LabCompass

Behnam Jahangiri

Engineering · Purdue University West Lafayette

Mid career · publishing since 2016

Publications

37

Citations

1,068

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Behnam Jahangiri's research focuses on asphalt materials and pavement engineering, including how asphalt binders and mixtures age, deform, and perform under traffic and temperature changes. The work combines laboratory testing, chemical and mechanical characterization, and computational tools such as machine learning and finite element modeling to evaluate and predict pavement performance. Applications include recycled and rubber-modified asphalt, mixture design frameworks, and infrastructure like embedded wireless power transfer in roads.

Asphalt binder and mixture performancePavement aging and durabilityMachine learning applications in pavement engineeringRecycled and rubber-modified asphalt materialsPavement testing and modeling methods

Publication output rose sharply to a peak in 2021 and has since declined to a steadier, lower rate of about 2 papers 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 2.2/year recently
2017: 1 publication172018: 3 publications182019: 5 publications192020: 4 publications202021: 10 publications10212022: 2 publications222023: 3 publications232024: 2 publications242025: 2 publications252026: 2 publications26
Recent publications
Publishes in
  • Construction and Building Materials×10
  • Transportation Research Record Journal of the Transportation Research Board×6
  • Measurement×4
  • Road Materials and Pavement Design×3
  • MOspace Institutional Repository (University of Missouri)×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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