Artur W. Dubrawski
Artur W. Dubrawski is a computer scientist whose machine-learning research applies data analysis to health care and equipment safety. He spent 1995–1996 as a visiting Fulbright scholar at Carnegie Mellon's Robotics Institute, returned to CMU in 2003, and became director of the Auton Lab in 2006. His work includes aerospace failure alerts, Army predictive maintenance, the MOMENT time-series models, autonomous trauma care, robotic vascular access and AI for mineral exploration. As of October 2026, he is an Alumni Research Professor of Computer Science at the Robotics Institute and leads the Auton Lab and GEM-AI.
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Timeline
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1995–1996
Fulbright at Carnegie Mellon
He spends 1995–1996 as a visiting Fulbright scholar at Carnegie Mellon's Robotics Institute.
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2003–2006
Returning to direct Auton Lab
After serving as chief technology officer at Aethon, which builds robots for hospital transport, he returns to CMU in 2003 and joins the Robotics Institute's Auton Lab. By 2006, he holds a Ph.D. in robotics and automation from the Polish Academy of Sciences' Institute of Fundamental Technological Research and an M.Sc. in aircraft engineering from Warsaw University of Technology; in January 2006, he becomes the lab's director.
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2011
Early warnings in aerospace
In 2011, he coauthors a paper that adapts mathematics from public-health surveillance to find systematic failures in aerospace components. Its data-driven methods allow maintenance and supply managers to receive earlier warnings about emerging problems and prioritize investigations.
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2021–2022
A professorship and Army project
Carnegie Mellon announces in 2021 that he will receive the Alumni Research Professorship of Computer Science. In 2022, he leads a three-year, $10.5 million U.S. Army project to extend predictive-maintenance techniques to ground vehicles and power generators.
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2024
MOMENT time-series models
In 2024, he coauthors MOMENT, an open-source family of foundation models for general-purpose time-series analysis.
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2024
Autonomous trauma care
In 2024, he leads CMU's role in testing an autonomous trauma-care system. The team's machine-learning algorithm uses an individual's vital signs to personalize treatment during emergency transport.
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2025
Robotic vascular access
In 2025, he coauthors a study that reports successful femoral vein and artery cannulation in a porcine hemorrhagic-shock model using robotic ultrasound.
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As of October 2026
Professor and GEM-AI leader
In July 2026, he leads GEM-AI, an agentic system that combines AI, geology, microbiology and remote sensing to identify critical mineral deposits. As of October 2026, he is an Alumni Research Professor of Computer Science at Carnegie Mellon's Robotics Institute and directs the Auton Lab. His research addresses public health, food safety, nuclear safety and equipment health.
Career
- Since 1995Carnegie Mellon UniversityVisiting Fulbright Scholar, Alumni Research Professor of Computer Science
- AethonChief Technology Officer
Education
- 2006Polish Academy of SciencesPh.D. in Robotics and Automation
- Warsaw University of TechnologyM.Sc.
Sources and credits
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- Lata 90. Cykl #FulbrightDekady
- Robotics Institute Seminar, September 8, 2006
- SCS Celebrates Simon, Alumni Research Professorships
- Techniques for Early Warning of Systematic Failures of Aerospace Components
- $10.5M Army Contract to CMU Lab Will Expand Use of AI in Predictive Maintenance
- MOMENT: A Family of Open Time-series Foundation Models
- Autonomous Trauma Care Extends ‘Golden Hour’ for Saving Lives
- Automatic Cannulation of Femoral Vessels in a Porcine Shock Model
- Harnessing AI to Find Critical Minerals
- Artur W. Dubrawski - The Robotics Institute - CMU
- Auton Lab - Robotics Institute Carnegie Mellon University

