Miguel Araújo - Carnegie Mellon School of Computer Science

Miguel Araújo - Carnegie Mellon School of Computer Science

Miguel Araújo
Rua Nova de Jaca, 79 – 4415-278 Vila Nova de Gaia, Portugal
H +351 919117733 • B [email protected]
Í www.cs.cmu.edu/~maraujo
Education
Carnegie Mellon University and University of Porto
Dual PhD in Computer Science part of the CMU|Portugal program
Pittsburgh and Oporto
2012–2017 (expected)
Area: Graph Mining and Knowledge Extraction
Advisors: Prof. Christos Faloutsos and Prof. Pedro Ribeiro
University of Porto
Integrated Master in Informatics and Computing Engineering, 18.36/20
Oporto
2007–2012
Thesis: Understanding behavior via Inverse Reinforcement Learning
Advisor: Prof. Rosaldo Rossetti
Research Interests
My research is focused on mining patterns and anomalies in static or temporal graphs with applications
to social network analysis and fraud discovery. In my work I apply a variety of standard data mining
and machine learning techniques, but particularly matrix and tensor decompositions or other clustering
methods on high-dimensional data.
Technical skills
Broad knowledge of Artificial Intelligence, Data Mining, Algorithms and Data Structures.
Main Programming Languages: C, C++, Java, Python, Matlab, SQL
Typesettings and Operating Systems: LATEX, Microsoft Office, Windows, Linux
Academic & Research Experience
Carnegie Mellon University and University of Porto Pittsburgh, USA and Porto, Portugal
Graduate Researcher
2012–present
Graduate Researcher at Carnegie Mellon University and University of Porto with Prof. Christos Faloutsos
and Prof. Pedro Ribeiro. My work is focused on the development of algorithms to describe the evolution of
communities on large social network data and on finding patterns and outliers among those communities.
Carnegie Mellong University
Teaching Assistant
Pittsburgh, PA
2013-2014
Teaching Assistant of 15-451 - Algorithms, instructed by Professors Avrim Blum and Anupam Gupta.
Faculty of Engineering of the University of Porto
Undergraduate Teaching Assistant
Oporto
2010–2011
Undergraduate Teaching Assistant for the Algorithm Design and Analysis and Graphical Applications Laboratory
courses.
LIACC - Artificial Intelligence and Computer Science Laboratory
Undergraduate Researcher
Oporto
2009–2010
Integration in Research grant supported by FCT (Foundation for Science and Technology, Portuguese Ministry
of Education and Science).
Publications
Conference Publications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1. Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos. Beyond Blocks:
Hyperbolic Community Detection. ECML/PKDD 2014, Nancy, France.
2. Miguel Araujo, Spiros Papadimitriou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu,
Ananthram Swami, Evangelos Papalexakis, Danai Koutra. Com2: Fast Automatic Discovery of
Temporal (Comet) Communities. PAKDD 2014, Tainan, Taiwan. Runner-up best student
paper award.
3. Siyuan Liu, Miguel Araújo, Ramayya Krishnan, Emma Brunskill, Rosaldo Rossetti and João Barros,
Understanding Sequential Decisions via Inverse Reinforcement Learning, 14th iEEE International
Conference on Mobile Data Management 2013, Milan, Italy.
4. Ivo Timóteo, Miguel Araújo, Rosaldo Rossetti, Eugénio Oliveira, Using TraSMAPI for Developing
Multi-Agent Intelligent Traffic Management Solutions, Advances in Practical Applications of Agents
and Multiagent Systems 2011, vol.88, Springer.
5. Ivo Timóteo, Miguel Araújo, Rosaldo Rossetti, Eugénio Oliveira, TraSMAPI: An API Oriented
Towards Multi-Agent Systems Real-Time Interaction with Multiple Traffic Simulators, 13th International IEEE Annual Conference on Intelligent Transportation Systems, September 19-22, 2010,
Madeira Island, Portugal.
Journal Publications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1. Ivo Timóteo, Miguel Araújo, Rosaldo Rossetti, Eugénio Oliveira, Using TraSMAPI for the
Assessment of Multi-Agent Traffic Management Solutions. Journal Progress in Artificial Intelligence,
vol. 1, issue 2, 2012, Springer.
Thesis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1. Understanding behavior via Inverse Reinforcement Learning, graded 19/20. Supervised by Prof.
Rosaldo Rossetti (University of Porto).
Under submission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1. Miguel Araújo, Spiros Papadimitiou, Stephan Günnemann, Christos Faloutsos, Prithwish Basu,
Ananthram Swami, Evangelos E. Papalexakis, Danai Koutra, Com2: Fast Automatic Discovery of
Temporal (’Comet’) Communities. Submitted, 2013.
Main Awards and Distinctions
Merit Scholarship: Faculty of Engineering of the University of Porto (given to 1 in each 500
students) 2009, 2010.
Bronze Medalist - ACM Southwestern Europe Regional Contest: Madrid, 2010.
University Representant - ACM Southwestern Europe Regional Contest: Portugal, 2007,
Germany, 2008, Spain, 2009, 2010, 2011.
Portuguese Representant - IOI: International Olympiads in Informatics, Mexico, 2006, Croatia,
2007.
Silver Medal - CIIC: Iberoamerican Informatics Contest, Argentinean Informatic Olympiads, 2006.
Personal Interests
Travelling, Go (board game), Online games, Scientific reading, Fantasy novels.
Language
Portuguese: Native speaker
English: Fluent, Cambridge First Certificate (2006), TOEFL (113/120 (2011))
Spanish: Intermediate speaking and reading fluency; basic writer
French: Basic