Artur Dubrawski
Systems Scientist (Robotics Institute) and Adjunct Professor (Heinz School of Public Policy and Management)
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 ended up being quite 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 off-spring, 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 last Summer to join the Robotics Institute's Auton Lab as a Project Scientist. He works on a range of applied data mining endeavors and teaches data mining to graduate students enrolled in the CMU MISM program (in fact, he has been doing that since 2000 as an adjunct). 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 as a visiting Fulbright scholar. He actively published scientific papers until his departure to the industrial world in 1999, and he certainly hopes to resume publishing any time now.
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, GDA, Link Analysis, Locally Weighted Learning, Memory-based Learning, Mixture Models, Optimization
Recent Papers
-
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)
-
Evolution of a Useful Autonomous System
(2009)
-
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
(2008)
A semi-supervised learning algorithm on text - (7 more)
Software
-
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