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Esmaeel Fatahian

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Esmaeel Fatahian

Research Assistant, Dr,

 https://orcid.org/0009-0004-6984-5113

  • University of Huddersfield
    Queensgate
    Huddersfield
    HD1 3DH

    United Kingdom

Accepting PhD Students

PhD projects

1- Hybrid CFD–AI Methods for Wind Energy Systems 2- Aerodynamics and Aeroacoustics 3- Multiphase and Particle-Laden Flow Modelling 4-CFD–Digital Twin Prediction of Thermal Comfort and Indoor Air Quality in Smart Buildings

20182026

Research activity per year

Personal profile

Biography

I am a Research Assistant in the Energy, Emissions, and Environment Research Group (EEERG) at the University of Huddersfield, specializing in the integration of engineering, renewable energy, health, and sustainability. My research expertise lies in fluid dynamics, computational fluid dynamics (CFD), aerodynamics, and multi-phase flows, with a particular focus on the hybrid optimization of wind turbine systems through machine learning. By integrating high-fidelity simulations, data-driven modeling, and digital twin frameworks, I develop predictive and optimization methodologies to enhance indoor air quality, advance sustainable building retrofits, and improve energy efficiency. My work seeks to bridge fundamental fluid mechanics with real-world engineering applications, contributing to measurable advancements in health, environmental policy, and sustainable energy systems.

Research Degree Supervision

If you are interested in studying for a PhD in this research subject area, please visit: https://pure.hud.ac.uk/en/organisations/centre-for-thermofluids-energy-systems-and-high-performance-compu

Google Scholar h-Index

20from 1,030 citations 

Last updated 20th March 2026

Education/Academic qualification

PhD, Advanced Data-Driven Modeling and Optimization of Darrieus Wind Turbine Pairs: Aerodynamic, Aeroacoustic, and Erosion Perspectives, School of Computing and Engineering

Award Date: 9 Apr 2026

Research Expertise and Interests

  • Computational Fluid Dynamics
  • Aerodynamics
  • Turbulence Modeling
  • Active and Passive Flow Control
  • Gas Cyclone Separator
  • Fluid Dynamics
  • Wind turbines
  • Digital twins and machine learning
  • Machine Learning & AI
  • Indoor Air Quality
  • Thermal comfort
  • Particle Dispersion

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  5. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  6. SDG 13 - Climate Action
    SDG 13 Climate Action

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Collaborations and top research areas from the last five years

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  • 34 Article
  • 4 Review article
  • 1 Chapter
  • 1 Conference contribution
View all 40 research outputs
  • 1 Poster presentation