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Dr Ramin Norouzi

 PhD, MRAeS
Research Fellow in AI Flight Control

Research interests

  • AI-driven guidance and control methods for flying vehicles
  • Machine Learning-based failure-adaptive flight envelope estimation techniques
  • Control strategies for in-flight reconfiguring eVTOL

More research

Connect with Ramin

Email: R.Norouzi@soton.ac.uk

Google Scholar
ORCID
LinkedIn

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About Research Publications Supervision Teaching External roles and responsibilities Biography
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About

Ramin Norouzi is a Research Fellow at the Department of Aeronautics and Astronautics at the University of Southampton.

His research focuses on utilising Machine Learning to develop AI-based adaptive flight controller for eVTOL aircraft.

He is experienced in applying AI techniques to aerospace applications, has a deep understanding of flight dynamics and control systems, and a background in the design and modelling of eVTOL platforms.

Dr Norouzi is an established peer reviewer of top-tier aerospace & engineering journals with more than 100 verified peer reviews. He is a Member of the Royal Aeronautical Society, Senior Member of AIAA and a Member of AIAA Atmospheric Flight Mechanics Technical Committee, Member of IEEE and IEEE Aerospace and Electronic Systems Society.

You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.

Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

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