Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20122021

Research activity per year

Personal profile

Biography

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

Research Interests

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. 

Research student supervision

  • Registered to supervise

Fingerprint

Dive into the research topics where Felipe Werndl Trevizan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Find out about recent ANU collaborations across the world by selecting a location on the map OR