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The 2021 Japan-America Frontiers of Engineering symposium will be held in the United States. 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.
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
BLOCKCHAIN Session co-chairs: Guilia Fanti, Carnegie Mellon University, and Shigeya Suzuki, Keio University
Introduction to Blockchains and Major Technical Challenges Ewa Syta, Trinity College
Topic TBD Akihiro Fujihara, Chiba Institute of Technology
Tackling Scalability Challenges in Emerging Blockchains Sreeram Kannan, University of Washington
Scalability Challenges from a Network Technology Perspective Kazuyuki Shudo, Tokyo Institute of Technology
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
Hyperthermals: Recovering from Rapid Global Warming in the Geological Past Kazutaka Yasukawa, University of Tokyo
Management of CO2 in the Atmosphere and Ocean 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
SOFT ROBOTICS Session co-chairs: Michael Dickey, North Carolina State University, and Kenjiro Tadakuma, Tohoku University
Overview of Soft Robotics Rebecca Kramer, Yale University
Industry Perspective Yigit Menguc, Facebook Reality Lab/Oregon State University
Bioinspired Robots Takuya Umedachi, Shinshu University
Soft Chemical Matter Shingo Maeda, Shibaura University