Summary
Rafael Cardoso is a research-driven computing science leader with 13 years' experience bridging academia and applied AI, currently directing Undergraduate Pathways in Computing Science at the University of Aberdeen while lecturing there. He holds a PhD in Computer Science and specializes in Multi-Agent Systems, Multi-Agent Planning and Neuro-Symbolic AI, focusing on agent programming languages, goal-allocation and coordination mechanisms. His career includes research posts at Manchester and Liverpool, where he translated theoretical multi-agent models into practical benchmarks and planners. Known for combining rigorous research with curriculum leadership, he brings deep domain expertise to developing student pathways and scalable teaching practices. A bilingual academic from Brazil now based in Aberdeen, he often blends formal methods with empirical evaluation to push agent-based systems toward real-world applicability.
13 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Centro Universitário Franciscano
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Pontifícia Universidade Católica do Rio Grande do Sul