LabCompass

Greg Shaver

Chemical Engineering · Purdue University West Lafayette

OpenAlex
Established · publishing since 1993Rising activity
Advanced Combustion Engine TechnologiesVehicle emissions and performanceBiodiesel Production and ApplicationsElectric and Hybrid Vehicle TechnologiesHydraulic and Pneumatic Systems

Publications

27

Citations

105

Est. group size

~1

Recurring co-author estimate

Active years

34

Publishing since 1993

Research summary
AI-generated

Greg Shaver's research focuses on making trucks, off-road vehicles, and large engines run more efficiently and cleanly, combining combustion engine technology with hybrid-electric and automated vehicle systems. Recent work spans engine control systems, machine learning for engine component modeling, truck platooning (vehicles traveling in coordinated groups to save fuel), and autonomous vehicle testing infrastructure. This work sits at the intersection of mechanical/chemical engineering, controls, and transportation technology.

Combustion engine efficiency and emissionsHybrid and electric vehicle integrationTruck platooning and connected/automated vehiclesEngine control systems and fault toleranceMachine learning for engine modeling

Publication output was low and intermittent for several years (2019-2023) but increased notably in 2024, suggesting a recent resurgence in activity after a slower period.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
2017: 2 publications172018: 2 publications1819202021: 1 publication2122232024: 6 publications6242025: 1 publication252026: 2 publications26
Recent publications
Publishes in
  • SSRN Electronic Journal×4
  • SAE International journal of commercial vehicles×2
  • Purdue e-Pubs (Purdue University System)×2
  • Purdue e-Pubs (Purdue University)×2
  • International Journal of Systems Science×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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