Curriculum vitæ de Dario Malchiodi – compact

Ce CV contient une sélection des activités que j'ai réalisé au cours de ma carrière universitaire; une version complète et une courte sont aussi disponibles.

Informations personnelles

Dario Malchiodi
Dipartimento di Informatica – Università degli Studi di Milano
Bureau 5015 – Via Celoria 18 – 20133 Milano ITALY
Mail: prenom . nom arobase unimi . it
Web: http://malchiodi.di.unimi.it
téléphone: +39 02 503 16338 – skype: dariomalchiodi

Clé PGP

Position actuelle

Depuis 2011 je suis Professeur associé au Département d'Informatique de l'Université de Milan.

Positions Précédentes

2002 > 2011: Maître de conférences au Département d'Informatique de l'Université de Milan.
2001 > 2002: Chargé de recherche au Département d'Informatique de l'Université de Milan, dans le Laboratoire Réseaux des Neurones.

Éducation

2000: Doctorat en Mathématique computationelle et Recherche Opérationelle, Université de Milan.
1996: Maîtrise (cum laude) en Informatique, Université de Milan.

Activités de recherche

Participaiton à projets de récherche

2019 > 2021: Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond (Ministère Italien de l'enseignement et de la recherche, PRIN) – membre
2016 > 2018: Fostering a correct view of informatics (Université de Milan, PSR) – coordinateur
2012 > 2015: SandS: Social AND Smart (Commission Européenne, Erasmus Programme) – membre
2012 > 2014: VIOPE: Learning computer programming in virtual environment (Commission Européenne, 6th Framework Programme) – membre
2008 > 2013: PASCAL2: Pattern Analysis, Statistical Modelling and Computational Learning (Commission Européenne, 7th Framework Programme) – membre
2005 > 2008: PASCAL: Pattern Analysis, Statistical Modelling and Computational Learning (Commission Européenne, 6th Framework Programme) – membre
2001 > 2003: ORESTEIA: mOdular hybRid artEfactS wiTh adaptivE funtIonAlity (Commission Européenne, 5th Framework Programme) – membre

Adhésion à associations académiques et groupes de recherche

2021 >: Laboratoire CINI Big Data
2020 >: Laboratoire CINI Artificial Intelligence and Intelligent Systems (AIIS)
2020 >: NIH National COVID Cohort Collaborative (N3C)
2020 >: COVID-19 International Research Team
2016 >: Visiting scientis à INRIA/Université de la Côte d'Azur au sein du projet WIMMICS
2019 >: Centre de recherche en Sciences des données de l'Université de Milan
2008 > 2019: Laboratoire ALaDDIn
2002 > 2013: Societé Italienne Réseaux de Neurones

Prix

2018: CSEDU 2018 best poster award (Carlo Bellettini, Fabrizio Carimati, Violetta Lonati, Riccardo Macoratti, Dario Malchiodi, Mattia Monga and Anna Morpurgo, A Platform for the Italian Bebras)
2016: Informatics Europe Best Practices in Education Award (laboratoire ALaDDIn)

Publications

J'ai écrit environ cent articles sur revues et actes de conférences internationales, entre lesquelles les plus importants figurent parmi la liste qui suit.

