ECU offers innovative and practical courses across a variety of disciplines and we have a vibrant research culture. ECU is a leader in developing alternative entry pathways to higher education.
We have three campuses in Western Australia. Joondalup and Mount Lawley in the Perth metropolitan area and our South West campus in Bunbury, 200km south of the Perth CBD.
ECU provides a variety of services and facilities that go beyond the classroom, with opportunities for personal development and social interaction for students and staff.
We collaborate with all types of businesses, including new start-ups, small to medium enterprises, not-for-profits, community organisations, government and large corporates in the resources sector.
Children's University Edith Cowan aims to inspire students between seven and fourteen to develop confidence and a love of learning through validated activities beyond the school curriculum.
The Inspiring Minds scholarship program are equity scholarships that give students an opportunity to access an education that may otherwise be out of reach.
Musa, GM., Alnajjar, F., Shimoda, S., Al-Jumaily, A. (2024). Upper Limb Recovery Prediction Based on Multilevel Mixed Effect EMG Synergy and Biomarker Values. Non-Invasive Health Systems based on Advanced Biomedical Signal and Image Processing (1-23). CRC Press. https://doi.org/10.1201/9781003346678-1.
Thomas, JB., Shihabudheen, KV., Sulthan, SM., Al-Jumaily, A. (2023). Deep Feature Meta-Learners Ensemble Models For Covid-19 Ct Scan Classification. Electronics, 12(3), article number 684. https://doi.org/10.3390/electronics12030684.
Alshaweesh, O., Wedyan, M., Alazab, M., Abu-Salih, B., Al-Jumaily, A. (2023). A New Augmented Reality System For Calculating Social Distancing Between Children At School. Electronics, 12(2), article number 358. https://doi.org/10.3390/electronics12020358.
Conference Publications
Al-Jumaily, A., Khushaba, R. (2023). Deep Hand Gesture Recognition: A Wavelet Scattering Alternative to Convolutional Networks. IEEE Workshop on Statistical Signal Processing Workshop (438-442). IEEE Computer Society. https://doi.org/10.1109/SSP53291.2023.10208011.
Yepes, J., Rúa, S., Osorio, M., Pérez, V., Moreno, J., Al-Jumaily, A., Betancur, M. (2022). Human-Robot Interaction Torque Estimation Methods for a Lower Limb Rehabilitation Robotic System with Uncertainties. Applied Sciences, 12(11), Article number 5529. https://doi.org/10.3390/app12115529.
Al Taee, A., Hosseini, S., Khushaba, R., Zia, T., Lin, C., Al-Jumaily, A. (2022). Deep Learning Inspired Feature Engineering for Classifying Tremor Severity. IEEE Access, 10(2022), 105377-105386. https://doi.org/10.1109/ACCESS.2022.3210344.
Jaddoa, M., Gonzalez, L., Cuthbertson, H., Al-Jumaily, A. (2021). Multiview Eye Localisation to Measure Cattle Body Temperature Based on Automated Thermal Image Processing and Computer Vision. Infrared Physics and Technology, 119(December 2021), article number 103932. https://doi.org/10.1016/j.infrared.2021.103932.
Ganesan, B., Al-Jumaily, A., Fong, K., Prasad, P., Meena, S., Tong, R. (2021). Impact of Coronavirus Disease 2019 (COVID-19) Outbreak Quarantine, Isolation, and Lockdown Policies on Mental Health and Suicide. Frontiers in Psychiatry, 12(16 April 2021), Article number 565190. https://doi.org/10.3389/fpsyt.2021.565190.
Khushaba, R., Scheme, E., Al-Timemy, A., Phinyomark, A., Al-Taee, A., Al-Jumaily, A. (2021). A long short-term recurrent spatial-temporal fusion for myoelectric pattern recognition. Expert Systems with Applications, 178(15 September 2021), Article number 114977. https://doi.org/10.1016/j.eswa.2021.114977.
Tran, VP., Al-Jumaily, A., Islam, S. (2019). Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review. Big Data and Cognitive Computing, 3(1), article no. 3. https://doi.org/10.3390/bdcc3010003.
Conference Publications
Islam, S., Mahmood, H., Al-Jumaily, A., Claxton, S. (2019). Deep Learning of Facial Depth Maps for Obstructive Sleep Apnea Prediction. Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018 (154-157). IEEE. https://doi.org/10.1109/iCMLDE.2018.00036.
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