Rate My Professor Walayat Hussain

Dr. Hussain's research focuses on Artificial Intelligence and decision-making algorithms, Internet of Things applications, web information systems, communication networks, software engineering in distributed environments, smart systems, big data and cloud computing, and ICT for sustainable decision-making. He has published over 90 high-quality research papers in top-ranked ERA A*, A, and JCR/SJR Q1 journals, including 'Tsmae: a novel anomaly detection approach for internet of things time series data using memory-augmented autoencoder' (IEEE Transactions on Network Science and Engineering, 2022), 'Trends in Using IoT with Machine Learning in Health Prediction System' (Forecasting, 2021), 'A PLS-SEM neural network approach for understanding cryptocurrency adoption' (IEEE Access, 2020), and 'SSUR: An Approach to Optimizing Virtual Machine Allocation Strategy Based on User Requirements for Cloud Data Center' (IEEE Transactions on Green Communications and Networking, 2021). He has secured over $300,000 in research grants, supervised thirteen higher degree research students, and developed algorithms combining Ordered Weighted Averaging with Artificial Intelligence for optimal decisions in complex systems. His achievements include the National Research Award by the Government of Oman (2021), VUBS Award for Excellence in Research (2022), Best Paper Award at IoTaaS Australia (2021), Best Paper Awards at 3PGCIC (2015, 2016), and FEIT HDR Publication Award from UTS (2016). A Fellow of the European Alliance for Innovation and member of IEEE and the Australian Computer Society, he serves as Associate Editor for IET Communications, International Journal of Web Information Systems, and Forecasting, and has guest-edited over 35 journals. He has chaired conferences such as the 7th EAI International Conference on IoT as a Service (2021).