01
about us
The AI program at ROMA TRE University comprises a multidisciplinary group of researchers conducting investigations on methods and tools for intelligent system development. The research activity of the AI laboratory embraces both formal approaches and theoretically grounded investigations, exploration and empirical-experimental techniques.
The group is part of the Department of Civil Engineering, Computer Science and Aeronautical Technologies DICITA (former Department of Engineering), which has been selected by the Minister of Education, University and Research (MIUR) as one of the “Department of Excellence” 2018-2022.
In 2017 two faculty members of the laboratory joined the A.I. Task Force promoted by Agency for Digital Italy (AgID), the technical agency of the Presidency of the Italian Council of Ministers. The task force’s focus is identifying AI solutions for public services to improve the relationship between public administrations and citizens.
Since 2018 the AI laboratory is active node of the national Laboratory of Artificial Intelligence and Intelligent Systems (AIIS) of CINI (National Interuniversity Consortium for Informatics).
It is partner of the Rome Technopole research project (Flagship Project 6 – Artificial intelligence, virtual reality and digital twin for advanced engineering and aerospace), coordinating the Working group in Machine Aided Design.
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Our focus
Teaching
Four courses that provide an AI specialization to help students master skills such as Machine Learning, Deep Learning, AI Logics, Planning and recent advances in Intelligent systems for Internet.
Research Activity
Investigation of new methodologies to solve specific, practical and present-day problems, with experiments on real-world case studies, with the support of GPU-based computing architecture (multi-GPU NVidia Tesla).
3rd Mission
Critical interactions between science and business, within strategic frameworks that include cooperation in education, training and technology transfer to ensure the transition of research results.
Community Engaged Research
Active role in editorial boards of International journal, member of program committees of international conferences, organization of seminars and meetings.
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The team
Faculty members and PhD students
Other scholars and principal collaborators
Claudio Biancalana
PhD, Italian National Anti-corruption Authority (ANAC)
Andrea Orlandini
PhD, Researcher at Institute of Cognitive Sciences and Technologies (ISTC-CNR)
Filippo Sciarrone
PhD, Associate Professor at Universitas MERCATORUM
PhD program in "Computer Science and Automation"
• Calls for fully funded PhD positions (dottorato) are annual, with applications open on June, until early July.
• The main PhD program which includes AI research activities is named "Computer Science and Automation – Informatica e Automazione".
• The PhD program lasts 3 years including periods of study in laboratories abroad (6 months or more).
• For more info visit PhD Call Announcements, PhD Program in Computer Science and Automation (IT) or PhD Program in Computer Science and Automation (EN).
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Research Activities
Research interests span multiple domains, such as Applied Machine and Deep Learning, User Modeling and User-adpated Interaction, Recommender Systems, AI logic and planning, and Intelligent Tutoring Systems.
Few case studies reported here:
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Teaching Activities
The group is involved in Bachelor (Laurea), Master (Laurea Magistrale) and PhD (Dottorato) degree courses. As for B.S. and M.S., the Department of Civil, Computer Science and Aeronautical Technologies Engineering (DICITA) offers 2 degree programmes, whose first year’s courses starting on 2024/25:
The programme’s specialization (or curriculum) in “Artificial Intelligence and Machine Learning” offers foundational AI & ML courses that include hands-on and application oriented learning approaches, such as:
- Foundations of Artificial Intelligence
- Machine Learning (Foundations of)
- Elements of Automatic Planning
- Deep Learning and Generative Models
Full details of the programme here.
The programme’s specialization in “Artificial Intelligence and Machine Learning” offers advanced and domain-specific courses covering also recent scientific findings, such as:
- Artificial Intelligence (Advanced topics)
- Machine Learning
- Deep Learning (Advanced topics)
- Intelligent Systems for the Internet
- Planning
- Artificial Intelligence from Engineering to Arts
- Logic
Full details of the programme here.
For additional information about curricula, Thesis topics, or to be involved in the AI group’s research projects, message us here.
Information about PhD applications is to be found here.
To submit to students proposals for company internships (proposte di tirocinio in azienda), refer to jobsoul online service.
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The Laboratory
Eye tracking
Tobii Pro Glasses 3 advanced wearable eye tracker with 16 illuminators and 4 eye cameras.
GPU computing
Multi-GPU Supermicro workstation based on NVIDIA Tesla P100 with NVlink architecture.
Large Language Models
Access to latest LLMs for customized training and fine tuning.
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Publications
Recent selection
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights Proceedings Article
In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024, ACM, 2024.
Artwork Segmentation in Eye-Tracking Experiments: Challenges and Future Directions Proceedings Article
In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024, ACM, 2024.
Cultural Impact on Digital Ecosystems: Exploring User Activity in Italy and the USA during the COVID-19 Pandemic Proceedings Article
In: Soto, Axel; Zangerle, Eva (Ed.): Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), Greenville, South Carolina, USA, March 18, 2024, CEUR-WS.org, 2024.
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024 Proceedings Article
In: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, IUI 2024, Greenville, SC, USA, March 18-21, 2024, pp. 125–126, ACM, 2024.
Towards Empathetic Social Robots: Investigating the Interplay between Facial Expressions and Brain Activity (short paper) Proceedings Article
In: Soto, Axel; Zangerle, Eva (Ed.): Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), Greenville, South Carolina, USA, March 18, 2024, CEUR-WS.org, 2024.
Full list of publications here.
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News
- The group took part of The European Researchers’ Night (on 27 September 2024) at Roma Tre venue, showing research outcomes related to user profiling and recommendation in art galleries.
- Research activities for the Rome Technopole project (WG01 Machine Aided Design) have reached mid-life of the project, corresponding to MLS3A milestone (end of October 2024)
- Talk “From ABC to GPT: The role of AI in inclusive and multicultural education settings” at XIV International Seminar of the GCUB, 24 Sep 2024, Rome Italy.
- Progetto “Samsung Innovation Campus 2024 – NEW CONSTELLATIONS OF THE FEMININE”, progetto di responsabilità sociale. Il bando è disponibile sul Dipartimento di Ingegneria Civile, Informatica e delle Tecnologie Aeronautiche (DICITA). Deadline 10 Sep 2024.
- SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) – The Fourth Workshop co-organized by the AI group has been hosted by ACM IUI 2024 conference, May 2024, South Carolina, USA.