Vince Calhoun

American engineer and neuroscientist (Born 1967) From Wikipedia, the free encyclopedia

Vince Daniel Calhoun is an American engineer and neuroscientist. He directs the Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), a partnership between Georgia State University, Georgia Institute of Technology, and Emory University, and holds faculty appointments at all three institutions. He was formerly the President of the Mind Research Network and a Distinguished Professor of Electrical and Computer Engineering at the University of New Mexico.

Born (1967-10-01) 1 October 1967 (age 58)
Quick facts Born, Alma mater ...
Vince D. Calhoun
Born (1967-10-01) 1 October 1967 (age 58)
Alma materUniversity of Maryland, Baltimore County
Scientific career
FieldsElectrical engineering
InstitutionsTri-institutional Center
Georgia Institute of Technology
University of New Mexico
Doctoral advisorTülay Adalı
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Education

  1. B.S. in electrical engineering, University of Kansas, Lawrence, KS (1991)
  2. M.A. in biomedical engineering, Johns Hopkins University, Baltimore, MD (1993)
  3. M.S. in information systems, Johns Hopkins University, Baltimore, MD (1996)
  4. Ph.D. in electrical engineering, University of Maryland, Baltimore County, Baltimore, MD (2002).[1]

Career

Calhoun is an expert on brain imaging acquisition and analysis and has created numerous algorithms for making sense of complex brain imaging data. He is the creator of the group independent component analysis algorithm,[2] which has become widely used for extracting 'networks' of coherent activity from functional magnetic resonance imaging (fMRI) data. He was also an early innovator in approaches to characterizing the dynamics of brain connectivity.[3] He has also developed techniques to link many different types of data, called 'data fusion' including various types of brain imaging (structural, functional, connectivity) with genomic and epigenomic data.[4] A key focus of Calhoun's work is the development of tool to identify brain imaging markers to help identify and potentially treat various brain disorders including schizophrenia, bipolar disorder, autism, Alzheimer's disease, and many more.[5]

Awards

References

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