May 2025 - Musawp1 - di.unimi.it

REMINDER Plenaria WP1 giovedì 22 maggio h9
by Francesco Zavatarelli 20 May '25

20 May '25

*Buongiorno a tutti. **Rimando il reminder per la call della Plenaria WP1 (progetto MUSA) fissata per **giovedì **22 maggio h9**.* Il focus sarà sui *deliverable *da consegnare per il prossimo report scientifico. Per il deliverable potete fare upload nello spazio di Teams o più semplicemente spedire a questa mail. Segnalo che si sta avvicinando la deadline per la consegna. Quindi vi chiedo di provvedere a preparare/spedire i deliverable già pronti per essere inclusi nel report scientifico. La presentazione principale sarà sul pilot 1.2.3 (Federated Learning). · *LINK della call* https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmU5NzU5OGQtYzY5MS00… grazie della collaborazione cordiali saluti -- Francesco Zavatarelli

1 0

[ITADATA2025] (Tutorial/demo/workshop/panel: Submission Deadline Extended: June 30, 2025)
by Antongiacomo Polimeno 15 May '25

15 May '25

*Tutorial/demo/workshop/panel: submission deadline extended to June 30th, 2025* 4TH ITALIAN CONFERENCE ON BIG DATA AND DATA SCIENCE (ITADATA 2025) September 9-11, 2025, Turin, Italy https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.itada… ***SPECIAL ISSUE*** The best accepted papers will be invited to submit an extended version of the paper to a Q1/Q2 journal (TBC). ***ABOUT*** The Italian Conference on Big Data and Data Science (ITADATA2025), at its fourth edition, is the annual event supported by the CINI Data Science National Laboratory that aims to put together Italian researchers and professionals from academia, industry, government, and public administration working in the field of big data and data science, as well as related fields (e.g., security and privacy, HPC, Cloud). The conference will be structured into a main research track on big data and data science and complemented with tutorials/demos on specific solutions and prototypes developed by industries, research centers and universities, and thematic workshops on specific verticals of big data and data science. The conference will also feature selected distinguished keynote speeches and some panels. ITADATA2025 aims to discuss and shape the future of Big Data and Data Science in Italy and abroad, considering the multidisciplinary, complex, heterogeneous, and data-centric environment in which modern distributed systems are operating. The ability to timely manage and analyze large amounts of data, and to guarantee low-latency access to the data themselves increasingly become critical requirements and are at the heart of modern business processes. In this context, data science, as the foundation of today's data-driven society, plays the role of developing and defining all the technologies needed to support construction of value on data in multidisciplinary areas at increasing complexity. ITADATA2025 covers theoretical and practical research and application pertaining to data, from data governance to data processing and analysis. It also covers research and application in related domains where data and data science technologies are key, such as cloud, edge and IoT, intelligent and high-performance computing, blockchain, security and privacy, assurance and certification. It finally considers and analyzes the evolution of big data and data science at EU and national level, trying to map current activities in the context of data spaces and relevant organizations/associations such as, for instance, the Big Data Value Association (BDVA), as well as policy development, laws, and regulations. ***IMPORTANT DATES*** Research Paper/Presentation submissions due: June 1st, 2025 Final notification to authors: July 20th, 2025 Camera-ready paper and registration due: August 3rd, 2025 Tutorial/Demo/Workshop/Panel proposal due: June 30th, 2025 (EXTENDED) Final notification to proposers: July 7th, 2025 (EXTENDED) ***CALL FOR RESEARCH PAPERS*** ITADATA2025 welcomes original papers from academia and industry presenting novel research on all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2025 also welcomes papers specifically focusing on policy-making, ethics, laws, and regulations. Areas of interest include, but are not limited to: - Big Data and Data Science Foundation - Big Data Platforms and Infrastructures - Big Data and Data Science Applications - Big Data Governance - Big Data Security and Privacy - Big Data Assurance and Trustworthiness - Ethics of Big Data - Big Data and Data Science for Cybersecurity - Big Data and Data Science for High Performance Computing - Industrial Big Data and Data Science - Data Spaces Research papers can be submitted to two tracks: - Regular papers (up to 12 pages + references): original research work - Discussion papers (up to 8 pages + references): research work discussing a critical summary of already-published papers, on-going/incomplete work presenting preliminary results, position