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PUBLIC RELEASE DATE:
18-Dec-2013

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Contact: Aaron Dubrow
adubrow@nsf.gov
703-292-4489
National Science Foundation
@NSF

NSF supports collaborative cyber-enabled research to advance sustainability

CyberSEES program awards $12.5 million for interdisciplinary research in energy, agriculture and environmental management

IMAGE: Many ecosystems exhibit spatially-spreading processes that stakeholders would like to manage to either promote or prevent. For wildland fire, one seeks to promote the spread of low-intensity ground fires that...

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The National Science Foundation (NSF) recently awarded more than $12.5 million in grants to 17 research groups spanning 15 states, each targeting important societal challenges that can be addressed through computing and communication technologies. The two- to four-year grants will allow researchers to plan, prototype, test and build capacity for new models, technologies and tools to increase sustainability.

Advances in computing and information technology are essential to addressing the global challenge of environmental sustainability. Computational and data-enabled techniques, such as simulation and modeling, sensor technology and machine learning, enable researchers to better understand the complexity of the environment and to deliver solutions to achieve sustainability.

"From tiny, low-power sensors able to monitor and transmit information about the movement and quality of rivers to powerful supercomputers that incorporate petabytes of data to model weather, cyber-enabled technologies have the potential to greatly improve our understanding and management of natural and man-made systems," said Farnam Jahanian, head of the Computer and Information Science and Engineering Directorate at NSF.

NSF's Cyber-Enabled Sustainability Science and Engineering (CyberSEES) program aims to realize this potential by advancing interdisciplinary research in which the science and engineering of sustainability are enhanced by new advances in computing. It supports research collaborations that bring together computer, communications and control experts with researchers in agriculture, power infrastructure and transportation to develop innovative ideas and prototype systems to preserve the planet.

The program complements the broader NSF-wide SEES (Science, Engineering and Education for Sustainability) effort, begun in 2012, that funds projects related to hazard mitigation, ocean stewardship and Arctic management, among other topics. All SEES solicitations share a common vision of creating a research and innovation infrastructure that contributes to a sustainable future globally.

The CyberSEES awards range from $300,000 to $1.2 million and support teams of researchers, in some cases across several universities.

"CyberSEES brings together researchers working in computer science, electrical engineering and mechanical engineering with researchers in the geological sciences, biological sciences and emerging areas of sustainability and power systems," said Phillip Regalia, the NSF program officer who oversees the effort. "The CyberSEES program spans many areas because sustainability touches everything on the planet."

Among the recipients of the first CyberSEES awards are groups developing integrated management systems for data centers, electric grids and transportation infrastructure; teams working to improve crop production using underground wireless sensors connected to irrigation systems; researchers developing new ways to optimize and visualize ecosystem management in order to facilitate decision-making; teams using machine learning to better predict precipitation based on multiple sources of information; and even consumer-oriented projects, such as one that diagnoses faults in HVAC systems.

IMAGE: A University of Nebraska-Lincoln team led by Mehmet Can Vuran is exploring how best to commercialize a new wireless sensor system that will help farmers better manage irrigation water applications...

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"Our new CyberSEES grant will allow continuing progress towards the goal of cyber-enabled sustainable agriculture through inter-disciplinary research involving sensor electronics, antenna design for underground placement, nano-scale technologies for sensing and energy-harvesting, and computing and networking science," said Ratnesh Kumar, professor of Electrical and Computer Engineering at Iowa State.

Working with electrical engineers and agronomists, he is developing an integrated system to better manage the nitrogen cycle in soils to maximize plant production while minimizing pollution through runoff.

"There is a huge benefit to society in this work, which strives to create more sustainable ways to power our lives," said Diana Marculescu, professor of Electrical and Computer Engineering at Carnegie Mellon University. She leads a team of researchers based at CMU, The University of Texas at Austin and Penn State that aims to develop climate-aware hydropower generation able to maximize the energy harvested from rivers, while avoiding disasters like floods.

According to Marculescu, "Small footprint hydroelectric projects could create enough low-carbon energy to power an economy the size of Virginia while minimizing impact to the environment and surrounding communities."

As computing and communications technologies get cheaper, smaller and more capable, scientists are finding innovative ways of incorporating them into all aspects of life. Through the CyberSEES program, NSF hopes to embed these emerging technologies in ways that will have a positive environmental and social impact.

