BRIOLA DANIELA
- U14, Floor: 2, Room: 2015
Biography
Daniela Briola obtained her Ph.D. in Computer Science from the University of Genoa in 2009, and is currently assistant professor at the University of Milano Bicocca. Her research interests include multiagent systems (MAS), knowledge representation and management for MAS, V&V of MASs and software engineering, in particular field monitoring and testing. She is regularly involved in the program committees of AAMAS and many international conferences in her areas of interest, lead Special issues in the area both of MAS and Software Engineering, and is one of the editors of the international journal “Scientific Programming”.
Research
I have been working for years in the AI research area, in particular in the one of Multiagent Systems (MAS) and knowledge management in MAS.
More recently, I started new research activities in the Software Engineering research area, in particular SE of comple systems and MAS, and Virtual and Augmented Reality for simulation and integration into MAS systems.
I offer many student projects (both for bachelor and master students) in the overmentioned areas, in collaboration with other colleagues and departments too (to be discussed by appointment).
Publications
Briola, D., Collier, R., Ferrando, A., Mascardi, V., Ricci, A. (2026). Agent Toolkits Anno 2025: Where We Are, Where We Go. In R. Collier, V. Mascardi, A. Ricci (a cura di), Agents and Multi-Agent Systems Development Platforms, Toolkits, Technologies (pp. 1-23). Springer Nature [10.1007/978-3-032-01082-7_1]. Detail
Vizzari, G., Briola, D. (2026). Simulation and Agent-Based Simulation at WOA: 25 of Years of Simulation-Related Contributions, and an Outlook of What Awaits Us. In V. Mascardi, A. Omicini (a cura di), The Agents Journey - Twenty-Five Years of Multi-agent Systems (pp. 260-283). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-22940-3_10]. Detail
Vizzari, G., Falbo, A., Tenderini, R., Briola, D. (2026). RL-Godot pedestrian simulation: curriculum-based reinforcement learning for pedestrian simulation. In Pedestrian and Evacuation Dynamics 2025 (pp.323-329). Ceske Vysoke Uceni Technicke,Czech Technical University in Prague [10.14311/app.2026.57.0323]. Detail
Briola, D., Vizzari, G., Montinaro, M. (2025). Enhancing Testing of MASs with a Simulator of JADE. In 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) (pp.3687-3694). IOS Press BV [10.3233/faia251247]. Detail
Vizzari, G., Briola, D., Pisapia, F. (2024). Curriculum-Based RL for Pedestrian Simulation: Sensitivity Analysis and Hyperparameter Exploration. In Thirteenth International Workshop on Agents in Traffic and Transportation
co-located with the the 27th European Conference on Artificial Intelligence (ECAI 2024) (pp.136-149). CEUR-WS. Detail
Awards
Research and teaching assignments
- Ricercatore/Ricercatrice universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2024 - 2025
- Ricercatore/Ricercatrice universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2022 - 2024
- Ricercatore/Ricercatrice universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2015 - 2020
- Attivita' di insegnamento - Università degli Studi di MILANO-BICOCCA, 2020 - 2021
- Ricercatore/Ricercatrice universitario a t.d. - Università degli Studi INSUBRIA Varese-Como, 2021 - 2022
- Attivita' di insegnamento - Università degli Studi INSUBRIA Varese-Como, 2020 - 2021