Bio

Nicholas Rossetti is a post-doctoral researcher at the University of Brescia. Nicholas completed his doctorate in the National PhD in Artificial Intelligence at the Sapienza University of Rome, in collaboration with the University of Brescia, under the supervision of Prof. Alfonso Emilio Gerevini. His research focuses on applying Deep Learning, Reinforcement Learning, and neuro-symbolic AI for automated planning and reasoning. More specifically, his work explores the intersection of learning models, such as LLMs (Large Language Models) and GNNs (Graph Neural Networks), with symbolic components to enhance the reasoning capabilities of these models. In addition, he has contributed to neural model applications in the Internet of Things (IoT) context, particularly in predictive and preventive maintenance and quality control in manufacturing. Prior to his current research, Nicholas worked on Deep Learning applications in medicine, focusing on prognosis, length of stay, and ICU admission for COVID-19 hospitalized patients. His papers have been published in well-known venues, including ICAPS, NeSy, AIxIA, AIME and KES.

News

• 30 May 2025 - I have successfully defended my PhD thesis entitled “Learning General Policies for Planning through GPT Models” and officially completed my PhD at Sapienza University of Rome.
• 01 March 2025 - Our paper “On Planning Through LLMs” was accepted at ICAPS 2025.
• 28 November 2024 I have presented our workshop paper “Enhancing GPT-based Planning Policies by Model-based Plan Validation” at the workshop Knowledge Representation and Automated Reasoning (RCRA2024) at AIxIA 2024 held in Bolzano.
• 26 November 2024 I have presented our workshop paper “How Are Large Language Models Applied to Automated Planning? A Discussion” at the workshop Italian Workshop on Planning and Scheduling (IPS2024) at AIxIA 2024 held in Bolzano.
• 06 August 2024 Our paper “Integrating Classical Planners with GPT-Based Planning Policies” was accepted at AIxIA 2024.
• 14 June 2024 Our paper “Enhancing GPT-based Planning Policies by Model-based Plan Validation” was accepted at NeSy 2024.
• 04 June 2024 - I have presented our paper entiled “Learning general policies for planning through GPT models” at the 34th International Conference on Automated Planning and Scheduling held in Banff.
• 12 February 2024 - Our paper “Learning general policies for planning through GPT models” was accepted at ICAPS 2024.