Manuele Bicego

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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
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

A partire da Gennaio 2023: su appuntamento da concordare via email
Starting from January 2023: please send an email to schedule

Curriculum

La ricerca di Manuele Bicego si focalizza principalmente sulla Statistical Pattern Recognition, una disciplina che mira a studiare e sviluppare tecniche, algoritmi e modelli per l’analisi di dati reali, tipicamente caratterizzati in termini di classi o gruppi (categorie). In questo contesto Manuele Bicego ha prodotto contributi sia metodologici che applicativi, legati a diversi contesti, quali l’analisi di immagini e segnali, la biometria e, in maniera preponderante, la bioinformatica (analisi di dati di espressione genica, proteomica, metabolomica).
L’intensa attività scientifica in questi contesti è confermata dalle numerose pubblicazioni in importanti riviste e conferenze internazionali, dai premi e riconoscimenti ricevuti, dalla continua attività editoriale e di revisione, dalla partecipazione a vari progetti di ricerca finanziati, e dalle numerose collaborazioni instaurate con diversi centri di ricerca, corroborate da periodi anche lunghi di soggiorni e scambi.
Per maggiori informazioni si veda la pagina http://profs.sci.univr.it/~bicego
 

Modules

Modules running in the period selected: 40.
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 Machine learning for biological structures and networks (2022/2023)   6  eLearning 4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Bioinformatics Pattern recognition and Signal and image Processing in Bioinformatics (2022/2023)   12  eLearning 4  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Teoria)
2  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Laboratorio)
Bachelor's degree in Computer Science Signal and image processing (2022/2023)   6  eLearning 2  (Laboratorio)
Master's degree in Medical Bioinformatics Machine learning for biological structures and networks (2021/2022)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Bioinformatics Pattern recognition and Signal and image Processing in Bioinformatics (2021/2022)   12  eLearning 4  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Teoria)
2  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Laboratorio)
Bachelor's degree in Computer Science Signal and image processing (2021/2022)   6  eLearning 2  [I turno] (Laboratorio)
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2020/2021)   6  eLearning 2  (Laboratorio)
4  (Teoria)
Bachelor's degree in Bioinformatics Pattern recognition and Signal and image Processing in Bioinformatics (2020/2021)   12  eLearning 2  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Laboratorio)
4  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Teoria)
PhD in Computer Science Advanced topics in Unsupervised Pattern Recognition (2020/2021)   2    2 
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2019/2020)   6    4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Bioinformatics Data management and retrieval for bioinformatics (2019/2020)   12  eLearning 4  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Teoria)
2  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Laboratorio)
PhD in Computer Science Doctoral lessons (2019/2020)   50  eLearning 1 
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2018/2019)   6    4  (Teoria)
2  (Laboratorio)
Bachelor's degree in Bioinformatics Data management and retrieval for bioinformatics (2018/2019)   12  eLearning 2  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Laboratorio)
4  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA (Teoria)
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2017/2018)   6    6 
Bachelor's degree in Bioinformatics Data management and retrieval for bioinformatics (2017/2018)   12  eLearning 6  RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2016/2017)   6    5 
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2016/2017)   12  eLearning 8  (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2015/2016)   12    9  (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2014/2015)   12    9  (Teoria)
3  (Laboratorio)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2013/2014)   12    9  (Teoria)
3  (Laboratorio)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2012/2013)   12    9  (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2011/2012)   12    9  (Teoria)
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2010/2011)   12    9 
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    2  Laboratorio
Bachelor's degree in Bioinformatics (until 2008-2009) Information recovering (2008/2009)   5    5 
Bachelor in Information Technology: Multimedia Systems and Signals (2002/2003)   7      Laboratorio

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Research groups

Algorithmic Bioinformatics and Natural Computing
Application of theoretical methods and data analysis to model information underlying biological processes: graph and string algorithms for systems biology; advanced data structures for sequence data; distance measures for biological sequences; natural (biotechnological, membrane) computing; pattern recognition, machine learning for biomedical data.
Research interests
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. Bioinformatics and medical informatics
Life and medical sciences
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). Machine Intelligence
Machine learning
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. Machine Intelligence
Artificial intelligence
Projects
Title Starting date
Beyond the Bag of Words paradigm: a structural and statistical perspective 3/1/17
BeBoW - Beyond the Bag of Words paradigm: a structural and statistical perspective 3/1/17
INTCATCH- Development and application of Novel, Integrated Tools for monitoring and managing Catchments 6/1/16
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



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