Blandino et al., 2024: Blandino Alberto, Malchiodi Dario, Zanaboni Anna M., Casali Michelangelo, Spada Claudio et Di Francesco CarlottaFatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?, International Journal of Legal Medicine (2024), en presse
Paravisi et al., 2024: Paravisi Mattia, Visconti Andrea et Malchiodi DarioSecurity Analysis of Cryptographic Algorithms: Hints from Machine Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis et C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 569–580, 2024
Frasson and Malchiodi, 2024: Frasson Marco et Malchiodi DarioSupport Vector Based Anomaly Detection in Federated Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis et C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 274–287, 2024
Malchiodi et al., 2024: Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele et Frasca MarcoThe role of classifiers and data complexity in learned Bloom filters: insights and recommendations, Journal of Big Data 11 - 45 (2024)
Nicolini et al., 2024: Nicolini Marco, Malchiodi Dario, Cabri Alberto, Cavalleri Emanuele, Mesiti Marco, Paccanaro Alberto, Robinson Peter N., Reese Justin, Casiraghi Elena et Valentini GiorgioFine-Tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins, in BIOSTEC 2024 - 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Proceedings, Vol. 1, SCITEPRESS (ISBN 978-989-758-688-0), 561-568, 2024
Valentini et al., 2023: Valentini Giorgio, Malchiodi Dario, Gliozzo Jessica, Mesiti Marco, Soto-Gomez Mauricio, Cabri Alberto, Reese Justin, Casiraghi Elena et Robinson Peter N.The promises of large language models for protein design and modeling, Frontiers in Bioinformatics 3 (2023), 1304099
Marinò et al., 2023: Marinò Giosuè C., Furia Flavio, Malchiodi Dario et Frasca MarcoEfficient and Compact Representations of Deep Neural Networks via Entropy Coding, IEEE Access 11 (2023), 106103—106125
Gliozzo et al., 2024: Gliozzo Jessica, Marinò Giosuè, Bonometti Arturo, Frasca Marco et Malchiodi DarioResource-Limited Automated Ki67 Index Estimation in Breast Cancer, in Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (ICBRA '23), New York, NY, USA: ACM, 165–172, 2024
Ruschioni et al., 2023: Ruschioni Giulia, Malchiodi Dario, Zanaboni Anna M. et Bonizzoni LetiziaSupervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations, Journal of Archaeological Science: Reports 49 (2023), 103995
Malchiodi et al., 2023: Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele et Frasca MarcoA Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials, in L. Iliadis, I. Maglogiannis, S. Alonso Castro, C. Jayne et E. Pimenidis (Eds.), Engineering Application of Neural Networks — 24th International Conference — EAAAI/EANN 2023 — León, Spain, June 14—17, 2023 —Proceedings, Springer Nature, Communications in Computer and Information Science 1826, 47—61, 2023
Marinò et al., 2023a: Marinò Giosuè C., Petrini Alessandro, Malchiodi Dario et Frasca MarcoDeep neural networks compression: a comparative survey and choice recommendations, Neurocomputing 520 (2023), 152—170
Condorelli and Malchiodi, 2022: Condorelli Andrea et Malchiodi DarioDesigning a Master Course on Architectures for Big Data: A Collaboration Between University and Industry, Informatics in Education 4 (2022), 635—653
Zanaboni et al., 2022: Zanaboni Anna M., Malchiodi Dario, Bonizzoni Letizia et Ruschioni GiuliaClassification of Pottery Fragments Described by Concentration of Chemical Elements, in P. L. Mazzeo, E. Frontoni, S. Sclaroff et C. Distante (Eds.), Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022., Vol. 13373, Cham: Springer, Lecture Notes in Computer Science (ISBN 978-3-031-13320-6), 141—151, 2022
Fumagalli et al., 2022: Fumagalli Giacomo, Raimondi Davide, Giancarlo Raffaele, Malchiodi Dario et Frasca MarcoOn the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters, in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods — ICPRAM, SciTePress (ISBN 978-989-758-549-4), 675—682, 2022
Casali et al., 2021: Casali Michelangelo, Malchiodi Dario, Spada Claudio, Zanaboni Anna M., Cotroneo Rosy, Furci Domenico, Sommariva Andrea, Genovese Umberto et Blandino AlbertoA pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles, Journal of Forensics and Legal Medicine 84 (2021), 102256
