Matthew Stephenson
Scholar

Matthew Stephenson

Google Scholar ID: 3Ebic40AAAAJ
Flinders University
Artificial IntelligenceGame AIProcedural Content GenerationMachine LearningData Science
Citations & Impact
All-time
Citations
847
 
H-index
16
 
i10-index
34
 
Publications
20
 
Co-authors
58
list available
Resume (English only)
Research Experience
  • Lecturer (2023–Present), Flinders University, Adelaide, Australia.
  • Postdoctoral Researcher (2019–2022), Maastricht University, Netherlands. Primary data scientist for the Digital Ludeme Project; managed large-scale historical and computational datasets and contributed to general AI development.
  • Lecturer (2019–2022), Maastricht University. Taught programming and intelligent search & games; supervised undergraduate and master’s theses.
  • External Consultant (2020–2023), Australian National University. Co-authored grants and consulted on the 'Science of AI and Learning for Open-world Novelty' project.
  • Research Scientist (2015–2016), Human Interface Technology Laboratory NZ, part-time developer for QuiverVision.
  • Tutor (2014–2015), University of Canterbury, School of Computer Science and Software Engineering.
Background
  • Lecturer at Flinders University's College of Science and Engineering, Australia.
  • Research focuses on applying AI, machine learning, and data science to games—designing AI to play, create, and analyze games, and using games as testbeds for real-world AI solutions.
  • Serves as the Data for Decisions Lead in Flinders University's Factory of the Future Transdisciplinary Hub, exploring AI-powered scenario generation and real-time analytics for smart digital twins.
  • Member of IRL CROSSING, an international lab studying human-autonomous agent teaming, particularly the impact of deceptive and adversarial behaviors in multi-agent systems.
  • Previously worked on the Digital Ludeme Project in Europe, using AI to computationally study traditional games across human history and their cultural evolution.