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Bei Xiao
The Department of Psychology in the College of Arts and Sciences at American University invites applications for a full-time, tenure-track position at the rank of Assistant or Associate Professor beginning August 1, 2024. Rank will be dependent on experience and stature in the field. Depending on qualifications, the appointee to this position may be recommended for tenure at the time of hiring. In addition to scholarship and teaching, responsibilities will include participation in department, school and university activities. We welcome applications from candidates engaged in high-quality research in Cognitive or Social Psychology. The University has areas of strategic focus for research in Data Science and Analytics, Health, Security, Social Equity, and Sustainability. Priority will be given to outstanding researchers who can contribute meaningfully to one or more of these areas.
How AI is advancing Clinical Neuropsychology and Cognitive Neuroscience
This talk aims to highlight the immense potential of Artificial Intelligence (AI) in advancing the field of psychology and cognitive neuroscience. Through the integration of machine learning algorithms, big data analytics, and neuroimaging techniques, AI has the potential to revolutionize the way we study human cognition and brain characteristics. In this talk, I will highlight our latest scientific advancements in utilizing AI to gain deeper insights into variations in cognitive performance across the lifespan and along the continuum from healthy to pathological functioning. The presentation will showcase cutting-edge examples of AI-driven applications, such as deep learning for automated scoring of neuropsychological tests, natural language processing to characeterize semantic coherence of patients with psychosis, and other application to diagnose and treat psychiatric and neurological disorders. Furthermore, the talk will address the challenges and ethical considerations associated with using AI in psychological research, such as data privacy, bias, and interpretability. Finally, the talk will discuss future directions and opportunities for further advancements in this dynamic field.
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