Francesco Fabiano
Scholar

Francesco Fabiano

Google Scholar ID: W6JOvEIAAAAJ
Oxford University
Artificial IntelligenceEpistemic ReasoningEpistemic LogicMulti-Agent Planning
Citations & Impact
All-time
Citations
595
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Insufficient information
Research Experience
  • January 2025 - Present, Research Associate at the University of Oxford, working on the EPSRC-funded Erlangen AI Hub, focusing on the computational foundations of AI and decision-making.
  • October 2025 - November 2026, Lecturer in Computer Science at Trinity College, Oxford, providing tutorial support for the Imperative Programming course.
  • April 2020 - Present, Joint Researcher at IBM Research, part of an IBM Watson Research Lab Group, analyzing cognitive theories to define a general AI paradigm.
  • August 2024 - Present, Affiliated Faculty Member at New Mexico State University, conducting research on Multi-Agent Epistemic Planning.
  • August 2023 - August 2024, Assistant Professor at New Mexico State University, teaching courses such as Applied Machine Learning I, Analysis of Algorithms, Parallel Programming, and more.
  • January 2023 - July 2023, Adjunct Professor at Saint Joseph’s University, teaching Advanced Python Programming, BIA: Concepts & Practices, and other courses.
Education
  • Ph.D. in Computer Science from the University of Oxford, supervisor information not provided.
Background
  • A Computer Scientist specializing in neuro-symbolic AI, multi-agent systems, and epistemology. Currently part of the EPSRC-funded Erlangen AI Hub at the University of Oxford, focusing on the Computational Foundations of AI, with a particular emphasis on Understanding Decision Making.
Miscellany
  • From Parma, Italy, loves good food, especially when enjoyed with lifelong friends; enjoys running, particularly trail-running in the hills of Calestano; fascinated by mythology, enjoys listening to the Mythology Podcast and reading related books.