Jian Peng

2019

Kaiyu Guan, Jian Peng, Chongya Jiang, Bin Peng, Sibo Wang (2019): Building an Objective Seasonal Forecasting System for U.S. Corn and Soybean Yields, 2019 Blue Waters Annual Report, pp90-91
Kaiyu Guan, Jian Peng, Chongya Jiang, Bin Peng, Sibo Wang (2019): Monitoring Field-Scale Crop Water Use using a Satellite Data-Driven Mechanistic Modeling Approach, 2019 Blue Waters Annual Report, pp88-89

2018

Kaiyu Guan, Jian Peng, Bin Peng, Yunan Luo, Sibo Wang (2018): Forecasting Global Crop Productivity through Integrating Novel Satellite Data and Process-Based Models, 2018 Blue Waters Annual Report, pp82-83

New satellite-based algorithm pinpoints crop water use


Mar 20, 2020

A new high-resolution mapping framework called BESS-STAIR is composed of a satellite-driven biophysical model integrating plants' water, carbon and energy cycles—the Breathing Earth System Simulator (BESS)—with a generic and fully automated fusion algorithm called STAIR (SaTellite dAta IntegRation).


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Advanced Protein Prediction Using Deep Learning on Blue Waters Supercomputer


Dec 21, 2017

Researchers at NCSA used the Blue Waters Supercomputer and Deep Learning to achieve a breakthrough in protein structure predictions. As published in the Cell Systems journal, the research was conducted by Jian Peng, NCSA Faculty Fellow and Assistant Professor in the Department of Computer Science at Illinois and Yang Liu, a graduate student in the Department of Electrical and Computer Engineering.


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Blue Waters Illinois allocations awarded to 26 research teams


Mar 7, 2017

Twenty-six research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Application's (NCSA) sustained-petascale Blue Waters supercomputer after applying in Fall 2016. These allocations range from 25,000 to 600,000 node-hours of compute time over a time span of either six months or one year. The research pursuits of these teams are incredibly diverse, ranging anywhere from physics to political science.


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NASA Career Award Winner Uses Blue Waters Supercomputer to Mine Crop Yield Data


Sep 22, 2016

A new faculty member at the University of Illinois who received a prestigious NASA Career award is now using the Blue Waters supercomputer on campus to gain new insights into crop yields through satellite data. Assistant professor Kaiyu Guan’s work builds off his previous research with satellite and earth system modeling. Prior to coming to Illinois, his PhD and postdoc work focused mostly on how rainfall and other components of the hydrological cycle control plant growth in tropical forests, savannas and farms.


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