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Hossein Fatahian

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Hossein Fatahian

Research Assistant, Dr, BEng MSc PhD, Dr

 https://orcid.org/0009-0006-2071-2672

  • University of Huddersfield
    Queensgate
    Huddersfield
    HD1 3DH

    United Kingdom

Accepting PhD Students

PhD projects

EPSRC DTP Funded PhD Studentship: Project title: Advanced Design Strategies for Next-Generation Offshore Horizontal-Axis Wind Turbines and Self-funded projects: (1) Biological fluid flow, (2) Application of machine learning in wind energy systems, (3) CFD modelling of the polishing process

20182026

Research activity per year

Personal profile

Biography

As a Research Assistant in the School of Computing and Engineering at the University of Huddersfield, United Kingdom, I specialize in applying advanced Computational Fluid Dynamics (CFD) techniques to solve complex engineering problems. My research interests encompass turbulence modeling, aerodynamics, particle-laden flows, and renewable energy technologies.

Currently, I am focused on leveraging data-driven, multi-objective optimization methods to enhance the aerodynamic and aeroacoustic performance of wind turbines. This work aims to contribute to the development of sustainable energy solutions by improving efficiency and minimizing noise pollution in renewable energy systems.

With a strong foundation in simulation and analysis, I am passionate about driving innovation in renewable energy and collaborating on impactful projects that address global energy challenges.

Google Scholar h-Index

18 from 894 citations 

Last updated 20th March 2026

Research Degree Supervision

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For more details about the research topics, expertise and interests of this academic, click on the https://pure.hud.ac.uk/en/persons/hossein-fatahian/fingerprints/

Education/Academic qualification

PhD, A Data-Driven Approach to Multi-Objective Optimization of Aerodynamics and Aeroacoustics Characteristics in Dual Savonius Wind Turbines Using LES and Machine Learning, University of Huddersfield

Award Date: 25 Jul 2025

Research Expertise and Interests

  • Fluid Dynamics
  • Aerodynamics
  • Computational Fluid Dynamics
  • Aeroacoustics
  • Renewable Energy Technologies
  • Multi-phase flows
  • Turbulence
  • Wind turbines
  • Boundary layer flow
  • Flow diagnostics
  • Sslurry based polishing process
  • Artificial Neural Networks
  • Fluid and thermal systems
  • Digital twins and machine learning
  • Multiphase and multi components flow systems
  • Flow control

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

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Collaborations and top research areas from the last five years

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  • 32 Article
  • 4 Review article
  • 2 Conference contribution
  • 1 Chapter
View all 39 research outputs
  • 3 Oral presentation
  • 1 Participating in a conference, workshop, ...