Bagardi et al., 2021: Bagardi Mara, Locatelli Chiara, Zanaboni Anna M., Galizzi Alberto, Malchiodi Dario et Brambilla Paola G.Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols, Polish Journal of Veterinary Sciences 24 - 1 (2021), 109—118
Esposito et al., 2021: Esposito Andrea A., Casiraghi Elena, Chiaraviglio Francesca, Scarabelli Alice, Stellato Elvira, Plensich Guido, Lastella Giulia, Di Meglio Letizia, Fusco Stefano, Avola Emanuele, Jachetti Alessandro, Giannitto Caterina, Malchiodi Dario, Frasca Marco, Beheshti Afshin, Robinson Peter N., Valentini Giorgio, Forzenigo Laura et Carrafiello GianpaoloArtificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical, and a Qualitative Chest X-Ray Scoring System, Reports in Medical Imaging 14 (2021), 27—39
Galizzi et al., 2021: Galizzi Alberto, Bagardi Mara, Stranieri Angelica, Zanaboni Anna M., Malchiodi Dario, Borromeo Vitaliano, Brambilla Paola G. et Locatelli ChiaraFactors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease, BMC Veterinary Research 17 - 1 (2021), 1—14
Marinò et al., 2021: Marinò Giosuè C., Ghidoli Gregorio, Frasca Marco et Malchiodi DarioReproducing the sparse Huffman Address Map compression for deep neural networks, in B. Kerautret, M. Colom, A. Krähenbühl, Adrien, D. Lopresti, P. Monasse et H. Talbot (Eds.), Reproducible Research in Pattern Recognition, Cham: Springer International Publishing, Lecture Notes in Computer Science 12636, 161—166, 2021
Casiraghi et al., 2020: Casiraghi Elena, Malchiodi Dario, Trucco Gabriella, Frasca Marco, Cappelletti Luca, Fontana Tommaso, Esposito Andrea A., Avola Emanuele, Jachetti Alessandro, Reese Justin, Rizzi Alessandro, Robinson Peter N. et Valentini GiorgioExplainable machine learning for early assessment of COVID-19 risk prediction in emergency departments, IEEE Access 8 (2020), 196299—196325
Marinò et al., 2021a: Marinò Giosué C., Ghidoli Gregorio, Frasca Marco et Malchiodi DarioCompression strategies and space-conscious representations for deep neural networks, in 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, 9835—9842, 2021
Bellettini et al., 2020: Bellettini Carlo, Lonati Violetta, Malchiodi Dario, Monga Mattia et Morpurgo AnnaAlgomotricità: manipolare i fondamenti dell'Informatica, in et E. Nardelli (Ed.), Coding e oltre: l'informatica nella scuola, Chapter , Liscianilibri (ISBN 978-8892810426), 2020
Malchiodi et al., 2020: Malchiodi Dario, da Costa Pereira Célia et Tettamanzi Andrea G.Classifying Candidate Axioms via Dimensionality Reduction Techniques, in V. Torra, Y. Narukawa, J. Nin et N. Agell (Eds.), Modeling Decisions for Artificial Intelligence. 17th International Conference, MDAI 2020 Sant Cugat, Spain, September 2–4, 2020 Proceedings, Cham, Switzerland: Springer, Lecture Notes in Computer Sciencce 12256, 179—191, 2020
Lodi et al., 2019: Lodi Michael, Malchiodi Dario, Monga Mattia, Morpurgo Anna et Spieler BernadetteConstructionist Attempts at Supporting the Learning of Computer Programming: A Survey, Olympiads in Informatics 13 (2019), 99—121
Malchiodi and Zanaboni, 2019: Malchiodi Dario et Zanaboni Anna MariaData-Driven Induction of Shadowed Sets Based on Grade of Fuzziness, in R. Fullér, S. Giove et F. Masulli (Eds.), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Cham: Springer Nature Switzerland AG, Lecture Notes in Artificial Intelligence 11291 (ISBN 978-3-030-12543-1/978-3-030-12544-8), 17—28, 2019
Malchiodi, 2019a: Malchiodi DarioSome Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh, in R. Fullér, S. Giove et F. Masulli (Eds.), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Cham: Springer Nature Switzerland AG, Lecture Notes in Artificial Intelligence 11291 (ISBN 978-3-030-12543-1/978-3-030-12544-8), 240—243, 2019
Malchiodi et al., 2018: Malchiodi Dario, da Costa Pereira Célia et Tettamanzi Andrea G.Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression, in D. Ciucci, G. Pasi et B. Vantaggi (Eds.), Scalable Uncertainty Management. SUM 2018, Cham: Springer, Lecture Notes in Artificial Intelligence 11142 (ISBN 978-3-030-00460-6/978-3-030-00461-3), 2018
