Adrian Pearce

Adrian Pearce is a Professor in the School of Computing and Information Systems at The University of Melbourne. He conducts foundational research in automated planning and scheduling, reasoning about actions, and optimization for autonomous systems. His work impacts applications in cognitive robotics, multi-agent systems, and sustainable supply chain logistics.

• Education: BSc (1st class honors) and PhD in Computer Science from The University of Melbourne and Curtin University, respectively.

His research focuses on:

• Reasoning about action and change (situation calculus, classical planning, reinforcement learning)
• Strategy synthesis for game structures (linear temporal logic, mu calculus)
• Introspective reasoning (theory of mind, epistemic logic)
• Contextual reasoning and ontology adaptation
• Discrete and continuous optimization (MIP, SAT)

Scientific awards include the Erasmus Mundus Academic Scholar Award (2014) and a best paper award at ICAPS 2015. He has supervised numerous PhD students whose work spans reinforcement learning, multi-agent reasoning, and quantum computing applications.