Felipe Trevizan

Felipe Trevizan is Senior Lecturer at the Australian National University's School of Computing. His research integrates artificial intelligence, operations research and machine learning to solve planning and scheduling problems.

Research Focus: Develops algorithms for automated planning under uncertainty, including heuristic search methods and machine learning approaches for probabilistic systems. Current projects include domain-independent heuristic learning and constrained stochastic path optimization.

Recent Advances: Created novel algorithms like partial-space search for learned heuristics and constraint generation techniques for stochastic path problems. Research enables more efficient planning in complex environments with uncertainty.