Cermenati et al., 2020: Cermenati Luca, Malchiodi Dario et Zanaboni Anna MariaSimultaneous Learning of Fuzzy Sets, in A. Esposito, M. Faundez-Zanuy, M. Morabito et E. Pasero (Eds.), Neural Approaches to Dynamics of Signal Exchanges, Vol. 151, Singapore: Springer, Smart Innovation, Systems and Technologies, 167-175, 2020
Boldi et al., 2018: Boldi Paolo, Frasca Marco et Malchiodi DarioEvaluating the impact of topological protein features on the negative examples selection, BMC Bioinformatics 19 - 14 (2018), 417.115–417.126
Malchiodi and Tettamanzi, 2018: Malchiodi Dario et Tettamanzi Andrea G.Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering, in H. Haddad, R. L. Wainwright et R. Chbeir (Eds.), SAC'18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, ACM (ISBN 9781450351911), 1984–1991, 2018
Ludovico et al., 2017: Ludovico Luca A., Malchiodi Dario et Zecca LuisaA Multimodal LEGO®-based Learning Activity Mixing Musical Notation and Computer Programming, in MIE 2017 Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, ACM (ISBN 978-1-4503-5557-5), 44–48, 2017
Frasca et al., 2019: Frasca Marco, Fontaine Jean F., Valentini Giorgio, Mesiti Marco, Notaro Marco, Malchiodi Dario et Andrade-Navarro MiguelDisease-Genes Must Guide Data Source Integration in the Gene Prioritization Process, in M. Bartoletti, A. Barla, A. Bracciali, G. W. Klau, L. Peterson, A. Policriti et R. Tagliaferri (Eds.), Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2017, Cham: Springer, Lecture Notes in Computer Science 10834 / Lecture Notes in Bioinformatics 10834 (ISBN 978-3-030-14159-2/978-3-030-14160-8), 60—69, 2019
Lonati et al., 2017a: Lonati Violetta, Malchiodi Dario, Monga Mattia et Morpurgo AnnaLearning Greedy Strategies at Secondary Schools: An Active Approach, in A. Sforza et C. Sterle (Eds.), Optimization and Decision Science: Methodologies and Applications, Springer, Proceedings in Mathematics & Statistics (ISBN 978-3319673973), 223–231, 2017
Lonati et al., 2017c: Lonati Violetta, Malchiodi Dario, Monga Mattia et Morpurgo AnnaNothing to fear but fear itself: introducing recursion in lower secondary schools, in International Conference on Learning and Teaching in Computing and Engineering (LATICE), 2017, IEEE (ISBN 9781538608920), 91–98, 2017
Frasca et al., 2017a: Frasca Marco, Lipreri Fabio et Malchiodi DarioAnalysis of Informative Features for Negative Selection in Protein Function Prediction, in I. Rojas et F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II, Vol. 10209, 2017
Bellettini et al., 2015a: Bellettini Carlo, Lonati Violetta, Malchiodi Dario, Monga Mattia, Morpurgo Anna et Torelli MauroHow Challenging are Bebras Tasks? An IRT analysis based on the performance of Italian students, in ITiCSE '15 Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, New York: ACM (ISBN 9781450334402), 27-32, 2015
Frasca and Malchiodi, 2016: Frasca Marco et Malchiodi DarioSelection of Negative Examples for Node Label Prediction through Fuzzy Clustering Techniques, in S. Bassis, A. Esposito, F. C. Morabito et E. Pasero (Eds.), Advances in Neural Networks: Computational Intelligence for ICT, Springer International Publishing (ISBN 978-3-319-33747-0), 67-76, 2016
Bellettini et al., 2014: Bellettini Carlo, Lonati Violetta, Malchiodi Dario, Monga Mattia, Morpurgo Anna, Torelli Mauro et Zecca LuisaInformatics Education in Italian Secondary School, ACM Transactions on Computing Education (TOCE) – Special Issue on Computing Education in (K-12) Schools 14 - 2 (2014), 15.1–15.6
Malchiodi and Pedrycz, 2013: Malchiodi Dario et Pedrycz WitoldLearning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering, in F. Masulli, G. Pasi et R. Yager (Eds.), Fuzzy Logic and Applications. 10th International Workshop, WILF 2013, Genoa, Italy, November 19–22, 2013. Proceedings., Vol. 8256, Springer International Publishing, Switzerland, Lecture Notes on Artificial Intelligence (ISBN 978-3-319-03199-6), 52–59, 2013
Apolloni et al., 2013: Apolloni Bruno, Malchiodi Dario et Taylor John G.Learning by Gossip: A Principled Information Exchange Model in Social Networks, Cognitive Computation 5 - 3 (2013), 327-339

