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Associate Professor Rifai Chai

Associate Professor; Academic Director Partnerships (School of Science, Computing and Engineering Technologies)


Associate Professor Rifai Chai is an Associate Professor in Biomedical Engineering and Academic Director (Partnerships) in the School of Science, Computing and Engineering Technologies, Swinburne University of Technology.
Assoc. Prof. Chai explores the brain-body connections through applications in biomedical engineering and artificial intelligence. Also, he has extensive knowledge and experience in designing biomedical devices. From 2000 to 2011, he has worked as product development engineer (hardware, firmware and software design) with industries/companies in Indonesia and Australia. His expertise, teaching experiences and research interests are software/firmware, embedded system, artificial intelligence and machine learning, brain-computer interfaces, medical technologies, robotics and autonomous system.  Current research projects are:

  • Brain-computer interface;
  • Medical device
  • Assistive technology: smart wheelchair (autonomous and semi-autonomous);
  • Driving related research;
  • Cognitive fatigue classification;
  • Back pain assessment and rehabilitation;
  • Biomedical Modelling, Artificial Intelligence and Advanced Computational Intelligence;
  • Artificial Intelligence for Aviation: Pilot workload monitoring;
  • Embedded system.

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.


Available to supervise honours students.

Fields of Research

  • Biomedical Engineering - 400300
  • Artificial Intelligence - 460200

Teaching areas

Biomedical;Mechatronics;Electrical;Embedded System;Programming


Also published as: Chai, Rifai; Chai, R.
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.

Recent research grants awarded

  • 2023: Solar-driven Mobile Charging Pole Design Parameter Optimisation and Prototype Implementation *; FUSION CO FUND SCHEME
  • 2020: A high-payload, high-fidelity haptically-enabled motion simulation facility *; ARC Linkage Infrastructure and Equipment Scheme
  • 2020: Breast Electromagnetic Scanner *; Sichuan Canyearn Medical Equipment Co Ltd

* Chief Investigator

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