Research Supervisor Connect

Unobtrusive Sensor Systems for Healthcare

Summary

Research Area:

Wearable sensors, unobtrusive sensing, embedded systems, health monitoring.

Supervisor

Associate Professor Omid Kavehei.

Research location

Biomedical Engineering

Synopsis

This project aims to create unobtrusive sensor systems to monitor physiological and behavioural data of human body. The signals include EEG, ECG, EOG, EMG, respiration, SpO2, temperature, activities, etc.. The candidate will develop innovative wearable sensing or non-contact sensing techniques with new sensing materials and embedded systems for biomedical data acquisition and processing. Lightweight AI algorithms and software for embedded sensor systems will be proposed for intelligent healthcare systems. The potential applications will be sleep monitoring, neonatal monitoring and smart rehabilitation, etc.

Additional information

Successful candidates must have:

  • Bachelor’s or Master’s degree majoring in electrical and electronic engineering, biomedical engineering, microelectronics, telecommunication engineering, mechanical engineering, computer engineering and related disciplines,
  • Good at circuit and system (PCB) design,
  • Good communication skills,
  • Good at teamwork and collaboration.

How to Apply:

To apply, please email omid.kavehei@sydney.edu.au AND wei.chenbme@sydney.edu.au with the subject line “PhD Application”, and attach the following:

  • CV
  • Transcripts

Want to find out more?

Opportunity ID

The opportunity ID for this research opportunity is 3491

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