LabCompass

Jabir Bin Jahangir

Energy · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

17

Citations

132

Est. group size

~3

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Jabir Bin Jahangir researches solar energy systems, including how solar panels can be integrated into vehicles and buildings and how their performance can be predicted and optimized using data-driven and machine-learning methods. Recent work looks at how city layouts affect the potential for solar panels built into vehicles, and how physics-informed machine learning can estimate the performance of solar farms worldwide using limited, uneven public data. This research is broadly aimed at improving the design, placement, and efficiency of photovoltaic (solar power) technologies.

Photovoltaic (solar panel) system performanceVehicle-integrated and building-integrated solar powerMachine learning for solar energy predictionUrban planning and renewable energy potentialSolar farm performance modeling

Publications were minimal before 2020, then increased and have remained active in recent years, peaking in 2024, suggesting a growing research output over the last decade.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.0/year recently
1718192020: 2 publications20212022: 3 publications222023: 2 publications232024: 6 publications6242025: 2 publications252026: 2 publications26
Publishes in
  • Applied Energy×3
  • Progress in Photovoltaics Research and Applications×1
  • IEEE Access×1
  • IEEE Journal of Photovoltaics×1
  • 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)×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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