Rate My Professor Muhammad Hasan

Dr Muhammad Hasan is a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences within the Faculty of Science and Engineering at Curtin University. His academic work centers on biomedical signal processing, with particular emphasis on techniques for detecting and processing fetal electrocardiogram (FECG) signals for fetal monitoring, electrocardiogram (ECG) analysis, pattern recognition, and artificial intelligence applications in healthcare. Hasan's research contributions address critical challenges in non-invasive fetal monitoring and cardiac signal analysis, including the extraction of fetal ECG from maternal abdominal signals using neural networks and the evaluation of beat-to-beat QT interval variability in relation to T-wave amplitude in healthy subjects.

Hasan has authored several key publications that have garnered significant recognition in the field. Notable works include 'Detection and processing techniques of FECG signal for fetal monitoring' (2009, Biological Procedures Online, 221 citations), which reviews methods for fetal ECG signal processing; 'Relation between Beat-to-Beat QT Interval Variability and T-Wave Amplitude in Healthy Subjects' (2012, Annals of Noninvasive Electrocardiology, 48 citations), exploring cardiac repolarization dynamics; 'Fetal ECG extraction from maternal abdominal ECG using neural network' (2009, Journal of Software Engineering and Applications, 40 citations); 'Beat-to-beat vectorcardiographic analysis of ventricular depolarization and repolarization in myocardial infarction' (2012, PLoS One, 39 citations); and 'UHF RFID antenna architectures and applications' (2010, Scientific Research and Essays, 60 citations). Additional publications cover autonomic modulation of repolarization instability in heart failure patients and hydrological modeling, reflecting interdisciplinary interests. His Google Scholar profile reports over 1,162 citations, underscoring his influence in biomedical engineering and related domains. Hasan collaborates frequently with researchers such as MBI Reaz, MI Ibrahimy, D. Abbott, and M. Baumert, contributing to advancements in signal processing for medical diagnostics.