Since the announcement was released, the 2016 annual "Schlumberger Computing Earth Science Scholarship" has received 5 applications from high-performance institute, Department of Computer Science and 25 applications from Department of Earth System Science. After reviewing the contents of the applicant's research, the integration with computing earth science, the academic achievement, the difficulty of family and other factors, with carefully and deliberately discussed, the following five have been choosen as the winner of 2016 annual "Schlumberger Earth Science Scholarship", the results of the selection are as follows (sorted by surname):
He is one of the key members of Tsinghua University's team sent to National Super-computing Wuxi Center. He developed swDNN and swNet, the basic libraries used for deep learning on Sunway super-computing system. The related work has been published in the HiPC 2016 and IPDPS 2017 and other top international conference in high-performance computing areas.
Her research direction is the application of the deep learning and high performance computing in the field of remote sensing image classification and object recognition. She has got many research results in Earth System Science and computer science and has published two SCI papers as the first author.
She has made outstanding achievements in moral education, scientific research and practice. She published the article "Global climate forcing of aerosols embodied in international trade" online at the "Nature-Geoscience (IF = 12.508)" as a co-author of the first author.
She published an SCI paper as the first author in 2016 and participated in several academic conferences at home and abroad.
He helped the team win the 2016 ACM Gordon Bell Prize and became the first team in China to receive the award.
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