Artur Dubrawski

awd@cs.cmu.edu

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 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.

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

Papers

• A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data (2007)
  NSF Biosurveillance Workshop 2007
• Monitoring Food Safety by Detecting Patterns in Consumer Complaints (2006)
  
• Efficient Analytics for Effective Monitoring of Biomedical Security (2005)
  Applying WSARE, SSS, TipMonitor to biomedical security
• Learning Predictive Models from Small Sets of Dirty Data (2005)
  
• Memory based Stochastic Optimization for Validation and Tuning of Function Approximators (1997)
  

Software

• Vizier
  Old but fast locally weighted regression for Windows.