papers Papers shall to be submitted in PDF format, shall be written in English and be no longer than 12 pages including all contents and references. All papers will be reviewed by at least 3 members of the program committee and evaluated on the basis of their quality, originality, relevance, and timeliness. Accepted paper shall be published in an open-access volume of CEUR Workshop Proceedings. ***CALL FOR PRESENTATIONS*** ITADATA2025 welcomes presentations of previously published research results or work in progress from academia and industry in all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2025 also welcomes papers specifically focusing on policy-making, ethics, laws, and regulations. A 2 to 4 pages abstract of the presentation has to be submitted in PDF format and must be written in English. Accepted presentations will be presented at the conference and will not be added to the conference proceedings. ***CALL FOR TUTORIALS/DEMOS*** ITADATA2025 tutorial/demo track welcomes researchers and practitioners in sharing practical knowledge, best practices and guidelines in vertical problems of big data and data science, and live demonstrations and prototypes. Tutorials/demos are planned to be delivered in a session of 1 or 2 hours. Tutorial proposals should contain the following information: - Title of the tutorial - Presenter(s) (brief CVs) - Aims and learning objectives - Scope of the tutorial/demo - Length: 1 or 2 hour - Full description (up to 2 pages) + citations to related publications - Target audience ***CALL FOR WORKSHOPS*** ITADATA2025 workshop track welcomes proposals for thematic workshops on specific verticals on big data and data science. Workshops focus on novel and disruptive topics, which can contribute and shape the future of big data and data science. ITADATA2025 workshops are planned to be delivered in a half-day session (4 hours). Workshop proposals should contain the following information: - Title of the workshop - Abstract of the workshop - Workshop goals, objectives, outcomes - Full description (up to 2 pages) - Format/structure of the workshop (tentative schedule) - Workshop Chairs (brief CVs) - Target audience ***CALL FOR PANELS*** ITADATA2025 panel track is meant to be a unique academic and industrial forum to discuss different viewpoints concerning gaps and challenges to be addressed by the big data and data science community. ITADATA2025 panels are planned to be delivered in a session of 30 minutes or 1 hour. Panel proposals should contain the following information: - Title of the panel - Moderator (brief CVs) - Aims, scope and topics of interest - Length: 30 minutes or 1 hour - Full description (up to 1 page) - Panelists - Target audience ***SUBMISSION INSTRUCTIONS*** Original papers, tutorial and demo, workshop, panel proposals must be submitted in the corresponding tracks at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcmt3.rese…. All papers and proposals must be formatted following the provided style available at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.itada…. All papers and proposals will be evaluated and selected on the basis of their quality, originality, relevance, and timeliness. ***COMMITTEES AND CHAIRS*** STEERING COMMITTEE - Claudio A. Ardagna, Universita' degli Studi di Milano - Angela Bonifati, Universite' Claude Bernard Lyon 1 - Angelo Ciaramella, Universita' degli Studi di Napoli "Parthenope" - Davide Dalle Carbonare, Engineering Ingegneria Informatica - Ernesto Damiani, Khalifa University - Donato Malerba, Universita' degli Studi di Bari "Aldo Moro" GENERAL CHAIRS - Mirko Polato, Universita' degli Studi di Torino - Luigi Romano, Universita' degli Studi di Napoli "Parthenope" - Claudio A. Ardagna, Universita' degli Studi di Milano PROGRAM CHAIRS - Roberto Esposito, Universita' degli Studi di Torino - Riccardo Torlone, Universita' degli Studi Roma Tre - Michelangelo Ceci, Universita' degli Studi di Bari "Aldo Moro" - Nicola Bena, Universita' degli Studi di Milano PROGRAM CHAIRS - PRESENTATION TRACK - Devis Bianchini, Universita' degli Studi di Brescia - Salvatore Distefano, Universita' degli Studi di Messina - Emanuel Di Nardo, Universita' degli Studi di Napoli "Parthenope" PANEL CHAIRS - Ruggero Pensa, Universita' degli Studi di Torino - Giancarlo Ruffo, Universita' degli Studi del Piemonte Orientale "Amedeo Avogradro" - Antonio Maratea, Universita' degli Studi di Napoli "Parthenope" WORKSHOP CO-CHAIRS - Mattia Cerrato, University of Mainz - Filippo Berto, Universita' degli Studi di Milano - Beniamino Di Martino, Universita' degli Studi della Campania "Luigi Vanvitelli" DEMO/TUTORIAL CHAIRS - Attilio Fiandrotti, Universita' degli Studi di Torino - Chiara Boldrini, CNR - IIT - Stefano Cirillo, Universita' degli Studi di Salerno PUBLICATION CHAIRS - Alex Della Bruna, CINI PUBLICITY CHAIRS - Antongiacomo Polimeno, Universita' degli Studi di Milano - Alex Mircoli, Universita' Politecnica delle Marche

