Dr. Haozhe Zac Wang

Email: haozhezac.wang@uq.edu.au 

Current Research

Driven by a deep interest in human cognition, my research investigates how neurofeedback modulates attention during decision-making. I employ a combination of psychophysics and electroencephalography (EEG) to capture neural activity, applying machine learning algorithms to decode cognitive processes. By bridging the gap between neural processing and behavioral outcomes, my work aims to deepen our understanding of the human cognition process and advance the development of Brain-Machine Interfaces.

Research Interests

• Cognitive neuroscience

• Brain Machine Interface

• Attention

Publications

Wang, H. Z., & Wong, Y. T. (2023). A novel simulation paradigm utilizing MRI-derived phosphene maps for cortical prosthetic vision. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/aceca2 

Wang, H. Z., & Wong, Y. T. (2025). Raster scanning can improve task performance in simulated prosthetic vision. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2025.3617891 

Conference presentations

H. Z. Wang and Y. T. Wong. (2023). Utilization of brain scans to create realistic phosphene maps for cortical visual prosthesis simulation studies. Oral presentation at 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023, pp. 1-4, doi: 10.1109/EMBC40787.2023.10341189.

H. Z. Wang and Y. T. Wong. (2024). Improvement of dynamic phosphene presentation for a cortical visual prosthesis is task-specific. Poster presentation at 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Orlando, USA, 2024, pp. 1-4, doi: 10.1109/EMBC53108.2024.10782366

H. Z. Wang and Y. T. Wong. (2022). Shifting Images Adaptively Facilitate Visual Performance on MRI-Derived Phosphene Maps for Cortical Prosthetic Vision.  Poster presentation at Australasian Neuroscience Society Conference (ANS), Melbourne, Australia.