Rate My Professor Campbell Wilson

Associate Professor Campbell Wilson is a prominent researcher and educator in the Faculty of Information Technology at Monash University, holding the position of Associate Professor in the Department of Data Science and Artificial Intelligence. As the founding co-director of the AiLECS Research Centre—a collaborative initiative with the Australian Federal Police—he spearheads efforts to apply artificial intelligence and machine learning to enhance law enforcement and community safety. His research portfolio spans digital forensics, information retrieval, machine learning, and bioinformatics, addressing both technical innovations and socio-technical implications. Wilson also serves as Associate Dean (International) for the Faculty of Information Technology, a role he has held since 2016, alongside previous positions such as Deputy Head of the Caulfield School of Information Technology and Deputy Course Director for the Master of Information Technology.

Wilson earned his Doctor of Philosophy in Computer Science from Monash University in 2003, following a Master of Computing in Computer Technology in 1996, Graduate Diploma in Computing in Computer Technology in 1994, and Bachelor of Science (Honours) in Applied Mathematics in 1993. His extensive teaching experience includes serving as Chief Examiner for units like FIT2100 Operating Systems, FIT1038 Introduction to Information Technology, FIT5141 Advanced Topics in Information Technology, FIT5166 Information Retrieval Systems, and others, as well as lecturing in courses such as FIT2065 Operating Systems and the Unix Environment and FIT9018 Computer Technology and Operating Systems. Key publications include "Developing AI for Law Enforcement in Singapore and Australia" (Communications of the ACM, 2020), "Effective, explainable and ethical: AI for law enforcement and community safety" (2020 IEEE/ITU International Conference on Artificial Intelligence for Good, 2020), "PhosTransfer: a deep transfer learning framework for kinase-specific phosphorylation site prediction in hierarchy" (PAKDD 2020), "Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning" (AMIA Annual Symposium Proceedings, 2020), and "A fast and scalable algorithm for scheduling large numbers of devices under real-time pricing" (CP 2018). Through PhD supervisions and projects with partners like the Australian Federal Police and Monash Medicine, he advances fields such as dark web content classification, AI ethics and explainability in law enforcement, and bioinformatics applications.