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DrAdrian Bingham

Research Fellow

Deakin Applied Artificial Intelligence Initiative/Applied Artificial Intelligence Initiative (Burwood)

Orcid identifier0000-0003-4581-2750 (opens in a new tab)⁠
  • Research Fellow
    Deakin Applied Artificial Intelligence Initiative/Applied Artificial Intelligence Initiative (Burwood)
  • +61 3 924 68613 (Work)
  • Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125

BIO

Dr Adrian Bingham completed his Electrical and Electronic Engineering PhD in 2019, focusing on developing novel techniques for High-Density Surface Electromyography (HD-sEMG) that used entropy as a measure of similarity between signals. For 2.5 years after completing his PhD, he worked at RMIT University on various projects which involved multimodal information fusion, developing autonomous drones with their own radio network, and developing Frequency-Modulated Continuous Wave (FMCW) radar using a Software-Defined Radio (SDR). He then joined A2I2 at Deakin University in early 2022. Initially he worked on developing decision support systems. However, he is now focused on generative Artificial Intelligence (AI) applications and AI in digital health. Since joining Deakin, he was also the technical lead in the setting up of Deakin’s Advanced Tracking and Localization of Animals in real-life System (ATLAS) and currently continues to advise on its maintenance.

DEAKIN UNIVERSITY CURRENT APPOINTMENT

  • Research Fellow
    Deakin University, Applied Artificial Intelligence Initiative (Burwood)

ACADEMIC POSITIONS

  • Research Officer
    RMIT University, School of Engineering, Melbourne, Australia16 Sep 2020 - 1 Oct 2021
  • Research Officer
    RMIT University, School of Science, Melbourne, Australia3 Jun 2019 - 7 Aug 2020

DEGREES

  • PhD, Electrical and Electronic Engineering
    RMIT University, Melbourne, Australia16 Feb 2015 - 18 Dec 2019
  • Bachelor of Engineering (Honors), Computer and Network Engineering
    RMIT University, Melbourne, Australia1 Mar 2010 - 17 Dec 2014

FIELDS OF RESEARCH

  • Biomedical engineering
  • Signal processing
  • Decision support and group support systems
  • Artificial intelligence

AREA/FACULTY

  • Research and Innovation

DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE

  • Deakin Applied Artificial Intelligence Initiative

AREAS OF EXPERTISE