Assoc Prof
Rifai ChaiProfile page
Associate Professor, Biomedical Engineering
School of Engineering
Orcid identifier0000-0002-1922-7024
- Associate Professor, Biomedical EngineeringSchool of Engineering
- +61 3 9214 8119 (Work)
BIO
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.
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.
SUPERVISION AVAILABILITY
- Available to supervise Doctorate (PhD)
SUSTAINABLE DEVELOPMENT GOALS
- 3 Good Health and Well Being