Marco Cristani

Marco 100.114,  March 1, 2023
Position
Full Professor
Sections
Ingegneria e Fisica
Academic sector
IINF-05/A - Information Processing Systems
Research sector (ERC-2024)
PE6_7 - Artificial intelligence, intelligent systems, natural language processing

PE6_8 - Computer graphics, computer vision, multimedia, computer games

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

Research sector (ERC)
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems

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 52
Telephone
+39 045 802 7841
E-mail
marco|cristani*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
https://intelligolabs.net/

Office Hours

Tuesday, Hours 2:00 PM - 5:00 PM,   Ca' Vignal 2, Floor 1, room 52

Curriculum

The main research interests and skills of Prof. Cristani concern pattern recognition and automatic and deep learning, computer vision and classification, image and video sequences processing, prediction and forecasting.
 
In particular:
  • The focus of his research is now on forecasting or prediction, through which it is possible to predict the trend and values ​​of a signal. Specifically, it deals with multimodal prediction, in which the signal to be predicted is not a simple numerical series, but also an image or a video. For example, predicting the market impact of a particular dress or fabric will be within her research fields. For this, prof. Cristani deals with latent representations and embedding spaces, in the field of machine and deep learning.
  • Prof. Cristani deals with the processing of social signals for the analysis of human behavior, with the main applications relating to surveillance and security, human-human and human-machine interaction, environmental intelligence and the retailing sector. Specifically, it deals with the detection of behavior in unsupervised environments, with a specific focus on the detection of social groups.
Research activities are carried out in the context of community, national and industrial projects in direct collaboration with other universities, research centers and companies.
 

Modules

Modules running in the period selected: 63.
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 Human Centered Medical System Engineering Artificial Intelligence (2024/2025)   6  eLearning (Teoria)
Master's Degree in in Computer Engineering for Intelligent Systems Data management and machine intelligence (2024/2025)   12  eLearning DEEP LEARNING
Bachelor's degree in Human Centered Medical System Engineering Development and life cycle of software of artificial intelligence software (2024/2025)   1   
Bachelor's degree in Computer Science Signal and image processing (2024/2025)   6  eLearning (Teoria)
Bachelor's degree in Human Centered Medical System Engineering Artificial Intelligence (2023/2024)   6  eLearning (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Deep Learning (2023/2024)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Computer Science and Engineering Fundamentals of Machine Learning (2023/2024)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Computer Science Signal and image processing (2023/2024)   6  eLearning (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Deep Learning (2022/2023)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Computer Science and Engineering Fundamentals of Machine Learning (2022/2023)   6  eLearning (Teoria)
(Laboratorio)
Bachelor's degree in Computer Science Signal and image processing (2022/2023)   6  eLearning (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Deep Learning (2021/2022)   6  eLearning (Teoria)
(Laboratorio)
Master's degree in Computer Science and Engineering Fundamentals of Machine Learning (2021/2022)   6  eLearning (Teoria)
(Laboratorio)
Bachelor's degree in Computer Science Signal and image processing (2021/2022)   6  eLearning (Teoria)
Master's degree in Computer Science and Engineering Advanced recognition systems (2020/2021)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Computer Science and Engineering Fundamentals of Machine Learning (2020/2021)   6  eLearning (Teoria)
(Laboratorio)
Bachelor's degree in Computer Science Signal and image processing (2020/2021)   6  eLearning (Teoria)
Master's degree in Computer Science and Engineering Advanced recognition systems (2019/2020)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Computer Science Signal and image processing (2019/2020)   6  eLearning [I turno] (Laboratorio)
(Teoria)
[II turno] (Laboratorio)
Master's degree in Computer Science and Engineering Advanced recognition systems (2018/2019)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Computer Science Signal and image processing (2018/2019)   6  eLearning (Teoria)
[Secondo turno] (Laboratorio)
[Primo turno] (Laboratorio)
Master's degree in Computer Science and Engineering Advanced recognition systems (2017/2018)   6  eLearning
Master's degree in Computer Science and Engineering Human-computer Interaction (2017/2018)   6  eLearning
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2017/2018)   6  eLearning
Professional Master's programme in Computer game development Fundamentals of Artificial Intelligence (2017/2018)   2   
Master's degree in Computer Science and Engineering Advanced recognition systems (2016/2017)   6   
Master's degree in Medical Bioinformatics Computational analysis of biological structures and networks (2016/2017)   6   
Master's degree in Computer Science and Engineering Human-computer Interaction (2016/2017)   6  eLearning
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2016/2017)   6   
Master's degree in Computer Science and Engineering Advanced recognition systems (2015/2016)   6   
Master's degree in Computer Science and Engineering Human-computer Interaction (2015/2016)   6   
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2015/2016)   6   
Master's degree in Computer Science and Engineering Advanced recognition systems (2014/2015)   6   
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2014/2015)   6   
Master's degree in Computer Science and Engineering Advanced recognition systems (2013/2014)   6   
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2013/2014)   6   
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2012/2013)   12    (Laboratorio)
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2012/2013)   6   
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2011/2012)   12    (Laboratorio)
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2011/2012)   6   
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2010/2011)   6   
Master's degree in Computer Science and Engineering Advanced recognition systems (2009/2010)   6   
Master's degree in Computer Science and Engineering Machine Learning & Pattern Recognition (2009/2010)   6   
Masters in Intelligent and Multimedia Systems Human-computer Interaction Complements (2008/2009)   5   
Masters in Publishing and Multimedia Communication (until 2007-2008) Communication and interaction (s) (2007/2008)   6   
Masters in Intelligent and Multimedia Systems Human-computer Interaction Complements (2007/2008)   5   
Masters in Publishing and Multimedia Communication (until 2007-2008) Communication and interaction (s) (2006/2007)   6   
Master's degree in Nursing and Obstetrics Epidemiology and statistics (2006/2007)   8    Informatica applicata
Masters in Publishing and Multimedia Communication (until 2007-2008) Communication and interaction (s) (2005/2006)   6   

