The Department of Defense announced the selection of 11 distinguished faculty scientists and engineers to join the 2018 Class of Vannevar Bush Faculty Fellows (VBFF). They join a cadre of 45 current Vannevar Bush Faculty Fellows, who are sponsored by the DoD to conduct foundational research in core science and engineering disciplines that underpin future DoD capabilities.
Fellows are currently conducting basic research in the areas of quantum information science, neuroscience, nanoscience, novel engineered materials, applied mathematics and statistics that could revolutionize a wide variety of DoD capabilities such as artificial intelligence, position-navigation-timing in denied environments, autonomous system design, decision support tools, and sensor development.
The VBFF commemorates Dr. Vannevar Bush, director of the Office of Scientific Research and Development during WWII. Following the example set by Dr. Bush, DoD invests in basic research to probe the 'limits of today's technologies and discover new phenomena and know-how that ultimately leads to future technologies and helps prevent capability surprise. These investments have led to broad and game-changing capabilities such as the global positioning satellite (GPS) system, magnetic random access memory (MRAM), and stealth technology, to name a few.
DoD congratulates each of these remarkable scientists and engineers on their selection as Vannevar Bush Faculty Fellows (listed below)! More info here.
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Name
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Institution
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Project Title
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Cohen, Adam
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Harvard University
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Synthetic Bioelectrical Materials for Sensing,
Pattern Formation, and Computation
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Freedman, David
|
The University of
Chicago
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Generalized Computations for Cognition in
Artificial and Biological Neural Networks
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Graham, Michael
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University of
Wisconsin-Madison
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Disentangling and controlling turbulent structure
with nonlinear dynamics and machine learning
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Greiner, Markus
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Harvard University
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Quantum-gas microscope model systems – a
special purpose quantum computer
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Guha, Supratik
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University of Chicago
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Atomic imprint crystallization and scanning nearfield
deposition for creating large area single
crystal surfaces on amorphous substrates
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Guibas, Leonidas
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Stanford University
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Data Geometry, Semantics, and Information
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Hallgren, Sean
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Pennsylvania State
University
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Exponential Speedups and Limitations of
Quantum Computation
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Kalidindi, Surya
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Georgia Institute of
Technology
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Fusion of inherently incomplete and uncertain
multiscale multiphysics materials knowledge in
pursuit of novel engineered materials
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Kim, Philip
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Harvard University
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Quantum Engineered van der Waals
Heterostructures for Topological Electronic
Structures toward Novel Device Applications
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Kotov, Nicholas
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University of Michigan
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Hierarchical Materials Engineering with Chiral
Ceramics
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Swager, Timothy
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Massachusetts Institute
of Technology
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Complex Smart Colloids
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