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2013 CyberSEES Awards

Climate-aware renewable hydropower generation and disaster avoidance
Principal Investigators: Diana Marculescu, Carnegie-Mellon University; Seth Blumsack, Penn State; Ben Hodges, The University of Texas at Austin; Paul Bogdan, University of Southern California
Additional Collaborators: Radu Marculescu, CMU

In-situ, wireless, energy-harvesting soil moisture/nutrient sensors for managing agricultural resources & environmental impact
Principal Investigator: Ratnesh Kumar
Additional Collaborators: Fernando Miguez, Michael Castellano, Robert Weber, Liang Dong, Iowa State University

Data integration for urban metabolism
Principal Investigator: Maria Cruz
Additional Collaborators: Ning Ai, Sybil Derrible, Thomas Theis, Samuel Dorevitch, University of Illinois at Chicago

A new framework for crowd-sourced green infrastructure design
Principal Investigators: Lawrence Band, University of North Carolina at Chapel Hill; Barbara Minsker, University of Illinois at Urbana-Champaign
Additional Collaborators: Jack Snoeyink, Mary Whitton, University of North Carolina at Chapel Hill; William Sullivan, Arthur Schmidt, Jong Lee, Kenton McHenry, University of Illinois at Urbana-Champaign

Fault detection, diagnosis and prognosis of HVAC systems
Principal Investigator: Krishna Pattipati, University of Connecticut
Additional Collaborators: Peter Luh, Robert Gao, Bing Wang, George Kuchel, University of Connecticut

IMAGE: Flow and depth modeling during a two-week rainstorm for 15000 km of river in the Guadalupe and San Antonio River basin (Texas). Line width varies with flow rate, line color...

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Towards sustainable aquatic ecosystems: A new adaptive sampling and data-enabled monitoring and modeling framework
Principal Investigator: Xiaobo Tan, Michigan State University
Additional Collaborators: Elena Litchman, Hayder Radha, Mantha Phanikumar, Guoliang Xing, Michigan State University

Imaging polarimetry in urban environments to quantify manmade aerosols
Principal Investigator: Meredith Kupinski, University of Arizona
Additional Collaborators: Russell Chipman, Ara Arabyn, Leslie Tolbert, University of Arizona; David Diner, California Institute of Technology

Coupon incentive-based risk aware demand response in smart grid
Principal Investigator: Pravin Varaiya, University of California-Berkeley; Le Xie, Texas Engineering Experiment Station
Additional Collaborators: Evdokia Nikolova, Texas Engineering Experiment Station

Enabling sustainable civil infrastructure using interactive formal analytics for structural health diagnosis
Principal Investigator: Ehab Al-Shaer, University of North Carolina at Charlotte
Additional Collaborators: Mary Lou Maher, Matthew Whelan, Xiaoyu Wang, University of North Carolina at Charlotte

Precipitation estimation from multi-source information using advanced machine learning
Principal Investigator: Soroosh Sorooshian, University of California-Irvine
Additional Collaborators: Xiaogang Gao, Kuolin Hsu, Alexander Ihler, University of California-Irvine

Hierarchical energy management for sustainable residential and mobility ecosystems
Principal Investigator: Giorgio Rizzoni, Ohio State UniversityAdditional Collaborators: Wei Zhang, Ohio State University

Computing and visualizing optimal policies for ecosystem management
Principal Investigator: Thomas Dietterich, Oregon State UniversityAdditional Collaborators: Claire Montgomery, Ronald Metoyer, Heidi Albers, Mark Crowley, Oregon State University

Modeling for sustainability in a changing environment: Emerging infectious diseases
Principal Investigator: Carrie Manore, Tulane University
Additional Collaborators: J. "Mac" Hyman, Tulane University; Christopher Mores, Louisiana State University

Dynamic robust optimization for emerging energy systems
Principal Investigator:Shabbir Ahmed, Georgia Tech
Additional Collaborators: Carlos Grijalva, Xu Sun, Georgia Tech

Integrated management of data centers, electric grid, and transportation for cyber-enabled sustainability
Principal Investigator: Wei Zhang, Ohio State University
Additional Collaborators: Xiaorui Wang, Ohio State University



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