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个人简介
I completed my Ph.D. in Aug/2013 under the supervision of Prof. Manuela Veloso in the Machine Learning Department at Carnegie Mellon University (CMU). In my thesis, I introduced short-sighted planning, a novel approach to effectively plan under uncertainty. As part of my Ph.D. program, I received a Master's of Science degree (2010) by using machine learning techniques to classify the opponent's strategy in the RoboCup small size league.
Before going to CMU, I received my first Master's of Science degree (2006) and Bachelor of Computer Science degree (2004) from Instituto de Matemática e Estatística at Universidade de São Paulo under the supervision of Prof. Leliane Nunes de Barros. In this Master's thesis, I introduced a new model for planning under uncertainty in which actions can be either probabilistic, non-deterministic or anything in between. In my research project for undergraduates, I programmed Lego Mindstorm robots using deterministic planners and automatic theorem provers.
Teaching: During my Ph.D. at CMU, I was a TA for Graduate Artificial Intelligence in Spring 2012 and Probabilistic Graphical Models in Fall 2010.
Internships: I did two internships at Google: (i) 2010 in the Pittsburgh office working with regularization for one of their machine learning systems; and (ii) 2011 in the Seattle-Kirkland office working with feature selection for a specific machine learning problem.
研究兴趣
论文共 42 篇作者统计合作学者相似作者
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arxiv(2024)
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Johannes Schmalz,Felipe Trevizan
CoRRno. 18 (2024): 20247-20255
CoRR (2023): 11945-11954
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CoRRno. 18 (2023): 20078-20086
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