Biography
Dr. 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.
Felipe's 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.
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.
For more details, see Felipe's
CV,
Google Scholar profile and
DBLP entry.