Organisation d'activités éditoriales et scientifiques

Organization de conférences

2017 > 2023: Membre du comité de programme de DSIR: International Conference on Data Science and Institutional Research
2011: Membre du comité d'organisation de INFOCULT 2011
2011: Membre du comité de programme de KES2011
2010: Membre du comité de programme de ECML PKDD 2010 (European Conference on Machine Learning / Principles and Practice of Knowledge Discovery in Databases)

Tutoriels, workshops, panels et sessions spéciales

2023: Chair de la session CLASSIFICATION / SECURITY / ETHOLOGY, dans EANN2023
2018: Speaker dans la table ronde Zadeh and the Future of Fuzzy Logic, dans WILF2018
2018: Chair de la session Computational systems for modelling biological processes, dans IWBBIO2017
2013: Speaker dans le panel Computational Intelligence Methods for Big Data Analysis, dans WILF2013
2007: Chair de la session spéciale Learning from uncertain data, dans KES2007/WIRN2007

Membre de comité de rédaction de revues internationales

2008 >: International Journal of Computational Intelligence Studies
2010 > 2018: Mathematics and Computers in Simulation
2010 > 2014: Intelligent decision technologies

Révisions pour revues, conférences et projets

Revues

Applied Sciences – BMC Bioinformatics – Computers and Operations Research – Data Science and Engineering – Engineering Science and Technology, an International Journal – IEEE Access – IEEE Transactions on Fuzzy Systems – IEEE Transactions on Neural Networks – Information Sciences – Journal of Fuzzy Optimization and Decision Making – Mathematics and Computers in Simulation – Neural Computing and Applications – Neural Networks – Neurocomputing – RAIRO – Theoretical Informatics and Applications – Scientific Reports – Theoretical Computer Science

Conférences

CSTST: International Conference on Soft Computing as Transdisciplinary Science and Technology – DSIR: International Conference on Data Science and Institutional Research – FUN: International Conference on Fun with Algorithms – HIS: International Conference on Hybrid Intelligent Systems – ICANN/ICONIP: Joint 13th International Concerence on Artificial Neural Networks and 10th International Conference on Information Processing – ICTAI: IEEE International Conference on Tools with Artificial Intelligence – IJCNN: IEEE International Joint Conference on Neural Networks – IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems – ISSEP: International Conference on informatics in Schools. Situation, Evolution and Perspectives and Automation – IWBBIO: International Work-Conference on Bioinformatics and Biomedical Engineering and Automation – SOFSEM: International Conference on Current Trends in Theory and Practice on Computer Science – STACS2003: 20th International Symposium on Theoretical Aspects of Computer Science – The Web Conference – WCCI: IEEE World Congress on Computational Intelligence – WCICA: IEEE World Congress on Intelligent Control and Automation

Projets

2022: PhD program – Università degli Studi di Palermo (réviseur)
2021: Research funding scheme A 2020/21 – Université de Mauritius (réviseur)
2019: Research funding scheme B 2019/20 – Université de Mauritius (réviseur)
2019: Bando straordinario per progetti interdipartimentali (SEED) – Université de Milan (réviseur)
2014: SIR 2014 (Scientific Independence of young Researchers) – Ministère Italien pour l'education, l'université et la recherche (réviseur et rapporteur)

