Alireza Nia is a Ph.D. student at the Empathic Computing Laboratory, at the University of Auckland, New Zealand, under the supervision of Prof. Mark Billinghurst. He got his bachelor’s degree in Electrical and Electronic Engineering and his master’s degree in Biomedical Engineering-Bioelectric at Tabriz University.
During his bachelor’s degree, he has worked on heart arrhythmia detection and prediction using different machine learning techniques. Also, during his master’s, by exploring different brain imaging modalities, he focused on magnetic resonance imaging (MRI) and specifically using brain MR images to detect and extract healthy and unhealthy tissue by employing machine learning models. In another project, he employed deep learning methods to synthesize T1-weighted brain MR images from T1, T2, and Flair modalities for the patients with the contrast enhancement agent sensitivity. Currently, he is working on the brain-computer interface field and his research revolves around human emotion recognition using Electroencephalography (EEG) and functional Near-Infrared spectroscopy (fNIRS).