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Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.

Program

NATIONAL ACADEMY OF ENGINEERING

2017 US Frontiers of Engineering
September 25-27, 2017

Chair: Robert Braun, University of Colorado Boulder

MACHINES THAT TEACH THEMSELVES

Organizer:
Rajan Bhattacharyya, HRL Laboratories

Reinforcement Learning and Learning to Promote Learning
Emma Brunskill, Stanford University

Can Machines Spot Diseases Faster Than Expert Humans?
Suchi Saria, Johns Hopkins University

Humans and Computers Working Together to Measure Machine Learning Interpretability
Jordan Boyd-Graber, University of Maryland

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Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.

ENERGY STRATEGIES TO POWER OUR FUTURE

Organizers:
Katherine Dykes, National Renewable Energy Laboratory, and Jeremy Munday, University of Maryland

Agile Fractal Systems: Re-Envisioning Power System Architecture
Tim Heidel, National Rural Electric Cooperative Association

Big Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet
Bouchra Bouqata, GE Global Research Center

Across Dimensions and Scales: How Imaging and Machine Learning Will Help Design Tomorrow’s Energy Conversion Devices
Mariana Bertoni, Arizona State University

Wireless Charging of Electric Vehicles
Khurram Afridi, University of Colorado Boulder

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UNRAVELING THE COMPLEXITY OF THE BRAIN

Organizers:
Xue Han, Boston University, and Maryam Shanechi, University of Southern California

Technologies to Interface with the Brain for Recording and Modulation
Ellis Meng, University of Southern California

Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation
Jose Carmena, University of California, Berkeley

The Roles of Machine Learning in Biomedical Science
Konrad Kording, University of Pennsylvania

Efficient Feature Extraction and Classification Methods in Neural Interfaces
Azita Emami, California Institute of Technology

***

Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.

MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK

Organizers:
Maria Paz Gutierrez, University of California, Berkeley, and Marija Trcka, United Technologies Corp.

The Evolution of Elevators: Physical Human Interface, Digital Interaction, and Megatall Buildings
Stephen Nichols, Otis

Supertall Timber: Functional Natural Materials for High-Rise Structures
Michael Ramage, University of Cambridge

Applications of Insights from Biology and Mathematics to the Design of Material Structures
Jenny Sabin, Cornell University

Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.

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Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.
Page 125
Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.
Page 126
Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.
Page 127
Suggested Citation: "Program." National Academy of Engineering. 2018. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. Washington, DC: The National Academies Press. doi: 10.17226/24906.
Page 128
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