LabCompass

Md Emadur Rahman

Engineering · Purdue University West Lafayette

Mid career · publishing since 2016Rising activity

Publications

17

Citations

134

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Md Emadur Rahman studies the behavior of two-phase flow systems (mixtures of liquid and vapor, such as boiling water) and supercritical fluids (like supercritical carbon dioxide) as they move through heated channels, which is relevant to heat exchangers and cooling systems used in power and refrigeration equipment. This work focuses on understanding unstable or oscillatory behavior in these flows, using mathematical modeling and stability analysis techniques (including nonlinear dynamics and bifurcation analysis) to predict when such systems become unpredictable or prone to pressure fluctuations.

Two-phase flow stabilityBoiling and heat transfer in channelsSupercritical fluid behaviorNonlinear dynamics and bifurcation analysisPressure drop oscillations

Publication output has been modest and somewhat irregular over the last decade, with a cluster of activity in 2018-2019 and 2022-2023 and a recent average of under two publications per year.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
172018: 4 publications4182019: 2 publications192020: 1 publication20212022: 2 publications222023: 3 publications232024: 2 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • International Journal of Heat and Mass Transfer×6
  • Proceeding of Proceedings of the 24th National and 2nd International ISHMT-ASTFE Heat and Mass Transfer Conference (IHMTC-2017)×2
  • Chemical Engineering Science×1
  • Journal of Heat Transfer×1
  • Proceeding of 4th Thermal and Fluids Engineering Conference×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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