LabCompass

Meghana Sudarshan

Engineering · Purdue University West Lafayette

Early career · publishing since 2021Rising activity

Publications

14

Citations

111

Est. group size

~4

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Meghana Sudarshan works on battery technologies, including battery materials, degradation, and fault diagnosis, with recent work applying machine learning to detect and predict battery problems using limited data. This research area also touches on electric vehicle infrastructure. The work is engineering-focused, combining materials science with data-driven analysis methods.

Battery materials and technologyBattery degradation and fault diagnosisMachine learning for engineering applicationsElectric vehicle infrastructureLow-data/data-efficient modeling methods

Publication output grew from none in the early part of the decade to a peak of 4 in 2023, and has since remained steady at 2-3 per year through 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 2.6/year recently
171819202021: 1 publication212022: 1 publication222023: 4 publications4232024: 3 publications242025: 3 publications252026: 2 publications26
Publishes in
  • Journal of Energy Storage×2
  • ECS Meeting Abstracts×2
  • Scientific Reports×1
  • Energy×1
  • eTransportation×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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