LabCompass

Aaron D. Brovont

Engineering · Purdue University West Lafayette

Mid career · publishing since 2013

Publications

43

Citations

468

Est. group size

~6

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Aaron D. Brovont works on power electronics, focusing on electromagnetic interference (EMI) — unwanted electrical noise generated by circuits like converters and inverters. His research examines how to model, measure, and reduce this noise (particularly 'common-mode' noise, a type of interference that travels through ground paths) in systems using silicon carbide and other wide-bandgap semiconductor devices, which are used in efficient power conversion for applications like electric ships and motors. Students in this area would likely work on circuit modeling, filter design, and experimental testing of power converters.

Electromagnetic interference (EMI) in power electronicsCommon-mode noise modeling and cancellationWide-bandgap semiconductor devices (silicon carbide)DC-DC converter and inverter designPower module and filter design

Publication output has been steady over the last decade, consistently producing 3-5 papers per year without a clear upward or downward trend.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 5 publications5172018: 3 publications182019: 3 publications192020: 4 publications202021: 3 publications212022: 5 publications5222023: 4 publications232024: 4 publications242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • IEEE Transactions on Power Electronics×4
  • IEEE Journal of Emerging and Selected Topics in Power Electronics×2
  • IEEE Transactions on Energy Conversion×1
  • IEEE Electrification Magazine×1
  • IEEE Transactions on Transportation Electrification×1
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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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