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Research groups

Networked Systems and Technologies
Design and verification of communication technologies capable of bringing efficiency and sustainability to key applications such as industry, agriculture, building automation, transport and land management.
Sistemi intelligenti e analisi di dati
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
Computer forensics Accanto a discipline classiche quali il tracking e l'object detection per la sorveglianza, l'interesse è centrato su social signal processing. In questo settore l'obiettivo è di riuscire a catturare sotto forma di features i segnali sociali, ossia quei segnali che l'essere umano usa, spesso inconsciamente, per comunicare in maniera puramente non verbale con l'ambiente esterno (persone, interfacce). Tutto questo si traduce in parole chiavi quali feature design, feature learning, socially-driven features, social psychology models, proxemics, data fusion. Le applicazioni risultanti trovano naturalmente spazio nella sorveglianza, ma anche in ambito medico e multimediale. Intelligent systems and analytics
Sistemi intelligenti e analisi di dati
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. Intelligent systems and analytics
Sistemi intelligenti e analisi di dati
Sistemi avanzati per il riconoscimento Due sono gli ambiti principali di ricerca: 1) studio di descrittori di basso livello per addestrare classificatori avanzati; in questo caso, l'idea è di progettare descrittori compatti e informativi per l'object recognition e detection. Particolare enfasi viene data allo studio di descrittori giacenti su spazi non euclidei, come varietà Riemanniane, manipolando nozioni di Information Geometry 2) studio di tecniche di classificazione ibride generative e discriminative; qui l'obiettivo è di sfruttare le caratteristiche vincenti dei modelli generativi (misture di Gaussiane, modelli di Markov a stati nascosti, topic models) e dei modelli discriminativi (Support Vector Machines) combinandole attraverso meccanismi di embedding. In tal maniera, le misure di bontà dei classificatori risultanti superano quelle dei modelli di partenza. Intelligent systems and analytics
Sistemi intelligenti e analisi di dati
Video Surveillance and Monitoring This research aims at the analysis of people and the interpretation/recognition of human activities, possibly at the detection and prediction of events in unconstrained scenes, at individual, group and crowd level. In particular, the main target is on the analysis of nonverbal human behaviour, activities, and dialogue classification by considering vocal behavior, face & gazing, gesture & posture, space & environment. More specifically, the focus is on tracking and re-identification, object/person detection and classification, human pose estimation and activity recognition, automatic PTZ camera control, subjective surveillance, mobile sensing, data fusion. Intelligent systems and analytics
Sistemi intelligenti e analisi di dati
Projects
Title Starting date
Studio e sperimentazione di tecniche per l’adattamento a nuovi domini di sistemi di riconoscimento automatico. 10/26/20
SAFE PLACE Sistemi IoT per ambienti di vita salubri e sicuri 9/10/20
Studio e sviluppo di metodi per l’adattamento di sistemi di riconoscimento a nuovi contesti operativi 4/14/20
EDIPO: A computational solution for bringing neuroimaging genetic into translational research 4/1/20
Creazione di un dataset per la stima della posa 3D di oggetti a partire da immagini 2D 3/9/20
Studio di tecniche di domain adaptation e loro applicazioni 10/15/19
I-MALL - improving the customer experience in stores by intelligent computer vision 8/29/19
Stato dell’arte sulla detection ed il clustering di volti, basato su analisi video 6/14/19
Sviluppo di un sistema di stima della posa basato su corrispondenze fra immagini 2D e modelli 3D, per l’inizializzazione e il tracking di oggetti 2/27/19
SARAS - Smart Autonomous Robotic Assistant Surgeon 1/1/18
Computer Engineering for Industry 4.0 1/1/18
Sistema domotico IOT integrato ad elevata sicurezza 11/7/17
Study and development of image analysis methods for automatic shape extraction in industrial processing processes 7/1/17
Analysis and design of similarity measures between materials based on textures and color 5/2/17
Studio e sviluppo di metodi di visione artificiale applicati al processo di lavorazione del marmo 4/3/17
PHOTO2FIT: Automatic street-to-shop recommender system 4/1/17
Semantica documentale avanzata (ADOSEM) 7/15/16
Servizi di progettazione dei totem multimediali interattivi, nell'ambito del progetto di realizzazione del percorso culturale ciclo-pedonale denominato "Alta Via della montagna veronese" che collega il sistema ambientale del monte Baldo con quello della Lessinia, attraversando i territori di tredici Comuni da San Zeno di Montagna fino alla frazione di Bolca in Comune di Vestanova per la lunghezza di 110 km 12/28/15
Studio, sviluppo ed implementazione embedded di algoritmi di classificazione e tracking di pedoni e di cellule ematiche 10/27/15
SCENEUNDERLIGHT - Time-lapse understanding of the static and human scene and its lighting 10/1/15
Studio e sviluppo di algoritmi per il tracking di persone in tempo reale 4/27/15
Studio e sviluppo di un sistema di visione per il controllo processo di macchine industriali 2/25/15
Sviluppo di un algoritmo per il riconoscimento e il tracking di veicoli in FPGA 1/1/14
EXternal-InTernal Vision Based Driving Assistance System 1/1/14
Metodi Automatici per la Video Analisi del Traffico Leucocitario 11/11/13
Algoritmo di analisi di presenza di eventi di interesse per la folla 4/4/13
Algoritmo di analisi di raggruppamenti di persone all'interno di una folla 4/4/13
Sviluppo di algoritmi di immagini su FPGA 10/15/12
Analisi e classificazione di comportamenti sociali mediante modelli grafici probabilistici generativi (PRIN 2008) 1/27/10
SAMURAI - Suspicious and abnormal Behaviour monitoring using a network of cameras and sensor for situation awareness enhancement 6/1/08
SIMBAD - Similarity-Based Pattern Analysis and Recognition 4/1/08
Metodi generativi e discriminativi per classificazione e clustering di dati (PRIN 2006) 2/9/07
Tecniche di analisi e sintesi multimodale per la realtà aumentata e l'interazione uomo–macchina 7/1/04
ARROV - Augmented Reality for Remotely Operated Vehicles based on 3D acoustical and optical sensors for underwater inspection and survey (project no. GRD1-2000-25409) 1/1/01