1 0

REMINDER Plenaria WP1 giovedì 28 maggio h9
by Francesco Zavatarelli 15 May '25

15 May '25

Buongiorno a tutti *Vi ricordo la call MUSA di **giovedì **28 maggio h9**.* *È la consueta Plenaria MUSA WP1.* *Il focus sarà sui deliverable da consegnare per il prossimo report scientifico. * *La presentazione principale sarà sul pilot 1.2.3 (Federated Learning).* *Per il deliverable potete fare upload nello spazio di Teams o semplicemente spedire a questa mail. * · *LINK della call* https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmU5NzU5OGQtYzY5MS00… Cordiali saluti Francesco Zavatarelli

1 1

CFP: ITADATA2025 (Submission Deadline: June 1st, 2025)
by Antongiacomo Polimeno 10 May '25

10 May '25

4TH ITALIAN CONFERENCE ON BIG DATA AND DATA SCIENCE (ITADATA 2025) September 9-11, 2025, Turin, Italy https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.itada… ***SPECIAL ISSUE*** The best accepted papers will be invited to submit an extended version of the paper to a Q1/Q2 journal (TBC). ***ABOUT*** The Italian Conference on Big Data and Data Science (ITADATA2025), at its fourth edition, is the annual event supported by the CINI Data Science National Laboratory that aims to put together Italian researchers and professionals from academia, industry, government, and public administration working in the field of big data and data science, as well as related fields (e.g., security and privacy, HPC, Cloud). The conference will be structured into a main research track on big data and data science and complemented with tutorials/demos on specific solutions and prototypes developed by industries, research centers and universities, and thematic workshops on specific verticals of big data and data science. The conference will also feature selected distinguished keynote speeches and some panels. ITADATA2025 aims to discuss and shape the future of Big Data and Data Science in Italy and abroad, considering the multidisciplinary, complex, heterogeneous, and data-centric environment in which modern distributed systems are operating. The ability to timely manage and analyze large amounts of data, and to guarantee low-latency access to the data themselves increasingly become critical requirements and are at the heart of modern business processes. In this context, data science, as the foundation of today's data-driven society, plays the role of developing and defining all the technologies needed to support construction of value on data in multidisciplinary areas at increasing complexity. ITADATA2025 covers theoretical and practical research and application pertaining to data, from data governance to data processing and analysis. It also covers research and application in related domains where data and data science technologies are key, such as cloud, edge and IoT, intelligent and high-performance computing, blockchain, security and privacy, assurance and certification. It finally considers and analyzes the evolution of big data and data science at EU and national level, trying to map current activities in the context of data spaces and relevant organizations/associations such as, for instance, the Big Data Value Association (BDVA), as well as policy development, laws, and regulations. ***IMPORTANT DATES*** Research Paper/Presentation submissions due: June 1st, 2025 Final notification to authors: July 20th, 2025 Camera-ready paper and registration due: August 3rd, 2025 Tutorial/Demo/Workshop/Panel proposal due: May 15th, 2025 Final notification to proposers: June 3rd, 2025 ***CALL FOR RESEARCH PAPERS*** ITADATA2025 welcomes original papers from academia and industry presenting novel research on all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2025 also welcomes papers specifically focusing on policy-making, ethics, laws, and regulations. Areas of interest include, but are not limited to: - Big Data and Data Science Foundation - Big Data Platforms and Infrastructures - Big Data and Data Science Applications - Big Data Governance - Big Data Security and Privacy - Big Data Assurance and Trustworthiness - Ethics of Big Data - Big Data and Data Science for Cybersecurity - Big Data and Data Science for High Performance Computing - Industrial Big Data and Data Science - Data Spaces Research papers can be submitted to two tracks: - Regular papers (up to 12 pages + references): original research work - Discussion papers (up to 8 pages + references): research work discussing a critical summary of already-published papers, on-going/incomplete work presenting preliminary results, position papers Papers shall to be submitted in PDF format, shall be written in English and be no longer than 12 pages including all contents and references. All papers will be reviewed by at least 3 members of the program committee and evaluated on the basis of their quality, originality, relevance, and