Dinh Phung

University of Canberra, Curtin University, Australian Regenerative Medicine Institute

Papers

Total Citations

H-Index

About

Dinh Phung is a leading researcher whose work spans biometric security, indoor localization, affective computing, and immersive visual media. His most-cited paper, "Multi-factor EEG-based user authentication" (2014, 47 citations), pioneered the use of electroencephalography (EEG) signals as a biometric modality, demonstrating that brainwave patterns can serve as a secure, multi-factor authentication method—a foundational contribution to brain-computer interface security. In indoor localization, his 2008 framework for predicting location using multiple wireless received signal strengths (12 citations) provided an early, practical architecture for context-aware systems in public and office spaces. More recently, Phung has advanced affective computing with "Improved speech emotion recognition based on music-related audio features" (2022, 5 citations), showing how musical feature extraction can enhance emotion detection from speech—critical for applications from virtual assistants to autism therapy robots. His latest work, "PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting" (2025, 3 citations), tackles the cutting-edge challenge of high-resolution, real-time panorama view synthesis for VR and autonomous driving. Across these diverse domains, Phung’s research consistently bridges theoretical innovation with practical, real-world impact, earning him recognition as a versatile and forward-thinking contributor to human-centered computing.