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People
Affiliated Faculty
Craig
Henriquez, Ph.D.
Associate Professor of Biomedical Engineering (co-director)
Dr. Henriquez's
expertise is in the area of large-scale computer modeling of bioelectric
phenomena at the cell and network level.
Miguel
Nicolelis, M.D., Ph.D.
Associate Professor of Neurobiology and Biomedical Engineering(co-director)
Dr. Nicolelis's research focuses on the study of the dynamic interactions
between populations of cortical and subcortical neurons that mediate
tactile perception. He is an expert in the use of new electrophysiological
techniques for simultaneously recording the activity of 1000's of neurons
in behaving animals.
Patrick
Wolf, Ph.D. Associate Professor of Biomedical Engineering
Dr. Wolf's expertise is in the area of bioinstrumentation. He is currently
developing a brain-machine interface that consists of a neurochip that
processes spike train data from neurons in behaving animals and telemeters
reduced data to a remote data acquisition system.
Edward
Hsu, Ph.D., Assistant Professor of Biomedical Engineering
Dr. Hsu's research centers on the use of diffusion weighted MRI to characterize
tissue structure and regions of brain ischemia.
Sidney
A Simon, Ph.D. Professor of Neurobiology and Biomedical Engineering
Dr. Simon's laboratory studies the interaction of chemical stimuli with
cultured and intact trigeminal ganglion neurons and taste receptor cells
in culture, in anesthetized and in awake behaving animals.
James
MacFall, Ph.D. Associate Professor of Radiology and Biomedical Engineering
Dr. MacFall is the Co director of the Center for Advanced Magnetic Resonance
Development (CAMRD). He is collaborating with Brain Imaging and Analysis
Center to investigate the use of fMRI and diffusion tensor MRI to characterize
the areas of the brain involved in severe depression.
Allen
Song, Ph.D., Assistant Professor of Radiology and Biomedical Engineering
Dr. Song is faculty member in the Brain Imaging and Analysis Center
and member of the Center for Cognitive Neuroscience. His research centers
on refining data acquisition methods for fMRI, especially to improve
the contrast-to-noise ratio of the fMRI signal and to recover fMRI signal
loss due to susceptibility artifact.
Martin
McKeown, B.Eng, M.D., FRCP, Assistant Professor, Dept of Medicine
(Neurology) and Biomedical Engineering
Dr. McKeown is a clinical researcher in Neurology with a background
in engineering and an affiliate faculty member in the Center for Cognitive
Neuroscience. His research interest are in monitoring the cognitive
and motor aspects of brain recovery after brain injury (such as stroke)
useing analytical techniques, (such as Independent Components Analysis
(ICA)).
Jeffery
Krolik, Ph.D., Associate Professor of Electrical and Computer Engineering
Dr. Krolik's expertise is in the area of source detection and advanced
signal processing. The algorithms developed by Dr. Krolik are being
applied to fMRI and EEG analysis.
Devenedra
Garg, Professor of Mechanical Engineering
Dr. Garg's expertise is in the areas of modeling, simulation, and control
of dynamic systems and robotics. In particular, his research deals with
characterization and control of nonlinear phenomena in physical systems
such as robots, automated manufacturing, and high-speed ground transportation.
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Henry
Greenside, Ph.D., Associate Professor of Physics and Computer Science
Dr. Greenside's research centers on the analysis and simulation of complex
dynamical systems.
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