Enseignements

Activités courantes

2020-21 > 2023-24: Algorithmes pour megadonnées (DSE), Master en Data science and economics, Università degli Studi di Milano (20 heures, 3 crédits) – en anglais
2019-20 > 2023-24: F94-156: Algorithmes pour megadonnées, Master en Informatique, Università degli Studi di Milano (48 heures, 6 crédits) – en anglais
2015-16 > 2023-24: F1X-97: Statistique et analyse des données, Licence en Informatique, Università degli Studi di Milano (60 heures, 6 crédits) – 48 heures jusqu'au 2016/17 (en commun avec les licences en Informatique pour la communication numérique et en Informatique musicale), 60 heures à partir du 2017/18

Activités passées

2023-24: R18-120: Deep learning in bioinformatics, Doctorat en Informatique, Università degli Studi di Milano (4 heures) – en anglais
2023-24: R18-124: Efficacy and efficiency evaluation of machine learning models, Doctorat en Informatique, Università degli Studi di Milano (10 heures) – en anglais
2012-13 > 2018-19: F94-80: Analyse de megadonnées, Master en Informatique, Università degli Studi di Milano (48 heures, 6 crédits)
2018-19: M4103C: Bases des données avancées, DUT en Statistique et informatique décisionnelle, Université de la Côte d'Azur (38 heures) – en français
2018-19: M4101: Data mining, DUT en Statistique et informatique décisionnelle, Université de la Côte d'Azur (18 heures) – en français
2017-18: R18-40: Analyse de données multidimensionnelles, Doctorat en Informatique, Università degli Studi di Milano (10 heures) – en anglais
2006-07 > 2016-17: F94-12: Simulation, Master en Informatique, Università degli Studi di Milano (24 heures, 3 crédits) – édition annuelle jusqu'au 2008/09 et tous les deux ans à partir du 2012/13
2015-16: B62-59: Big data and digital methods, Master Communication publique et d'entreprise, Università degli Studi di Milano (40 heures, 3 crédits) – en anglais
2011-12 > 2015-16: F4Y-72: Programmation 3, Master en Mathématique, Università degli Studi di Milano (21 heures, 3 crédits) – tous les deux ans
2010-11 > 2014-15: F3X-34: Systèmes d'exploitation, Licence en Informatique musicale, Università degli Studi di Milano (48 heures, 6 crédits) – entre 2011/12 et 2013/14 valable aussi pour la licence en Communication numérique, dans le 2014/15 valable aussi pour la licence en Informatique pour la communication numérique
2011-12: F3X-36: Programmation 1, Licence en Informatique musicale, Università degli Studi di Milano (72 heures, 9 crédits)
2010-11: F1Y-35: Génie logiciel, Master en Informatique pour la communication, Università degli Studi di Milano (48 heures, 6 crédits)
2003-04 > 2009-10: F2X-54: Laboratoire de programmation 1, Licence en Informatique musicale, Università degli Studi di Milano (48 heures, 3 crédits)
2006-07 > 2009-10: F88011: Systèmes pour l'élaboration de l'information 2, Master en Mathématique, Università degli Studi di Milano (24 heures, 4 crédits)

Nominations académiques

2022: Coordonnateur du comité pour l'accès des étudiants étrangers au master en Informatique de l'Université de Milan.
2020 > 2021: Membre du comité pour l'accès des étudiants étrangers au master en Informatique de l'Université de Milan.
2020: Membre du comité pour l'accès au cours de spécialisation de deuxième niveau en bioinformatique et génomique fonctionnelle de l'Université de Milan.
2017 > 2018: Membre du comité d'organisation du cours de spécialisation en Science des données pour l'économie, le business et la finance de l'Université de Milan.
2013 > 2017: Coordonnateur de la commission pour l'orientation des étudiants de la Facolté di Sciences et Tecnnologies de l'Université de Milan.
2012 > 2017: Directeur adjoint du Département d'Informatique de l'Université de Milan pour les activités liées à la promotion et au counselling pour les futurs étudiants.
2010 > 2017: Coordonnateur du comité pour les futur étudiants en informatique, Faculté de Sciences, Université de Milan.
2013 > 2015: Membre du comité des Spécialisations pour l'Enseignement de Mathématique, Physique et Informatique, Université de Milan.
2013 > 2014: Membre du groupe de travail sur l'orientation des étudiants du Conseil Scientifique de l'Université de Milan.