LabCompass

Shawn Midlam‐Mohler

Engineering · The Ohio State University

OpenAlex
Mid career · publishing since 2002Rising activity
Electric and Hybrid Vehicle TechnologiesAdvanced Combustion Engine TechnologiesVehicle emissions and performanceReal-time simulation and control systemsElectric Vehicles and Infrastructure

Publications

95

Citations

1,105

Est. group size

~2

Recurring co-author estimate

Active years

24

Publishing since 2002

Research summary
AI-generated

Shawn Midlam-Mohler's research focuses on vehicle powertrain engineering, including hybrid and electric vehicle control systems, engine efficiency, and testing methods for automated and connected vehicles. Much of the work is applied and system-engineering oriented, often involving simulation, hardware-in-the-loop testing, and model-based design for real-world automotive applications. This research area would suit students interested in practical vehicle engineering problems spanning mechanical control systems, energy efficiency, and emerging autonomous driving technologies.

Hybrid and electric vehicle powertrain controlEngine efficiency and emissionsAutonomous and connected vehicle systemsModel-based design and simulation testingVehicle-to-infrastructure and traffic systems

Publication output has remained fairly steady over the last decade, with a modest but consistent pace of roughly 3-5 papers per year 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 3.2/year recently
2017: 5 publications5172018: 1 publication182019: 4 publications192020: 1 publication202021: 4 publications212022: 3 publications222023: 5 publications5232024: 4 publications242025: 4 publications2526
Recent publications
Publishes in
  • SAE technical papers on CD-ROM/SAE technical paper series×16
  • arXiv (Cornell University)×3
  • International Journal of Engine Research×2
  • IET Intelligent Transport Systems×1
  • Applied Sciences×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 19, 2026.

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