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 (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 Link identifier #identifier__30144-1A.I. Task Force promoted by Link identifier #identifier__92952-2Agency 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 Link identifier #identifier__87751-3Laboratory of Artificial Intelligence and Intelligent Systems (AIIS) of CINI (National Interuniversity Consortium for Informatics).
It is partner of the Link identifier #identifier__75061-4Rome 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.
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.
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.
People
Faculty members and PhD students
- Link identifier #identifier__50705-1Alessio Ferrato – PhD Student
- Link identifier #identifier__125725-2Fabio Gasparetti – PhD, Full Professor, Head of AI lab
- Link identifier #identifier__7136-3Carla Limongelli – PhD, Associate Professor
- Link identifier #identifier__23755-4Alessandro Micarelli – Full Professor, Head of AI group
- Link identifier #identifier__113375-5Giuseppe Sansonetti – PhD, Assistant Professor
Other scholars and principal collaborators
- Claudio Biancalana – PhD, Italian National Anti-corruption Authority (ANAC)
- Link identifier #identifier__111613-6Andrea Orlandini – PhD, Researcher at Institute of Cognitive Sciences and Technologies (ISTC-CNR)
- Filippo Sciarrone – PhD, Associate Professor at Universitas MERCATORUM
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.
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:
Computer science engineering and artificial intelligence
The programme’s specialization (or curriculum) in “Link identifier #identifier__36687-5Artificial 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 Link identifier #identifier__75017-6here.
Computer science and engineering
The programme’s specialization in “Link identifier #identifier__71755-7Artificial 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 Link identifier #identifier__94294-8here.
For additional information about curricula, Thesis topics, or to be involved in the AI group’s research projects, message us.
To submit to students proposals for company internships (proposte di tirocinio in azienda), refer to Link identifier #identifier__64678-9jobsoul online service.
PhD program in “Computer Science and Automation”
- PhD positions (dottorato) are annual, with applications open on June, until early July.
- Informatica e Automazione”.
- Link identifier #identifier__38641-10PhD Call Announcements, Link identifier #identifier__192562-11PhD Program in Computer Science and Automation (IT) or Link identifier #identifier__3327-12PhD Program in Computer Science and Automation(EN).