Simon Denman

Dr. Simon Denman is an Associate Professor in the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He co-leads the Applied Data Science research programme at the QUT Centre for Data Science. His research focuses on computer vision, machine learning, and signal processing, with applications in security, healthcare, and sports analytics.

Education:
PhD, Bachelor of Information Technology, and Bachelor of Engineering (Electronics) from Queensland University of Technology.

Research Expertise:
Dr. Denman's work spans action recognition, trajectory prediction, biometrics, and medical signal processing. His lab develops solutions for video surveillance, sports analytics, and healthcare diagnostics using deep learning architectures like neural memory networks and 3D perspective networks.

Publication Trends:
His recent articles (2023-2025) demonstrate a focus on radar signal processing, cross-domain adaptation, and geometric deep learning. Key applications include renewable energy assessment, emotion recognition, and real-time pose estimation in complex environments.

Grants:

• DP200101942: Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks (2021-2025)