timeliness. Accepted paper shall be published in an open-access volume of CEUR Workshop Proceedings. ***CALL FOR PRESENTATIONS*** ITADATA2025 welcomes presentations of previously published research results or work in progress from academia and industry in all theoretical and practical aspects of Big Data and data science including data governance, data processing, data analysis, data reporting, data protection, as well as experimental studies and lessons learned. ITADATA2025 also welcomes papers specifically focusing on policy-making, ethics, laws, and regulations. A 2 to 4 pages abstract of the presentation has to be submitted in PDF format and must be written in English. Accepted presentations will be presented at the conference and will not be added to the conference proceedings. ***CALL FOR TUTORIALS/DEMOS*** ITADATA2025 tutorial/demo track welcomes researchers and practitioners in sharing practical knowledge, best practices and guidelines in vertical problems of big data and data science, and live demonstrations and prototypes. Tutorials/demos are planned to be delivered in a session of 1 or 2 hours. Tutorial proposals should contain the following information: - Title of the tutorial - Presenter(s) (brief CVs) - Aims and learning objectives - Scope of the tutorial/demo - Length: 1 or 2 hour - Full description (up to 2 pages) + citations to related publications - Target audience ***CALL FOR WORKSHOPS*** ITADATA2025 workshop track welcomes proposals for thematic workshops on specific verticals on big data and data science. Workshops focus on novel and disruptive topics, which can contribute and shape the future of big data and data science. ITADATA2025 workshops are planned to be delivered in a half-day session (4 hours). Workshop proposals should contain the following information: - Title of the workshop - Abstract of the workshop - Workshop goals, objectives, outcomes - Full description (up to 2 pages) - Format/structure of the workshop (tentative schedule) - Workshop Chairs (brief CVs) - Target audience ***CALL FOR PANELS*** ITADATA2025 panel track is meant to be a unique academic and industrial forum to discuss different viewpoints concerning gaps and challenges to be addressed by the big data and data science community. ITADATA2025 panels are planned to be delivered in a session of 30 minutes or 1 hour. Panel proposals should contain the following information: - Title of the panel - Moderator (brief CVs) - Aims, scope and topics of interest - Length: 30 minutes or 1 hour - Full description (up to 1 page) - Panelists - Target audience ***SUBMISSION INSTRUCTIONS*** Original papers, tutorial and demo, workshop, panel proposals must be submitted in the corresponding tracks at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcmt3.rese…. All papers and proposals must be formatted following the provided style available at https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.itada…. All papers and proposals will be evaluated and selected on the basis of their quality, originality, relevance, and timeliness. ***COMMITTEES AND CHAIRS*** STEERING COMMITTEE - Claudio A. Ardagna, Universita' degli Studi di Milano - Angela Bonifati, Universite' Claude Bernard Lyon 1 - Angelo Ciaramella, Universita' degli Studi di Napoli "Parthenope" - Davide Dalle Carbonare, Engineering Ingegneria Informatica - Ernesto Damiani, Khalifa University - Donato Malerba, Universita' degli Studi di Bari "Aldo Moro" GENERAL CHAIRS - Mirko Polato, Universita' degli Studi di Torino - Luigi Romano, Universita' degli Studi di Napoli "Parthenope" - Claudio A. Ardagna, Universita' degli Studi di Milano PROGRAM CHAIRS - Roberto Esposito, Universita' degli Studi di Torino - Riccardo Torlone, Universita' degli Studi Roma Tre - Michelangelo Ceci, Universita' degli Studi di Bari "Aldo Moro" - Nicola Bena, Universita' degli Studi di Milano PROGRAM CHAIRS - PRESENTATION TRACK - Devis Bianchini, Universita' degli Studi di Brescia - Salvatore Distefano, Universita' degli Studi di Messina - Emanuel Di Nardo, Universita' degli Studi di Napoli "Parthenope" PANEL CHAIRS - Ruggero Pensa, Universita' degli Studi di Torino - Giancarlo Ruffo, Universita' degli Studi del Piemonte Orientale "Amedeo Avogradro" - Antonio Maratea, Universita' degli Studi di Napoli "Parthenope" WORKSHOP CO-CHAIRS - Mattia Cerrato, University of Mainz - Filippo Berto, Universita' degli Studi di Milano - Beniamino Di Martino, Universita' degli Studi della Campania "Luigi Vanvitelli" DEMO/TUTORIAL CHAIRS - Attilio Fiandrotti, Universita' degli Studi di Torino - Chiara Boldrini, CNR - IIT - Stefano Cirillo, Universita' degli Studi di Salerno PUBLICATION CHAIRS - Alex Della Bruna, CINI PUBLICITY CHAIRS - Antongiacomo Polimeno, Universita' degli Studi di Milano - Alex Mircoli, Universita' Politecnica delle Marche

