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The 2021 Japan-America Frontiers of Engineering symposium will be held virtually June 23-25. Sixty of the most promising early career engineers from Japan and the United States will meet for an intensive 2-1/2 day symposium on developments at the cutting edge of engineering technology in four areas: Blockchain, Mitigating Sea Level Rise, Machine Learning and AI for Mental Health, and Soft Robotics. The event is intended to facilitate international and cross-disciplinary research collaboration, promote the transfer of new techniques and approaches across disparate engineering fields, and encourage the creation of a transpacific network of world-class engineers. JAFOE is carried out in cooperation with the Engineering Academy of Japan.
The National Academy of Engineering would like to express its gratitude to The Grainger Foundation, the National Science Foundation, and Arogyaswami J. Paulraj for their support of the 2021 JAFOE Symposium.
Click here for the preliminary program. More information will be posted as the program is developed.
List of Sessions
(Working titles only. Order of sessions TBD. Not all speakers confirmed.)
Symposium co-chairs: David Tse, Stanford University, and Hidemitsu Furukawa, Yamagata University
Session co-chairs: Guilia Fanti, Carnegie Mellon University, and Shigeya Suzuki, Keio University
Introduction to Blockchains and Major Technical Challenges
Ewa Syta, Trinity College
Akihiro Fujihara, Chiba Institute of Technology
Tackling Scalability Challenges in Emerging Blockchains
Sreeram Kannan, University of Washington
Scalability Challenges from a Network Technology Perspective
MITIGATING SEA LEVEL RISE
Session co-chairs: Daisuke Inazu, Tokyo University, and Firas Saleh, Jupiter Intelligence
Sea Level Rise Variations and Technologies to Characterize SLR Impacts
Scott Kulp, Climate Central
Sea Level Rise Adaptation and Mitigation Pathways
Keren Bolter, Arcadis
Hothouse in the Deep Past: Implications for Ongoing Climate Change
Kazutaka Yasukawa, University of Tokyo
Management of CO2 in the Atmosphere and Ocean, Using Solid Earth
Takeshi Tsuji, Kyushu University
MACHINE LEARNING AND AI FOR MENTAL HEALTH
Session co-chairs: Takamitsu Matsubara, Nara Institute of Science and Technology, and Ada Poon, Stanford University
Automatic Mental Disease Diagnosis from a Natural Language Perspective
Yoshinobu Kano, Shizuoka University
How Clinical Psychoinformatics Approaches Can Detect Individual Mental Health Patterns
Tetsuya Yamamoto, Tokushima University
Machine Learning to Evaluate Memory Decline and Autism
Makoto Kawai, Stanford University
Session co-chairs: Michael Dickey, North Carolina State University, and Kenjiro Tadakuma, Tohoku University
Overview of Soft Robotics
Rebecca Kramer, Yale University
Yigit Menguc, Facebook Reality Lab/Oregon State University
Takuya Umedachi, Shinshu University
Soft Chemical Matter
Shingo Maeda, Shibaura University