Dr. Felipe Trevizan

Biography

Felipe Trevizan currently serves as a Senior Lecturer in the School of Computing at the Australian National University (ANU). He previously held the position of Senior Research Scientist at NICTA, now part of Data61/CSIRO. Felipe completed his Ph.D. in Machine Learning at Carnegie Mellon University in 2013, under the supervision of Professor Manuela Veloso. His doctoral research introduced a novel approach to short-sighted planning, effectively addressing uncertainty in planning applications. During his Ph.D. program, he earned his M.Sc. degree in 2010, where his work demonstrated the application of machine learning techniques to classify opponents' strategies in the RoboCup small size league. Felipe has co-authored research that received the 2016 Kikuchi-Karlaftis Paper Award from the Transport Research Board, presented at the International Conference on Automated Planning and Scheduling (ICAPS) in 2016. His research interests intersect Artificial Intelligence, Operations Research, and Machine Learning, with a focus on automated planning and scheduling, reasoning under uncertainty, and heuristic search. He is actively involved in supervising research students in these areas.

Research Interests