1 0

[Call for Nominations] 2025 Best Ph.D. and Master Thesis Awards on Big Data & Data Science
by Antongiacomo Polimeno 07 May '25

07 May '25

2025 BEST PH.D. AND MASTER THESIS AWARDS ON BIG DATA & DATA SCIENCE Call for Nominations https://www.itadata.it/2025/call_for_nominations 4TH ITALIAN CONFERENCE ON BIG DATA AND DATA SCIENCE September 9-11, 2025, Turin, Italy https://www.itadata.it Submission Deadline: May 31, 2025 The CINI Data Science Lab established two Distinguished Awards for the Best Ph.D. and the Best Master Theses in the area of Big Data and Data Science. The goals of the awards are to promote and recognize outstanding theses, increase the visibility of young researchers inside the lab as well as in the larger Italian scientific community, and inspire members of the big data and data science community thus facilitating transdisciplinary collaborations. Ph.D. and Master degree theses in all fields of Big Data and Data Science and successfully defended at an Italian university in 2024 are eligible. The theses will be evaluated by a committee of experts based on originality and potential impact on the Big Data and Data Science community. Three candidates for each award will be selected and invited to remotely present their thesis to the committee before ITADATA2025. The two winners will be invited to participate at the conference that will be held on September 9-11, 2025 in Turin and nominated during the awards ceremony. The Best Ph.D. Thesis awardee will be also invited to give a talk at the conference. The candidate must submit a copy of the thesis in PDF format via https://cmt3.research.microsoft.com/ITADATA2025 under tracks Awards - PhD and Awards - Master's by May 31, 2025, with the following information: - Name of the Candidate and email address - Title of the Master or Ph.D. thesis - Name of the Master degree or the Doctoral program - Institution that has awarded the Master Degree or the Ph.D. - Date of the defense of the Master thesis or the Ph.D. thesis - Abstract of the thesis, up to 3 pages in PDF format - Name and email address of the Supervisor of the submitted thesis - Copy of a certificate proving that the thesis has been successfully defended - Supervisor's endorsement letter and one more endorsement letter, if available, drawn up according to the template available at https://www.itadata.it/resources/2025/recommendation_letter.docx The selection committee members for the 2025 competition are: - Emanuela Merelli, CINI Data Science Lab (Chair) - Mirko Polato, University of Turin - Roberto Pirrone, University of Palermo - Silvia Ronchiadin, Intesa Sanpaolo The selection committee will solicit the opinion of members of the research community as appropriate. Theses supervised by members of the selection committee are not eligible. The CINI Data Science Lab is committed to equal opportunities and welcomes submissions of outstanding theses from all authors.

