Artur Dubrawski
Director (Auton Lab), Systems Scientist (Robotics Institute) and Adjunct Professor (Heinz College)
Biography
Artur Dubrawski received a Ph.D. in robotics and automation from the Institute of Fundamental Technological Research, Polish Academy of Sciences, and a M.Sc. in aircraft engineering from Warsaw University of Technology. Artur considers himself a scientist and a practitioner; he has been tainted with some real world entrepreneurial experiences. He had started up a small company which turned out successful in integration and deployment of advanced computerized control systems and novel technological devices. He had also been affiliated with startups incorporated by others: Schenley Park Research, a data mining consultancy and a CMU spin-off, where he was a scientist; and (more recently) with Aethon, a company building robots to automate transportation in hospitals, where he served as a Chief Technical Officer. Artur returned to CMU in 2003 to join the Robotics Institute's Auton Lab. He works on a range of applied data mining endeavors and teaches data mining to graduate students at the CMU Heinz School (in fact, he has been doing that since 2000). In his previous academic life, he worked mainly on machine learning approaches to mobile robot navigation and control, as well as on other applications of adaptive autonomous systems. In 1995/96 Artur spent a year at CMU (obviously, with the Auton Lab) as a visiting Fulbright scholar. In January 2006 Artur Dubrawski was named the director of the Auton Lab.
Research Interests
I am interested in autonomous systems that work, are useful and make economic sense, and in finding ways to effectively build and deploy them.
Tags
Active Learning, Applications, Association Rules, Biosurveillance, Dynamic Social Networks, Food Safety, GDA, Health of Equipment, Link Analysis, Link Analysis, Locally Weighted Learning, Memory-based Learning, Mixture Models, Nuclear Safety, Optimization, Social Networks
Recent Papers
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Learning Compressible Models
(2010)
Learning Compressible Models -
Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food
(2009)
Best paper award, ASONAM 2009 -
T-Cube Web Interface in Support of Real-Time Bio-surveillance Program
(2009)
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Evolution of a Useful Autonomous System
(2009)
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Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
(2008)
A semi-supervised learning algorithm on text - (7 more)
Software
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AFDL (Activity From Demographics and Links)
Predicting activity of entities from linkages between entities and their demographics -
Vizier
Old but fast locally weighted regression for Windows. -
TCWI (T-Cube Web Interface)
Front end for interactive visualization, navigation, and analysis of multidimensional time series data