Dr Leonardo Amado

About

School/DepartmentSchool of Natural and Computing Sciences Biography My research focuses on artificial intelligence, particularly neuro-symbolic AI, goal and plan recognition, automated planning, reinforcement learning, and trustworthy autonomous and multi-agent systems. I develop methods that combine data-driven learning with symbolic reasoning to help AI systems recognise intentions, reason under uncertainty, and behave more reliably in complex environments. My research has been published at leading international AI venues, including AAAI, IJCAI, AAMAS, ECAI. My contributions include reinforcement-learning and neuro-symbolic approaches to goal recognition, robust and real-time intention recognition, and applications of automated planning to data-pipeline optimisation. My recent work also