Dr David Hason Rudd is currently a seasonal lecturer at the School of Computer Science in the Faculty of Engineering and Information Technology (FEIT), UTS Business School, and Faculty of Arts and Social Sciences (FASS) at the University of Technology Sydney (UTS) and full-time lecturer at Australian Institute of Higher Education (AIH), He obtained his Master of Science (Research) in Computing Science (C03025) and PhD in Analytics (C02029) from UTS. His research portfolio is broad and impactful, encompassing areas such as causal machine learning, Industry 4.0 technologies, 5G networks and smart sensing. A significant focus of his work is on the innovative application of signal processing and deep learning to recognise emotional and mental states from speech data, providing insights into human behaviour and interaction. Moreover, his research focuses on advancing financial analytics and has developed a method called “Financial X-Ray”. This innovative approach combines semi-supervised and deep learning techniques to predict customer financial literacy.
Additionally, his expertise extends to conducting causal analysis of customer churn, which aids financial institutions in understanding the cause of attrition.
He actively collaborates with the Data Science & Machine Intelligence Lab (DSMI.tech) on industrial research projects. His work includes a study on customer churn for the Australian Dental Association, identifying key factors in member retention. He also developed drone-assisted AI-IoT techniques to enhance 5G indoor coverage predictions in 3D models. His dedication to the advancement of data science is reflected in his prolific contributions to esteemed journals and major conferences, making him a prominent figure in his field. He has published several papers in prestigious venues, including IEEE-sponsored conferences such as PAKDD, DSInS, AJCAI, BESC, etc.