Bruce Hasegawa Memorial Lecture
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This annual lecture honors the legacy of Dr. Bruce Hasegawa: his pioneering research accomplishments, his ability to educate and inspire those he taught and mentored, and his generosity towards others.
4476 America/Los_Angeles public Add to CalendarThis annual lecture honors the legacy of Dr. Bruce Hasegawa: his pioneering research accomplishments, his ability to educate and inspire those he taught and mentored, and his generosity towards others.
Speakers

Director, Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)
Director, GSU/GT Center for Advanced Brain Imaging (CABI)
Dr. Vince Calhoun received a bachelor’s degree in electrical engineering (EE) from the University of Kansas, Lawrence, Kansas in 1991, master’s degrees in biomedical engineering and information systems from Johns Hopkins University, Baltimore in 1993 and 1996, and the Ph.D. degree in EE from the University of Maryland Baltimore County, Baltimore in 2002. He worked as a research engineer in the psychiatric neuroimaging laboratory at Johns Hopkins from 1993 until 2002. He then served as the director of medical image analysis at the Olin Neuropsychiatry Research Center and as an associate professor at Yale University. Most recently, he was a Distinguished Professor at the University of New Mexico and the President of the Mind Research Network. Dr. Calhoun is the founding director of the tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS; http://www.trendscenter.org), a joint effort between Georgia State, Georgia Tech, and Emory University, which is focused on improving our understanding of the human brain using advanced analytic approaches with an emphasis on translational research such as the development of predictive biomarkers for mental and neurological disorders. The use of big data approaches and neuroinformatics tools to capture, manage, analyze, and share data is also a major emphasis.
Dr. Calhoun develops techniques for making sense of brain imaging data. The use of flexible/data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However, such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. Because each imaging modality has limitations, the integration of these data is needed to understand the healthy and especially the disordered human brain. He has created algorithms which map dynamic networks of brain function, structure, and genomics and how these are impacted while being stimulated by various tasks or in individuals with mental illness such as schizophrenia. He has released multiple software tools as well as advanced neuroinformatics tools for data management and sharing.
Dr. Calhoun is the first Georgia Research Alliance (GRA) Eminent Scholar to receive a triple appointment, with positions at Georgia State, Georgia Tech and Emory.