651-283-9903

Applications:
Bioinformatics, Computational Linguistics, Computer Vision, Medical Imaging, Precision Health, Psychology
Methodologies:
Algorithms, Artificial Intelligence, Deep Learning, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Signal Processing, Spatio-Temporal Data Analysis, Statistical Inference

Zhongming Liu

Associate Professor

Biomedical Engineering


Affiliation(s):

Electrical and Computer Engineering

My research is at the intersection of neuroscience and artificial intelligence. My group uses neuroscience or brain-inspired principles to design models and algorithms for computer vision and language processing. In turn, we uses neural network models to test hypotheses in neuroscience and explain or predict human perception and behaviors. My group also develops and uses machine learning algorithms to improve the acquisition and analysis of medical images, including functional magnetic resonance imaging of the brain and magnetic resonance imaging of the gut.

We use brain-inspired neural networks models to predict and decode brain activity in humans processing information from naturalistic audiovisual stimuli.