基本信息
views: 65
Career Trajectory
Bio
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.
Research Interests
Papers共 43 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
International Joint Conference on Artificial Intelligencepp.6724-6732, (2024)
Proceedings of the International Conference on Automated Planning and Scheduling/Proceedings of the International Conference on Automated Planning and Scheduling (2024): 68-76
Load More
Author Statistics
#Papers: 43
#Citation: 667
H-Index: 17
G-Index: 25
Sociability: 4
Diversity: 2
Activity: 22
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn