On Planning Through LLMs
On Planning Through LLMs, M. Chiari, L. Putelli, N. Rossetti, I. Serina, AE. Gerevini - Proceedings of the 35th. International Conference on Automated Planning and Scheduling (ICAPS), 2025
CV
Education
- National PHD of Artificial Intelligence, Sapienza, University of Rome, University of Brescia, Thesis: Learning General Policies for Planning through GPT Models, supervisor: Prof. Alfonso Gerevini 2021/2024
- Master’s Degree in Computer Engineering, 110L/110, University of Brescia, Thesis: Machine Learning per l’analisi di dati clinici di pazienti con COVID-19, supervisor: Prof. Alfonso Gerevini and Prof. Ivan Serina, 2018/2021
- Bachelor’s Degree in Information Engineering, 100/110, University of Brescia, Thesis: Navigazione simulata cross piattaforma di un centro commerciale, supervisor: Redolfi Massimiliano, 2015/2019
- Technical high school diploma, IT specialization e telecommunications, IT division, 95/100, ITIS Benedetto Castelli (BS), 2010-2015
- Oxford Machine Learning Summer School 2024, MLx Representation Learning and Generative AI, Oxford, England, July 2024
- European Summer School on Artificial Intelligence (ESSAI) & Advanced Course on AI (ACAI) 2023 Summer School, Ljubljana, Slovenia, July 2023
- AI & Cybersecurity Summer School, Rome, Italy, September 2022
- DeepLearn 2022 Summer School, Las Palmas de Gran Canaria, Spain, July 2022
- ACDL 2021 Summer School, Siena, Italy, July 2021
Work experience
- November 2024 - Until Now: Researcher in Artificial Intelligence, Deep Learning
- Department of Computer Science, University of Brescia
- February 2025 - Until now: Support Teacher for course Programming Fundamentals
- Department of Computer Science, University of Brescia
- November 2021 - May 2025
- National PHD course of Artificial Intelligence of Sapienza, università di Roma
- Department of Computer Science, University of Brescia.
- Supervisor: Prof. Alfonso Gerevini
- February 2024 - September 2024: Support Teacher for course Programming Fundamentals
- Department of Computer Science, University of Brescia
- December 2022 - June 2024: external consultant on deep learning
- Dinema S.P.A., Brescia, Italy
- February 2023 - September 2023: Support Teacher for course Programming Fundamentals
- Department of Computer Science, University of Brescia
- April 2021 - March 2022: Researcher in Artificial Intelligence, Deep Learning
- Department of Computer Science, University of Brescia
- January 2021 - March 2021: Intern in Big Data and Finance
- Engineering, Brescia, Italy
- June 2013 - August 2013: Intern in System Administrator
- Bios Informatica, Sarezzo, Italy
Publications
Integrating Classical Planners with GPT-Based Planning Policies
Integrating Classical Planners with GPT-Based Planning Policies, M. Tummolo, N. Rossetti, AE. Gerevini, M. Olivato, L. Putelli, I. Serina - Proceedings of the 33th International Conference of the Italian Association for Artificial Intelligence (AIxIA), 2024
Enhancing GPT-based Planning Policies by Model-based Plan Validation
Enhancing GPT-based Planning Policies by Model-based Plan Validation, N. Rossetti, M. Tummolo, AE. Gerevini, M. Olivato, L. Putelli, I. Serina - Proceedings of the 18th International Conference of Neural-Symbolic Learning and Reasoning (NeSy), 2024
Learning general policies for planning through GPT models
Learning general policies for planning through GPT models, N. Rossetti, M. Tummolo, AE. Gerevini, L. Putelli, I. Serina, M. Chiari, M. Olivato - Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS), 2024
Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling
Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling, N. Rossetti, AE. Gerevini, M. Olivato, L. Putelli, M. Chiari, I. Serina, D. Minisci, E. Foca - Proceedings of the 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2023
Machine learning models for predicting short-long length of stay of COVID-19 patients
Machine learning models for predicting short-long length of stay of COVID-19 patients, M. Olivato, N. Rossetti, AE. Gerevini, M. Chiari, L. Putelli, I. Serina - Proceedings of the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2022
An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy
An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy, M. Chiari, AE. Gerevini, M. Olivato, L. Putelli, N. Rossetti, I. Serina - Proceedings of the 19th International Conference on Artificial Intelligence in Medicine (AIME), 2021
Services
- Program commitee
- 14th Conference on Prestigious Applications of Intelligent Systems (PAIS-2025)
- International Workshop on Advanced Neuro-Symbolic Applications (ECAI) (ANSyA2025)
- European Conference of Artificial Intelligence (ECAI2025)
- International Conference of Automated Planning and Reasoning (ICAPS2025)
- AAAI Conference on Artificial Intelligence - Student Program (AAAI2023 - AAAI2024 - AAAI2025)
Skills
- Languages
- reading, writing and speaking competencies for English and Italian.
- Coding
- Java, PHP, Python, R, SQL, XML/XSL, \LaTeX, C
- Databases
- MySQL, PostgreSQL, TimeScale, Aws-Esse3
- Web
- HTML, css, JavaScript, Apache Web Server
- Misc
- Academic research, teaching, training, Artificial Intelligence, Deep Learning, Machine Learning, Reinforcement Learning, Docker