Chair

Marco Cristani
Office Collegial Body
member Collegio dei Docenti del Dottorato in Ingegneria dei Sistemi Intelligenti - Department Department of Engineering for Innovation Medicine
member Computer Science Teaching Committee - Department Computer Science
member Information Engineering Teaching Committee - Department Department of Engineering for Innovation Medicine
member Comitato Scientifico del Master in Computer game development - Department Computer Science
Comitato Scientifico del Master Universitario in Digital Content Creation (I livello) - Department Computer Science
member Commissione AQ RICERCA - Consiglio di Dipartimento Ingegneria per la Medicina di Innovazione - Department Department of Engineering for Innovation Medicine
member Commissione Proprietà Industriale e Intellettuale e Spin off
Componente Commissione Valutazione Cv Candidati - incarichi didattici e tutorato COMMISSIONE VALUTAZIONE CV CANDIDATI - INCARICHI DIDATTICI E TUTORATO - Referenti del Dipartimento di Ingegneria e medicina di Innnovazione - Department Department of Engineering for Innovation Medicine
member Consiglio di Dipartimento Ingegneria per la Medicina di Innovazione - Department Department of Engineering for Innovation Medicine
member I e II Fascia - Consiglio di Dipartimento Ingegneria per la Medicina di Innovazione - Department Department of Engineering for Innovation Medicine
componente (in composizione ristretta) I Fascia - Consiglio di Dipartimento Ingegneria per la Medicina di Innovazione - Department Department of Engineering for Innovation Medicine
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