Trustworthy Autonomous Systems (TAS) @IDSIA USI-SUPSI
Latest news and events
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Artificial intelligence for cyber-phisical security: Simone Guarino defends his PhD dissertation
Today Simone Guarino, TAS group affiliated member, has presented his research on cyber-physical anomaly detection for industrial control systems. The ensemble detection models he used are based on a combination of unsupervised machine learning and dynamic Bayesian networks, which he developed during his visit at IDSIA, hosted and supervised by Prof. Francesco Flammini. The main…
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Prof. Francesco Flammini wins TRA Visions Senior Researcher Award
Professor Francesco Flammini, head of the TAS group, has won the Senior Researcher Award at Transport Research Arena (TRA) Visions competition. He has been awarded during the TRA 2024 closing ceremony on April 18th in Dublin. The award especially recognizes his recent achievements in leading projects and scholars focused on the application of trustworthy artificial…
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Talk by Francesca Doneda (University of Milan) on “A logic for reasoning about (negative) trust under uncertainty”
On Monday, April 29th 2024, IDSIA will host the talk titled “A logic for reasoning about (negative) trust under uncertainty” by Francesca Doneda (University of Milan, Italy). Please find the abstract of the talk and her short biography below. The talk has been organized by Dr. Alessandro Facchini, member of the TAS group, and addresses…
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Safe Road-Crossing by Autonomous Wheelchairs
Safe road-crossing by self-driving vehicles is a crucial problem to address in smart-cities. We have recently introduced a multi-sensor fusion approach to support road-crossing decisions in a system composed by an autonomous wheelchair and a flying drone featuring a robust sensory system made of diverse and redundant components. To that aim, we designed an analytical…
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It’s About People 2024
The talk entitled “Towards Trustworthy Autonomous Systems for a Safer Society: Reference Taxonomy and Digital Twins” has been selected and held today by Prof. Francesco Flammini at the It’s About People conference (IAP’24 – In Service of Sustainability and Dignity, The 12th Annual Conference of Europe’s Sciences and Arts Leaders and Scholars, 8-13 March 2024,…
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Deep Learning for Railway Safety and Maintenance
On February 7th 2024, PhD student Lorenzo De Donato, co-supervised by Prof. Francesco Flammini, will defend his PhD thesis on Deep Learning for Railway Safety and Maintenance at the Department of Electrical and Information Technology Engineering (DIETI) of the University of Naples Federico II. Lorenzo has addressed several relevant TAS topics including trustworthy AI, safety…
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Invited Talk at WG114/G34 EUROCAE/SAE meeting
Prof. Francesco Flammini, head of the TAS group, has been invited by Collins Aerospace to deliver a talk at the next meeting of the EUROCAE/SAE G-34/WG-114 joint international committee on artificial intelligence in aviation. The G-34 “Artificial Intelligence in Aviation” Committee is responsible for creating and maintaining SAE Technical Reports (i.e. Aerospace Information Reports, Aerospace…
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“Ethics, Law and Privacy in Data and Analytics” at HCAI conference
The short paper entitled “Distance education boosting interdisciplinarity and internationalization: an experience report from Ethics, Law and Privacy in Data and Analytics at SUPSI” (Francesco Flammini and Stefano Marrone) has been accepted for inclusion in ACM proceedings and poster presentation at the next Human-Centred AI Education & Practice Conference. Click here to access the paper…
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Poster from TAS 2023
A paper by TAS members F. Corradini, F. Flammini and A. Antonucci has been recently accepted at the First International Symposium on Trustworthy Autonomous Systems. The published work is accessible from: https://dl.acm.org/doi/abs/10.1145/3597512.3599716 During the symposium, a poster presentation was provided by F. Corradini, who also presented it at IDSIA 35th anniversary celebration. Please find the…
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TAS members awarded Best Innovation Paper at IEEE CSR 2023
The paper entitled “Evaluating Machine Learning approaches for Cyber and Physical anomalies in SCADA systems” (Luca Faramondi, Francesco Flammini, Simone Guarino, and Roberto Setola) has beed awarded the “Best Innovation Paper Award” at IEEE Cyber Security & Resilience conference.