        |
     |
In Short
Matteo Matteucci, was born in Nuoro (Italy) on 23rd April 1974. He got a Laurea Degree in Computer Engineering at Politecnico di Milano (Milano - Italy) in 1999. In 2002 he got a Master of Science in Knowledge Discovery and Datamining at Carnegie Mellon University (Pittsburgh, PA - USA). From 1999 to 2003, he attended the PhD Program in Computer Engineering and Automation at Politecnico di Milano (Milano - Italy). Eternally divided between Robotics and Machine Learning (a.k.a. Knowledge Discovering, Data Mining, Soft Computing, etc. etc.), he's actually working on both mainly applying, in a practical way, techniques for adaptation and learning to software systems and autonomous robots.
Education [Top]
- 2000 - 2003: PhD Student in "Computer Engineering and Automation" at Politecnico di Milano, Italy
- PhD Thesis Title: "Evolutionary Learning of Adaptive Models within a Bayesian Framework"
- International Schools Attended:
- International Summer School on Neural Network "E.R. Caianiello": Visual Attention Mechanism organized by the International Institute for Advanced Scientific Studies (IIASS)
- School on Neural Networks and Statistical Methods organized by the Statistics Italian Society (SIS)
- Course on Elements of Non-linear Dinamics: Stability, Bifourcations and Caos organized by the Italian Society Caos and Complexity (SICC), Foundation ENI Enrico Mattei (FEEM) and the Department of Electronics and Information of Politecnico di Milano
- European Summer School on Cooperative Robotics organized by the European Robotics Research Network (EURON)
- International Summer School on Neural Network "E.R. Caianiello": Ensemble Methods for Learning Machines organized by the International Institute for Advanced Scientific Studies (IIASS)
- Graduate Courses Attended:
- Software Engineering (Prof. Mauro Pezzè)
- Discrete Mathematics (Prof. Marco Somalvico)
- 2001 - 2002: Master of Science in Knowledge Discovery and Datamining at Carnegie Mellon University, PA
- MS Thesis Title: "Evolutionary Learning of Rich Neural Network Topologies"
- Graduate Courses Attended:
- Machine Learning (Prof. Andrew Moore)
- Planning Execution and Learning (Prof. Reid Simmons and Prof. Manuela Veloso)
- Intermediate Statistics (Prof. Christopher Genovese)
- Statistical Approaches to Learning and Discovery (Prof. Teddy Seidenfeld and Prof. Zoubin Ghahramani)
- Multimedia Databases (Prof. Christos Faloutsos)
- KDD LAB (Prof. Tom Mitchell)
- 1993 - 1999: Laurea degree in "Computer Engineering at Politecnico di Milano, Italy
- Laurea Thesis Title: "Fuzzy and crisp knowledge representation in reinforcement learning algorithms applied to situated agents". Graduate marks: 100/100 cum laude
- 1988 - 1993: Liceo Scientifico Statale "G.B. Grassi", Saronno I, Diploma degree Maturità Scientifica, marks 58/60
Teaching Activities [Top]
- 2002 - 2003: Teaching Assistant for the Knowledge Engineering and Expert Systems courses (Prof. Andrea Bonarini) in the Graduate Program in Computer Engineering at Politecnico di Milano
- 1999 - 2001: Teaching Assistant for the Computer Science and Fundamentals of Computer Science courses (Prof. Andrea Bonarini) in the Graduate Program in Computer Engineering at Politecnico di Milano
- 1999 - 2000: Teaching Assistant for the Artificial Intelligence course (Prof. Marco Somalvico) in the Graduate Program in Computer Engineering at Politecnico di Milano
Academic Positions and Affiliations [Top]
- 2000 - 2003: Member of Artificial Intelligence Italian Association (AI*IA)
- 1999 - 2003: Member of the Politecnico di Milano Artificial Intelligence and Robotics Laboratory (PMAI&R Lab)
Professional Accomplishments, Honors, and Awards [Top]
- 2002 - 2003: Winner of a one-year Research Fellowship for Young Researcher from Politecnico di Milano. Research title: "Self-Adaptation in Dynamic Environment Using Transductive Learning and Boosting"
- 2001 - 2002: Winner of Rotary an Academic-Year Ambassadorial Scholarship for one academic year of study in a foreign country