Manuele Bicego

Manuele Bicego,  February 6, 2015
Position
Associate Professor
Academic sector
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Research sector (ERC)
PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation

PE6_8 - Computer graphics, computer vision, multi media, computer games

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

Office
Ca' Vignal 2,  Floor 1,  Room 55
Telephone
+39 045 802 7072
Fax
+39 045 802 7068
E-mail
manuele|bicego*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
http://profs.sci.univr.it/~bicego

Office Hours

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Curriculum

Modules

Modules running in the period selected: 16.
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 Computational analysis of biological structures and networks (2017/2018)   6   
Bachelor's degree in Bioinformatics Data management and retrieval for bioinformatics (2017/2018)   12    RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2016/2017)   6   
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2016/2017)   12  eLearning (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2015/2016)   12    (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2014/2015)   12    (Teoria)
(Laboratorio)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2013/2014)   12    (Laboratorio)
(Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2012/2013)   12    (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2011/2012)   12    (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2010/2011)   12   
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2009/2010)   12    12 
Bachelor's degree in Bioinformatics (until 2008-2009) Algorithms and Data Structures (2008/2009)   10    Laboratorio
Bachelor's degree in Bioinformatics (until 2008-2009) Information recovering (2008/2009)   5   
Bachelor in Information Technology: Multimedia Systems and Signals (2002/2003)   7      Laboratorio

 

Research groups

Visione ed elaborazione delle immagini e suoni (VIPS - Vision, Image Processing & Sound)
Computer Vision and Pattern Recognition, Image Processing, and Sound Analysis & Processing
Skills
Topic Description Research area
Bioinformatics and Computational Biology Design and testing of Pattern Recognition and Machine Learning techniques for the analysis and understanding of biological data. In particular the main focus in on designing solutions for the analysis of "counting data" - namely data which express the level of presence of entities (e.g. gene expression data, or proteomics data) - using probabilistic graphical models like topic models. The main goal is to devise highly interpretable solutions, being interpretability of methods and solutions the most stringent need in nowadays bioinformatics research. Bioinformatica e informatica medica
Applied computing - Life and medical sciences
Computer Vision Investigation of computational tools for the analysis of images and videos, with main goal of extracting useful information. In particular, 2D/3D object classification, 3D reconstruction, person detection and classification, video analysis and understanding, activity recognition, and in biometrics (face recognition and authentication, facial feature extraction, multimodal biometrics, behavioural biometrics) with application in video surveillance and biomedical image analysis. Sistemi intelligenti
Computing methodologies - Artificial intelligence
Pattern Recognition The main focus is on the study and development of automatic techniques and models able to extract information from real world data, typically in terms of classes or clusters. Special attention is on probabilistic models - like Hidden Markov Models, Mixtures, Topic Models - and on kernel machines - like Support Vector Machines. In these contexts the interest is in designing novel models/methodologies, like hybrid generative-discriminative methods, generative embeddings and kernels, novel classification or clustering schemes, model selection techniques and others. The focus is on reasoning on representation issues (how to extract features, how to process the original problem space) as well as on unconventional employment of standard techniques (like boosting or SVM for clustering). Another field of interest is the processing of sequential data (using for example Hidden Markov Model). Sistemi intelligenti
Computing methodologies - Machine learning
Projects
Title Starting date
Investigation of advanced Hidden Markov Models-related techniques for the analysis of seismic signals from multiple volcanos - CooperInt 2010 10/8/11
Analisi e classificazione di comportamenti sociali mediante modelli grafici probabilistici generativi (PRIN 2008) 1/27/10
SIMBAD - Similarity-Based Pattern Analysis and Recognition 4/1/08