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Dr Alireza Lajevardipour

Research Scientist


Dr Lajevardipour is currently a research data scientist at Swinburne, with research projects in computational modelling and THz spctroscopy of biomaterials. He is also contributing in data analytics in healthcare projects using Deep Leaning algorithms. Dr Lajevardipour possesses skills of computer programing and applying computational methods to solve scientific problems, along with experiences in employing microscopy image analytics to study biomaterials.

Research interests

Deep Learning; Machine Learning; Data Science; Image Analytics; Computational Modelling; Microscoy Techniques

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Co-Supervisor.


Available to supervise honours students.

Fields of Research

  • Artificial Intelligence - 460200
  • Statistical Mechanics, Physical Combinatorics And Mathematical Aspects Of Condensed Matter - 490206
  • Atomic, Molecular And Optical Physics - 510200

Teaching areas

Biomedical science;Non-ionising radiation effects/Bioelectromagnetics;Electrodynamics;Modern Physics;Biomedical Imaging;Advanced Biophysics


  • 2018, Swinburne, Vice-Chancellor's Research Excellence (Early Career), Swinburne University of Technology
  • 2016, Swinburne, Vice-Chancellor's Research Excellence (Early Career) Award- highly commended mention , Swinburne University of Technology


Also published as: Lajevardipour, Alireza; Lajevardipour, A.
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

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