/2018)   6  eLearning
Bachelor's degree in Bioinformatics Signal and image processing for bioinformatics (2017/2018)   12  eLearning (Immagini)
Master's degree in Medical Bioinformatics Biomedical image processing (2016/2017)   6  eLearning
Master's degree in Computer Science and Engineering Human-computer Interaction (2016/2017)   6  eLearning

 

Research groups

Biomedical Imaging
The Biomedical Imaging Group is active in Experimental and Translational Biomedical Imaging, with main focuses on Magnetic Resonance and Optical Imaging. The lab is equipped with a MRI Tomograph (Bruker, Biospec 4.7 T) and with an Optical Images (IVIS Spectrum, PerkinElmer).
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
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
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. Machine Intelligence
Machine learning
Projects
Title Starting date
Creazione di Unità di Natural Food Discovery 9/15/09
Homing e destino di isole pancreatiche e cellule staminali mesenchimali trapiantate nel ratto studiati in vivo tramite Tomografia a Risonanza Magnetica e Imaging Ottico (PRIN 2007) 9/22/08
Studio in vitro ed in vivo dell'impatto di nanoparticelle su caratteristiche biologiche di cellule e tessuti 1/4/08
Web-based interface to Bruker ParaVision® MRI images 1/1/08




Organization

Department facilities