Udantha Abeyratne

Assoc./Prof. Udantha Abeyratne is the inventor of the cough-sound based respiratory diagnosis technology (ResApp Health Ltd. (ASX: RAP)) and snore sound based sleep apnea diagnosis technology SnoreSounds. He earned a PhD (Biomedical Engineering) from Drexel University, USA, and MEng and BScEE degrees in Electrical & Electronic Engineering from Tokushima U, Japan and U Peradeniya, Sri Lanka respectively. He also received formal post-graduate training in Higher Education (Grad Cert, U of Queensland, Australia) and Paediatric Sleep Science (Grad Cert., U of Western Australia, Australia). He is a Senior Member of the Institute of Electrical & Electronic Engineers (IEEE, USA), and a full Member of the American Academy of Sleep Medicine (AASM). Dr. Abeyratne started his research career with a paper on coding techniques for low-bandwidth communication channels. His master's thesis was on a machine learning approach to the human brain activity analysis using electroencephalography (EEG, Brain Waves) and evoked potentials. This approach won the best paper award in ISBET Brain Topography Conference (Osaka, Japan, 1990) and also placed Dr. Abeyratne as a finalist at the Young Investigators' Competition in IFMBE World Congress on Medical Physics and Biomedical Engineering, 1991 (Kyoto, Japan). He completed his PhD (1996) with Prof. Athina Petropulu as the advisor, working on Higher-Order-Spectra and medical ultrasound imaging. The thesis developed slice-based low-complexity algorithms for blind signal identification, tumor detection in ultarsound images, and image deconvolution. Teaching Activities: Assoc/Prof. Abeyratne has designed and taught university level courses on digital signal processing, electronic circuits, medical and general instrumentation, medical signal processing, medical imaging, control systems, project management and electromagnetic waves. He has supervised both undergraduate and postgraduate dissertation thesis projects in these areas. Within the last decade five students supervised by him won competitive awards at the UQ Innovation Expo. Current Research Profile: Assoc./Prof. Abeyratne's research interests encompass digital signal processing, machine learning, medical instrumentation, medical imaging, electrophysiology, bio-signal analysis and electronics. Over the last two decades A/Prof. Abeyratne has conceptualized, initiated and led the development of a number of innovative technologies funded by prestigious granting agencies such as the Bill & Melinda Gates Foundation, Australian Research Council and the A*-Star Singapore. His research programmes are characteristic of unorthodox approaches resulting in pioneering outcomes that produced spin-off companies, patents and scholarly publications. His research has recieved multiple peer accolades at the international level. Biomedical engineering, Biomedical instrumentation, Electrical engineering, Engineering, Information and Computing Sciences, Medical devices

[2024] Interhemispheric asynchrony of NREM EEG at the beginning and end of sleep describes evening vigilance performance in patients undergoing diagnostic polysomnography. McCloy, Karen, Duce, Brett, Dissanayaka, Nadeeka, Hukins, Craig and Abeyratne, Udantha (2024). Physiological Measurement, 45 (11) 115002, 1-17. doi: 10.1088/1361-6579/ad8f8f