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.

Name	Institution	Project Title
Cohen, Adam	Harvard University	Synthetic Bioelectrical Materials for Sensing, Pattern Formation, and Computation
Freedman, David	The University of Chicago	Generalized Computations for Cognition in Artificial and Biological Neural Networks
Graham, Michael	University of Wisconsin-Madison	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 University	Exponential Speedups and Limitations of Quantum Computation
Kalidindi, Surya	Georgia Institute of Technology	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 Ceramics
Swager, Timothy	Massachusetts Institute of Technology	Complex Smart Colloids