Artur W. Dubrawski
Alumni Research Professor of Computer Science
Develops machine learning and data analytics for health, safety and anomaly detection.
Artur W. Dubrawski's lab at CMU works on recognition, detection & segmentation and data management & big data. 11 papers since 2023, 3 at top venues, mostly NeurIPS and ICLR. 47 PhD students and 24 master's students. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 27%
- PhD students
- 47
- MS students
- 24
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 2
- 2 papers2024 · T1 0
- 1 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICLR, Knowledge-Based Systems, RA-L
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation1 paper
- Data management & big data0 papers
- anomaly0 papers
- anomaly detection0 papers
- data analytics0 papers
Paper list
From the lab homepage.
20258 papers
- Critical Care Medicine1278: FEASIBILITY OF DEVELOPING AN ALERT BURDEN INDEX TO ASSIST NURSE-PATIENT ASSIGNMENTS
- Critical Care Medicine1282: TYPES OF AUDIBLE PATIENT MONITOR ALERTS ENCOUNTERED IN A STEP-DOWN UNIT
- Critical Care Medicine1463: EVALUATING HYPOXEMIA BURDEN AS A MORTALITY PREDICTOR IN STEP-DOWN UNITS
- Conference on Health, Inference, and LearningBridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection
- ICLR (T1)Conflict-Averse Gradient Aggregation for Constrained Multi-objective Reinforcement Learning
- NeurIPS (T1)Improving Model-Based Reinforcement Learning by Converging to Flatter Minima
- FedKDD Workshop at the SIGKDD Conference on Knowledge Discovery and Data MiningMitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning
- RA-LPlaybook: Scalable Discrete Skill Discovery From Unstructured Datasets for Long-Horizon Decision-Making Problems
20242 papers
- Workshop on Explainable and Robust AI for Industry 4.0 & 5.0 (X-RAI) at Joint European Conference on Machine Learning and Knowledge Discovery in DatabasesA SAT-based approach to rigorous verification of Bayesian networks
- Knowledge-Based SystemsSemantic Environment Atlas for Object-Goal Navigation
20231 paper
- NeurIPS (T1)Diffused Task-Agnostic Milestone Planner
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Data
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- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
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- Verified
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- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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