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News | April 6, 2018

2018 Vannevar Bush Faculty Fellows Announced!

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.




Project Title

Cohen, Adam


Harvard University

Synthetic Bioelectrical Materials for Sensing,

Pattern Formation, and Computation


Freedman, David


The University of



Generalized Computations for Cognition in

Artificial and Biological Neural Networks


Graham, Michael


University of



Disentangling and controlling turbulent structure

with nonlinear dynamics and machine learning


Greiner, Markus


Harvard University

Quantum-gas microscope model systems – a

special purpose quantum computer


Guha, Supratik


University of Chicago

Atomic imprint crystallization and scanning nearfield

deposition for creating large area single

crystal surfaces on amorphous substrates


Guibas, Leonidas

Stanford University

Data Geometry, Semantics, and Information


Hallgren, Sean


Pennsylvania State



Exponential Speedups and Limitations of

Quantum Computation


Kalidindi, Surya


Georgia Institute of



Fusion of inherently incomplete and uncertain

multiscale multiphysics materials knowledge in

pursuit of novel engineered materials


Kim, Philip


Harvard University

Quantum Engineered van der Waals

Heterostructures for Topological Electronic

Structures toward Novel Device Applications


Kotov, Nicholas


University of Michigan

Hierarchical Materials Engineering with Chiral



Swager, Timothy


Massachusetts Institute

of Technology


Complex Smart Colloids