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Dr Brendan Wright

Dr Brendan Wright

Postdoctoral Fellow
  • Ph.D. Physics (2018)
    Intelligent Polymer Research Institute, University of Wollongong
    Major: Physics of Excited-States in Condensed-Matter
    Supervision: Prof. Attila Mozer & Assoc. Prof. Tracey Clarke
    Thesis: ”The driving force dependence of charge carrier dynamics in donor-acceptor organic photovoltaic systems using optical and electronic techniques”
     
  • B. Nanotechnology Honours (2011)
    School of Chemistry and Molecular Bioscience, University of Wollongong
    Major: Computational Chemistry
    Supervision: Assoc. Prof. Haibo Yu
    Thesis: ”Development of a polarisable force field for Nafion”
Engineering
Photovoltaic and Renewable Energy Engineering

Research data scientist and machine learning engineer; background in experimental physics, signals analysis, and software engineering; professional experience in technical consulting, business process automation, and data analytics; a passion for generative learning models and computational optimisation.
Phone
+61411231289
E-mail
brendan.wright@unsw.edu.au
Location
210WS19, TETB

  • Australian Renewable Energy Agency (ARENA) R&D Project Grant, "Machine learning applications for utility-scale PV", RG220681, Dec 2022
  • Australian Centre for Advanced Photovoltaics (ACAP) Industrial Collaboration Grant, "End-of-Life Classification of Solar Panels", Mar 2022

  • Winning Entry, 1st International Eurovision AI Song Contest, hosted by VPRO, Netherlands, May 2020; ”Beautiful the World” available at youtu.be/sAzULywAHUM; Australian team as collaboration between academics at RMIT and UNSW, and industry partner Uncanny Valley; personal contribution included developing raw audio and song structure generation capabilities with learning algorithms.

Current research at UNSW focuses on the study of electrochemical defect mechanisms in silicon photovoltaics; modelling state-space dynamics using generative representation learning to investigate underlying physical mechanisms; more broadly, utilising recent developments in machine learning to model complex dynamic systems.

My Research Supervision

  • Chukwuka Madumelu; secondary supervision of doctoral candidate in photovoltaic engineering, University of New South Wales, 2019-2022