PhD
Tony Yousefnezhad is a Postdoctoral Fellow working with the Department of Computing Science and the Department of Psychiatry at the University of Alberta. He completed his Ph.D. in the Department of Computer Science and Technology at Nanjing University of Aeronautics and Astronautics, China with a full scholarship from the China Scholarship Council in 2018. His primary research interests lie in developing machine/deep learning for solving real-world big and complex problems. Specifically, he is working at the intersection of machine learning and computational neuroscience, where he is translating various machine-learning techniques/concepts for medical professions in Canada, China, Australia, and the U.S. He has published several theoretical machine learning papers in prestigious venues such as NeurIPS, AAAI, SIAM SDM, ICDM, and IEEE TCBY, in which novel machine learning algorithms are developed to address real-world problems. In addition, he collaborated on various applied machine learning studies to analyze (medical) images, texts, and audio that are published in journals such as Nature Scientific Report, Neuroinformatics, Journal of Affective Disorders, Frontiers in Psychiatry, etc. He has also founded an open-source project called easy fMRI, which allows medical doctors to apply different machine learning approaches in the form of a user-friendly GUI-based toolbox to analyze neuroimage data to diagnose anxiety, PTSD, Alzheimer's disease, etc.
PRESENTATION: Artificial Intelligence, Machine Learning, and Pharmacy