LabCompass

Tyamo Okosun

Engineering · Purdue University West Lafayette

Mid career · publishing since 2011Rising activity

Publications

51

Citations

335

Est. group size

Recurring co-author estimate

Active years

16

Publishing since 2011

Research summary
AI-generated

Tyamo Okosun's research focuses on modeling and improving industrial furnace processes used in steelmaking and ironmaking, such as blast furnaces, electric arc furnaces (EAF), and direct reduction iron (DRI) systems. Much of the work relies on computational fluid dynamics (CFD) simulations, along with some machine learning and data-driven approaches, to study heat transfer, melting, gas flow, and refining efficiency in these furnaces. The overall aim is to support process optimization and decarbonization efforts within the steel industry.

Blast furnace and ironmaking process modelingElectric arc furnace (EAF) simulation and optimizationComputational fluid dynamics (CFD) for industrial furnacesMachine learning for process prediction and controlSteel industry decarbonization

Publication output has grown notably over the last decade, rising from just 1-4 papers per year before 2021 to 8-9 papers per year in 2023-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.8/year recently
2017: 2 publications172018: 1 publication182019: 2 publications192020: 1 publication202021: 4 publications212022: 3 publications222023: 8 publications232024: 9 publications9242025: 8 publications252026: 1 publication26
Recent publications
Publishes in
  • ˜The œminerals, metals & materials series×4
  • steel research international×3
  • JOM×3
  • Processes×2
  • Metals×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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