1 0

CFP 2025 IEEE CSR Workshop on Synthetic Data Generation for a Cyber-Physical World (SDGCP) (Submission deadline extended: May 5, 2025)
by Filippo Berto 04 May '25

04 May '25

IEEE CSR SDG Workshop 2025 IEEE CSR Workshop on Synthetic Data Generation for a Cyber-Physical World (SDGCP) ++++++++++++++++++++++++++ 4 - 6 August 2025 �� Chania �� Crete, Grece �� In-person event �� Workshop: https://www.ieee-csr.org/sdgcp Submission portal: https://www.ieee-csr.org/registration Synthetic datasets that reflect the statistical properties of authentic data allow to share research insights and findings without compromising privacy or proprietary interests. This approach not only promotes transparency and reproducibility in research but also encourages interdisciplinary collaboration and knowledge sharing. Artificial Intelligence (AI) is one of the main areas utilizing generated synthetic data. Privacy issues arise once the dataset contains sensitive features playing a role in training AI systems. Because data collection is expensive and time-consuming, given some shortcomings such as low volume of data, non-compliance with regulations, and bias, we not only may achieve biased and low-performance models but also violate privacy principles. Synthetic data generation can facilitate analysis, the need for data augmentation, or prevent data breaches in highly sensitive domains, rather than weak anonymization approaches. Generative Adversarial Networks (GAN), Variational Autoencoders (VAE), and Agent-based modeling (ABM) are among the most common synthetic data generation algorithms. However, it is critical to recognize the limitations of synthetic data generation, particularly in capturing the intricacies and interdependencies present in real-world systems. While synthetic datasets can mimic statistical distributions and patterns, they may struggle to replicate the nuanced relationships and contextual nuances inherent in complex phenomena. By leveraging advances in artificial intelligence, machine learning, and computational modeling, researchers can strive to bridge the gap between synthetic and authentic data, unlocking new opportunities for insight and innovation in fields as diverse as healthcare, finance, social sciences, and beyond. The workshop will be held in conjunction with the IEEE CSR 2025 conference as a physical event, during August 4�C6, 2025. Prospective authors are encouraged to submit previously unpublished contributions from a broad range of topics, which include but are not limited to the following: * Generating synthetic data compliance with regulations * Privacy preserving in healthcare data * Algorithms for debiasing dataset (in the preprocessing phase of ML modeling) * Algorithms for debiasing the ML models�� results * Uncovering and mitigating synthetic data algorithmic bias * Assurance and certification of the dataset and ML models * Synergy of ABM with ML focusing on the rule extraction * Domain dependent/independent synthetic data generation challenges and opportunities * FAIR (findability, accessibility, interoperability, and reuse) and ethical synthetic data generation * Explainability and interpretability aspects in synthetic data generation ## Important Dates * Paper submission deadline: May 5, 2025 (extended, firm) * Authors�� notification: May 26, 2025 * Camera-ready submission: June 16, 2025 * Registration deadline (authors): June 16, 2025 * Workshop dates: August 4�C6, 2025 ## Workshop Chairs * Samira Maghool, Universit�� degli Studi di Milano (IT) * Faiza Allah Bukhsh, University of Twente (NL) ## Organizing Commitee * Faiza Allah Bukhsh, University of Twente (NL) * Paolo Ceravolo, Universit�� degli Studi di Milano (IT) * Ernesto Damiani, Khalifa University (AE) * Samira Maghool, Universit�� degli Studi di Milano (IT) ## Publicity Chair * Filippo Berto, Universit�� degli Studi di Milano (IT) This call for papers and additional information about the conference can be found at https://www.ieee-csr.org/sdgcp/<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ieee-…> <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ieee-…> Organizers can be contacted at samira.maghool(a)unimi.it<mailto:samira.maghool@unimi.it> and f.a.bukhsh(a)utwente.nl<mailto:f.a.bukhsh@utwente.nl> . Filippo Berto Ph.D., Research Fellow Department of Computer Science, Universit�� degli Studi di Milano Homepage<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhomes.di.…> filippo.berto(a)unimi.it

1 0