Affiliation: School of Integrated Circuits, Shandong University

Dr. Guoyang Liu received his PhD from Shandong University in 2022 and later worked as a postdoctoral fellow at the University of Hong Kong from 2022 to 2023. He is currently an assistant professor and master's supervisor at the School of Integrated Circuits, Shandong University. His research primarily focuses on developing deep learning methods and explainable artificial intelligence (XAI) techniques for EEG signal analysis, seizure detection, brain-computer interfaces (BCIs), and cognitive neuroscience applications.

Dr. Liu has significantly contributed to advancing EEG-based deep learning models, particularly in EEG-based seizure detection, facial EEG decoding, and motor imagery BCIs. His work emphasizes interpretability in AI models, integrating human attention mechanisms and advanced signal processing approaches, including cosine convolution networks and transformer architectures. He has also extensively explored efficient model implementations via FPGA-based hardware acceleration to facilitate real-time biomedical signal processing.