LabCompass

Mario Romero

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1985Rising activity
Traffic and Road SafetyTraffic Prediction and Management TechniquesAugmented Reality ApplicationsData Visualization and AnalyticsInteractive and Immersive Displays

Publications

149

Citations

1,693

Est. group size

~1

Recurring co-author estimate

Active years

42

Publishing since 1985

Research summary
AI-generated

Mario Romero works on data visualization, augmented and virtual reality, and human-computer interaction, with recent emphasis on how large language models (LLMs) and conversational AI can support visualization, industrial training, and predictive maintenance. His projects span educational settings (e.g., planetarium and classroom visualizations), industrial applications (manufacturing training, digital twins, surgical navigation), and interaction techniques combining gaze, pen, and immersive displays.

Data visualization and human-computer interactionAugmented and virtual reality applicationsLLM-enabled and conversational AI interfacesIndustrial training and predictive maintenanceImmersive and multimodal interaction techniques

Publication output has grown substantially over the last decade, rising sharply from a handful of papers per year before 2022 to 18 in 2025, indicating an increasing rate of activity in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 9.4/year recently
2017: 6 publications172018: 5 publications182019: 3 publications192020: 4 publications202021: 3 publications212022: 9 publications222023: 5 publications232024: 7 publications242025: 18 publications18252026: 8 publications26
Recent publications
Publishes in
  • SSRN Electronic Journal×5
  • Lecture notes in computer science×4
  • arXiv (Cornell University)×4
  • Zenodo (CERN European Organization for Nuclear Research)×3
  • Sensors×2
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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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