Dr Mohammad Zavid Parvez is an academic and researcher specialising in AI, cybersecurity, machine learning, and biomedical signal and image analysis. He earned his PhD in Computer Science from Charles Sturt University in 2016, focusing on epileptic seizure detection and prediction using advanced EEG signal analysis. He also holds an MSc in Electrical Engineering (Signal Processing) from Blekinge Institute of Technology, Sweden.

Dr Parvez has taught across several higher education institutions, including Asia Pacific International College, Torrens University, RMIT University, and Australian Catholic University, and previously served as an Assistant Professor at BRAC University in Dhaka. His teaching areas include AI, cybersecurity, data science, software engineering, and research methodology.

He has held research positions at Charles Sturt University and the Institute for Scientific Interchange as part of an EU Horizon 2020 project. His research interests include federated learning, privacy-preserving AI, incremental learning with concept drift, medical imaging analytics, and cyber threat intelligence. He has published in leading journals including IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Neurocomputing, and Computers & Security.

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