The terms denote educational areas that are part of the CPS technology.

Call for Student Posters on Unmanned Aircraft Systems (UAS) Communications and Networking Research

 

Kamesh Namuduri Submitted by Kamesh Namuduri on January 24th, 2017
Event
ISDF 2017
You are invited to participate in The Third International Conference on Information Security and Digital Forensics (ISDF2017) that will be held in Metropolitan College, Thessaloniki, Greece on Dec 8-10, 2017. The event will be held over three days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures. All registered papers will be published in SDIWC Digital Library, and in the proceedings of the conference.
Submitted by Jenevieve Zuckerberg on December 6th, 2016
You are invited to participate in The Fourth International Conference On Digital Enterprise and Information Systems (DEIS2017) that will be held in Jakarta, Indonesia, on July 19 - 20, 2017. The event will be held over two days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures.
Submitted by Jerika Richards on December 6th, 2016

PROGRAM GUIDELINES
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Solicitation  17-529

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 16-1), is effective for proposals submitted, or due, on or after January 25, 2016. Please be advised that, depending on the specified due date, the guidelines contained in NSF 16-1 may apply to proposals submitted in response to this funding opportunity.

DUE DATES

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Full Proposal Window

February 20, 2017 - March 6, 2017

SYNOPSIS Image removed.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technology will transform the way people interact with engineered systems -- just as the Internet has transformed the way people interact with information. New smart CPS will drive innovation and competition in sectors such as agriculture, energy, transportation, building design and automation, healthcare, and manufacturing.

The December 2010 report of the President's Council of Advisors on Science and Technology (PCAST) titled Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology calls for continued investment in CPS research because of its scientific and technological importance as well as its potential impact on grand challenges in a number of sectors critical to U.S. security and competitiveness such as the ones noted above. These challenges and technology gaps are further described in a CPS Vision Statement published in 2012 by the federal Networking and Information Technology Research and Development (NITRD) CPS Senior Steering Group.

Tremendous progress has been made in advancing CPS technology. We have explored foundational technologies that have spanned an ever-growing set of application domains, enabling breakthrough achievements in many of these fields. At the same time, the demand for innovation in these domains continues to grow, and is driving the need to accelerate fundamental research to keep pace. 

Despite significant inroads into CPS technology in recent years, we do not yet have a mature science to support systems engineering of high-confidence CPS, and the consequences are profound. Traditional analysis tools are unable to cope with the full complexity of CPS or adequately predict system behavior. For example, as the Internet of Things (IoT) scales to billions of connected devices -- with the capacity to sense, control, and otherwise interact with the human and physical world -- the requirements for dependability, security, safety, and privacy grow immensely. One barrier to progress is the lack of appropriate science and technology to conceptualize and design for the deep interdependencies among engineered systems and the natural world. The challenges and opportunities for CPS are thus significant and far-reaching. New relationships between the cyber and physical components require new architectural models that redefine form and function. They integrate the continuous and discrete, compounded by the uncertainty of open environments. Traditional real-time performance guarantees are insufficient for CPS when systems are large and spatially, temporally, or hierarchically distributed in configurations that may rapidly change. With the greater autonomy and cooperation possible with CPS, greater assurances of safety, security, scalability, and reliability are demanded, placing a high premium on open interfaces, modularity, interoperability, and verification.

The goal of the CPS program is to develop the core system science needed to engineer complex cyber-physical systems that people can use or interact with and depend upon. Some of these may require high-confidence or provable behaviors. The program aims to foster a research community committed to advancing research and education in CPS and to transitioning CPS science and technology into engineering practice. By abstracting from the particulars of specific systems and application domains, the CPS program seeks to reveal cross-cutting fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application sectors. To expedite and accelerate the realization of cyber-physical systems in a wide range of applications, the CPS program also supports the development of methods, tools, and hardware and software components based upon these cross-cutting principles, along with validation of the principles via prototypes and testbeds. We have also seen a convergence of CPS technologies and research thrusts that underpin Smart & Connected Communities (S&CC) and the Internet of Things (IoT). These domains offer new and exciting challenges for foundational research and provide opportunities for maturation at multiple time horizons.

