Francesco Fabiano

Francesco Fabiano is a Research Fellow at the Department of Computer Science, University of Oxford, and an Affiliated Faculty Member at New Mexico State University. He previously served as Assistant Professor at New Mexico State University (2023–2024) and held Adjunct Professor roles at Saint Joseph’s University and University of Parma. His research spans neuro-symbolic AI, multi-agent systems, epistemology, and autonomous planning.

• Postdoctoral Research Associate at University of Oxford (2025–present)
• Ph.D. in Computer Science from University of Udine (2018–2021)
• Master’s Degree in Computer Science from New Mexico State University (2017–2018)
• Bachelor’s Degree in Computer Science from University of Parma (2013–2016)

His work focuses on neuro-symbolic architectures that integrate formal logic with machine learning, particularly for multi-agent epistemic planning and ethical decision-making frameworks. He explores hybrid systems combining System-1/System-2 cognitive paradigms to enhance AI trustworthiness.

Recent publications analyze knowledge representation in neuro-symbolic systems, the role of large language models in planning, and heuristic optimization in multi-agent epistemic solvers like EFP. His work also addresses ethical AI and explainable data-to-text frameworks.

• Best Ph.D. Thesis Award by GULP (2022)

He collaborates with IBM Watson Research Lab on cognitive theory-inspired AI paradigms and contributes to open-source planning tools like EFP. His teaching experience includes courses in Applied Machine Learning, Automated Planning, and LaTeX programming.