Felipe Trevizan is currently an Senior Lecturer in the School of Computing (formerly known as Research School of Computer Science) at the Australian National University (ANU). Previously, Felipe was a Senior Research Scientist at NICTA and Data61/CSIRO. Felipe earned his Ph.D. in Machine Learning (2013) from Carnegie Mellon University (CMU) under the supervision of Prof. Manuela Veloso. In his thesis, Felipe introduced short-sighted planning, a novel approach to effectively plan under uncertainty. As part of his Ph.D. program, Felipe received a M.Sc. degree (2010) where he showed how to use machine learning techniques to classify the opponent's strategy in the RoboCup small size league.

Along with colleagues and students, Felipe is the co-recipient of the 2016 Kikuchi-Karlaftis Best Paper Award of the Transport Research Board and the Best Paper Award at the International Conference on Automated Planning and Scheduling (ICAPS) in 2016 and 2017.

See also: https://felipe.trevizan.org

My research interests lie at the intersection of Artificial Intelligence, Operations Research and Machine Learning including automated planning and scheduling, reasoning under uncertainty, heuristic search, and machine learning.