In 2017, NSF is working closely with multiple agencies of the federal government, including the U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T); the U.S. Department of Transportation (DOT) Federal Highway Administration (FHWA), and through FHWA, the U.S. DOT Intelligent Transportation Systems (ITS) Joint Program Office (JPO); the National Aeronautics and Space Administration (NASA) Aeronautics Research Mission Directorate (ARMD); several National Institutes of Health (NIH) institutes and centers [including the National Institute of Biomedical Imaging and Bioengineering (NIBIB), Office of Behavioral and Social Sciences Research (OBSSR), National Cancer Institute (NCI), and National Center for Advancing Translational Sciences (NCATS)]; and the U.S. Department of Agriculture-National Institute of Food and Agriculture (USDA-NIFA, hereafter referred to as NIFA). Key goals are to identify basic CPS research directions that are common across multiple application domains, along with opportunities for accelerated transition to practice.

Three classes of research and education projects -- differing in scope and goals -- will be considered through this solicitation:

  • Small projects may be requested for a total of up to $500,000 for a period of up to 3 years. They are well suited to emerging new and innovative ideas that will have high impact on the field of cyber-physical systems.

  • Medium projects may be requested for a total budget ranging from $500,001 to $1,000,000 for a period of up to four years. They are well suited to multi-disciplinary projects that accomplish clear goals requiring integrated perspectives spanning the disciplines.

  • Frontier projects must address clearly identified critical CPS challenges that cannot be achieved by a set of smaller projects. Funding may be requested for a total of $1,000,001 to $7,000,000 for a period of 4 to 5 years.

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What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program

