USFOE

2017 US Frontiers of Engineering Symposium

The 2017 US Frontiers of Engineering will be hosted by United Technologies Research Center in East Hartford, Connecticut, September 25-27. About 100 outstanding engineers under the age of 45 will meet for an intensive 2-1/2 day symposium to discuss cutting-edge developments in four areas: Mega-Tall Buildings and Other Future Places of Work, Unraveling the Complexity of the Brain, Energy Strategies to Power Our Future, and Machines That Teach Themselves. The goal of the Frontiers of Engineering program is to bring together engineers from all engineering disciplines and from industry, universities, and federal labs to facilitate cross-disciplinary exchange and promote the transfer of new techniques and approaches across fields in order to sustain and build US innovative capacity. 

LIST OF SESSIONS
(Working titles listed. Order of sessions and speakers TBD.)

Chair:  Robert Braun, University of Colorado Boulder

MEGA-TALL BUILDINGS AND OTHER FUTURE PLACES OF WORK
Session co-chairs: Maria Paz Gutierrez, University of California, Berkeley, and Marija Trcka, United Technologies Research Corp.

Fundamental Design Transformations in the Making of Mega-Tall Buildings
Juan Betancur, AS+GG

The Role of Digital Interaction, Physical Human Interface, and Intuitive Behavior in Transforming Vertical Transportation
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

ENERGY STRATEGIES TO POWER OUR FUTURE
Session co-chairs:  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 O&M: 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

UNRAVELING THE COMPLEXITY OF THE BRAIN
Session co-chairs:  Xue Han, Boston University, and Maryam Shanechi, University of Southern California

Understanding the Neural Basis of Skill Learning Using Brain-Machine Interfaces
Jose Carmena, University of California, Berkeley

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

Efficient Feature Extractionand Classification Methods for Neural Interfaces
Azita Emami, California Institute of Technology

New Models for Neuroscience
Konrad Körding, University of Pennsylvania 

MACHINES THAT TEACH THEMSELVES
Session co-chairs:  Rajan Bhattacharyya, HRL Laboratories, and Fei Fei Li, Stanford University

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

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

Human-Centered Machine Learning: Opening Up the Black Box
Jordan Boyd-Graber, University of Maryland

September 25, 2017 – September 27, 2017
East Hartford, Connecticut