LabCompass

Deepak Ravikumar

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1994Rising activity
Concrete and Cement Materials ResearchAdversarial Robustness in Machine LearningAnomaly Detection Techniques and ApplicationsInnovative concrete reinforcement materialsMagnesium Oxide Properties and Applications

Publications

30

Citations

1,005

Est. group size

~2

Recurring co-author estimate

Active years

33

Publishing since 1994

Research summary
AI-generated

Deepak Ravikumar works on machine learning reliability, including how to detect labeling errors in datasets, understand which data samples are vulnerable to hardware-induced noise, and build robust and efficient AI systems. Related work also touches on resource management for large-scale cloud computing services. The listed materials-science topics (concrete, cement, magnesium oxide) do not appear connected to the recent publication titles and may reflect noisy topic-classification data rather than active research areas.

Machine learning robustness and reliabilityData quality and annotation error detectionHardware-aware machine learningAdversarial robustnessCloud resource provisioning systems

Publication output was minimal or absent before 2020 but has grown noticeably since 2022, peaking with 6 publications in 2024 and continuing at a similar pace into 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
1718192020: 2 publications20212022: 2 publications222023: 2 publications232024: 6 publications6242025: 4 publications252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×11
  • IEEE Access×1
  • IEEE Transactions on Artificial Intelligence×1
  • Proceedings of the VLDB Endowment×1
  • Proceedings of the AAAI Conference on Artificial Intelligence×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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