News

General Announcement
Not in Slideshow
Emily  Wehby Submitted by Emily Wehby on December 5th, 2016
Event
ICDIPC2017
You are invited to "The Seventh International Conference on Digital Information Processing and Communications (ICDIPC2017)" ICDIPC2017 will be held at the Asian Pacific University Kuala Lumpur, Malaysia on July 11 - 13, 2017. You may submit your research paper or may attend as guest. ------------------ The conference welcome papers on the following (but not limited to) research topics:
Submitted by Frelyn Esteves on November 2nd, 2016
Event
ICETC 2017
The Fourth International Conference on Education, Technologies and Computers (ICETC2017) The event will be held over three days, with presentations delivered by researchers from the international community, including presentations from keynote speakers and state-of-the-art lectures. Topics:
Submitted by Hazel Ann on October 21st, 2016
This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level. Charging at both commercial charging stations and at residences will be considered, for both the case when PEVs only function as loads, and the case when they can also function as sources, equipped with vehicle-to-home (V2H) or vehicle-to-grid (V2G) energy reinjection capability. The focus of the project is on distributed decision making by various individual players to achieve analytical system-level performance guarantees. Electrification of the transportation market offers revenue growth for utility companies and automobile manufacturers, lower operational costs for consumers, and benefits to the environment. By addressing problems that will arise as PEVs impose extra load on the grid, and by solving challenges that currently impede the use of PEVs as distributed storage resources, this research will directly impact the society. The design principles gained will also be applicable to other cyber-physical infrastructural systems. A close collaboration with industrial partners will ground the research in real problems and ensure quick dissemination of results to the marketplace. A strong educational component will integrate the proposed research into the classroom to allow better training of both undergraduate and graduate students.
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California Institute of Technology
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National Science Foundation
Submitted by Vijay Gupta on September 28th, 2016
Motivated by the fact that the 2014 Ebola outbreak is the largest in history and there is a pressing need to understand how to improve delivery of care with the right technological interventions at the right place, this Rapid Response Research is aimed at realizing a human-in-the-loop medical cyber-physical system (CPS) for monitoring patients, insuring compliance with relevant safety protocols, and collecting data for advancing multidisciplinary research on infectious disease control. The ultimate goal is to enhance safety of Ebola workers by minimizing their contact with potentially contaminated surfaces and materials through integration of methods and technologies to realize smart and connected treatment clinics. This project could impact the response to infectious disease outbreaks by augmenting existing treatment clinics with cost-effective, modular, reconfigurable and
 open-design CPS technologies. The project will train a new cadre of engineering students, researchers and innovators to be 
sensitive to societal needs and national priorities by involving K-Gray, undergraduate and graduate students in all aspects of the project, especially at the co-ideation and co-design stages. The project will bring together a multidisciplinary team of engineers, scientists, technologists, medical experts, and humanitarian aid workers to develop holistic solutions to infectious disease control. The broader impacts also include operational cost savings in treatment clinics by reducing the need and use of the personal protective equipment and preserve resources such as water by reducing consumption. In order to prevent, detect and respond to current Ebola outbreak and future similar infectious disease outbreaks, this research plan has the following interconnected aims: (1) contribute new knowledge, methods, and tools to better understand the operational procedures in an infectious disease treatment clinic, (2) design, implement and validate a treatment ward augmented with a medical CPS for patient monitoring, (3) apply intuitive control interfaces and data visualization tools for practical human-robot interaction, (4) realize traded, coordinated and collaborative shared control techniques for safe and effective mobile robot navigation inside a treatment facility, (5) assess acceptability and effectiveness of the technology among health care workers and patients. The team will develop a self-contained, modular and reconfigurable system composed of a connected sensor network for patient monitoring and a mobile robot platform for telemedicine that will primarily focus on the interoperability and integration of existing standardized 
hardware and software systems to realize a testbed for verification and validation of a medical CPS. Medical, emergency response and humanitarian aid experts will be engaged to critically assess user-experiences and acceptability among medical staff to develop pathways for fielding the system in a treatment clinic. This RAPID project will lead the way in designing the next generation of human-in-the-loop medical CPS for empowering health care workers worldwide in treating patients during infectious disease outbreaks.
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Worcester Polytechnic Institute
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National Science Foundation
Sonia Chernova
Michael Gennert
Jeanine Skorinko
Taskin Padir Submitted by Taskin Padir on September 28th, 2016
Inadequate system understanding and inadequate situational awareness have caused large-scale power outages in the past. With the increased reliance on variable energy supply sources, system understanding and situational awareness of a complex energy system become more challenging. This project leverages the power of big data analytics to directly improve system understanding and situational awareness. The research provides the methodology for detecting anomalous events in real-time, and therefore allow control centers to take appropriate control actions before minor events develop into major blackouts. The significance for the society and for the power industry is profound. Energy providers will be able to prevent large-scale power outages and reduce revenue losses, and customers will benefit from reliable energy delivery with service guarantees. Students, including women and underrepresented groups, will be trained for the future workforce in this area. The project includes four major thrusts: 1) real-time anomaly detection from measurement data; 2) real-time event diagnosis and interpretation of changes in the state of the network; 3) real-time optimal control of the power grid; 4) scientific foundations underpinning cyber-physical systems. The major outcome of this project is practical solutions to event or fault detection and diagnosis in the power grid, as well as prediction and prevention of large-scale power outages.
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University of Chicago
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National Science Foundation
Submitted by Mihai Anitescu on September 24th, 2016
Equipment operation represents one of the most dangerous tasks on a construction sites and accidents related to such operation often result in death and property damage on the construction site and the surrounding area. Such accidents can also cause considerable delays and disruption, and negatively impact the efficiency of operations. This award will conduct research to improve the safety and efficiency of cranes by integrating advances in robotics, computer vision, and construction management. It will create tools for quick and easy planning of crane operations and incorporate them into a safe and efficient system that can monitor a crane's environment and provide control feedback to the crane and the operator. Resulting gains in safety and efficiency will reduce fatal and non-fatal crane accidents. Partnerships with industry will also ensure that these advances have a positive impact on construction practice, and can be extended broadly to smart infrastructure, intelligent manufacturing, surveillance, traffic monitoring, and other application areas. The research will involve undergraduates and includes outreach to K-12 students. The work is driven by the hypothesis that the monitoring and control of cranes can be performed autonomously using robotics and computer vision algorithms, and that detailed and continuous monitoring and control feedback can lead to improved planning and simulation of equipment operations. It will particularly focus on developing methods for (a) planning construction operations while accounting for safety hazards through simulation; (b) estimating and providing analytics on the state of the equipment; (c) monitoring equipment surrounding the crane operating environment, including detection of safety hazards, and proximity analysis to dynamic resources including materials, equipment, and workers; (d) controlling crane stability in real-time; and (e) providing feedback to the user and equipment operators in a "transparent cockpit" using visual and haptic cues. It will address the underlying research challenges by improving the efficiency and reliability of planning through failure effects analysis and creating methods for contact state estimation and equilibrium analysis; improving monitoring through model-driven and real-time 3D reconstruction techniques, context-driven object recognition, and forecasting motion trajectories of objects; enhancing reliability of control through dynamic crane models, measures of instability, and algorithms for finding optimal controls; and, finally, improving efficiency of feedback loops through methods for providing visual and haptic cues.
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Pennsylvania State University
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National Science Foundation
John Messner
Submitted by Chinemelu Anumba on September 24th, 2016
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