CPS: Synergy: Collaborative Research: A Unified System Theoretic Framework for Cyber Attack-Resilient Power Grid
Lead PI:
Umesh Vaidya
Co-PI:
Abstract
The electric power grid is a complex cyber-physical system, whose reliable and secure operation is of paramount importance to national security and economic vitality. There is a growing and evolving threat of cyber-based attacks, both in numbers and sophistication, on the nation's critical infrastructure. Therefore, cyber security "encompassing attack prevention, detection, mitigation, and resilience" is critical in today's power grid and the emerging smart grid.
Performance Period: 10/01/2013 - 09/30/2016
Institution: Iowa State University
Sponsor: National Science Foundation
Award Number: 1329915
CPS: Synergy: Collaborative Research: Mutually Stabilized Correction in Physical Demonstration
Lead PI:
Todd Murphey
Co-PI:
Abstract
Objective: How much a person should be allowed to interact with a controlled machine? If that machine is safety critical, and if the computer that oversees its operation is essential to its operation and safety, the answer may be that the person should not be allowed to interfere with its operation at all or very little. Moreover, whether the person is a novice or an expert matters. Intellectual Merit: This research algorithmically resolves the tension between the need for safety and the need for performance, something a person may be much more adept at improving than a machine.
Performance Period: 10/01/2013 - 09/30/2017
Institution: Northwestern University
Sponsor: National Science Foundation
Award Number: 1329891
Project URL
CPS: Synergy: Integrated Emergency Cyber Physical Human Systems
Lead PI:
Lui Sha
Co-PI:
Abstract
This project will develop architecture and supporting enabling technologies to avert imminent loss of life or property in fast changing environments. The selected application is resuscitation in an intensive care unit (ICU) because it is life critical, time critical, human-centric and includes complex devices and software. For example, heart attack can be obscured in a trauma patient hemorrhaging from a broken leg in the presence of a collapsed lung. The challenge lies in solving the overarching difficulties of safe execution while maintaining complex and dynamic workflows.
Lui Sha

http://publish.illinois.edu/cpsintegrationlab/people/lui-sha/

Performance Period: 10/01/2013 - 09/30/2016
Institution: University of Illinois at Urbana-Champaign
Sponsor: National Science Foundation
Award Number: 1329886
CPS: Synergy: Collaborative Research: A Unified System Theoretic Framework for Cyber Attack-Resilient Power Grid
Lead PI:
Makan Fardad
Abstract
The electric power grid is a complex cyber-physical system, whose reliable and secure operation is of paramount importance to national security and economic vitality. There is a growing and evolving threat of cyber-based attacks, both in numbers and sophistication, on the nation's critical infrastructure. Therefore, cyber security "encompassing attack prevention, detection, mitigation, and resilience" is critical in today's power grid and the emerging smart grid.
Performance Period: 10/01/2013 - 09/30/2016
Institution: Syracuse University
Sponsor: National Science Foundation
Award Number: 1329885
CPS: Synergy: Collaborative Research: Formal Models of Human Control and Interaction with Cyber-Physical Systems
Meeko Oishi
Lead PI:
Meeko Oishi
Abstract
Cyber-Physical Systems (CPS) encompass a large variety of systems including for example future energy systems (e.g. smart grid), homeland security and emergency response, smart medical technologies, smart cars and air transportation. One of the most important challenges in the design and deployment of Cyber-Physical Systems is how to formally guarantee that they are amenable to effective human control.
Meeko Oishi

Meeko Oishi received the Ph.D. (2004) and M.S. (2000) in Mechanical Engineering from Stanford University (Ph.D. minor, Electrical Engineering), and a B.S.E. in Mechanical Engineering from Princeton University (1998). She is a Professor of Electrical and Computer Engineering at the University of New Mexico. Her research interests include human-centric control, stochastic optimal control, and autonomous systems. She previously held a faculty position at the University of British Columbia at Vancouver, and postdoctoral positions at Sandia National Laboratories and at the National Ecological Observatory Network. She was a Visiting Researcher at AFRL Space Vehicles Directorate, and a Science and Technology Policy Fellow at The National Academies. She is the recipient of the NSF CAREER Award and a member of the 2021-2023 DoD Defense Science Study Group.

Performance Period: 09/15/2013 - 08/31/2016
Institution: University of New Mexico
Sponsor: National Science Foundation
Award Number: 1329878
Project URL
CPS: Synergy: Plug-and-Play Cyber-Physical Systems to Enable Intelligent Buildings
Lead PI:
Jianghai Hu
Abstract
1329875 (Hu). Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the introduction of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diffuse nature. To address this challenge, a modular approach will be investigated for building design, construction, and operation that would completely transform the building industry.
Performance Period: 01/01/2014 - 12/31/2016
Institution: Purdue University
Sponsor: National Science Foundation
Award Number: 1329875
CPS: Synergy: Collaborative Research: Engineering Safety-Critical Cyber-Physical-Human Systems
Lead PI:
Xiaofeng Wang
Abstract
This cross-disciplinary project brings together a team of engineering and computer science researchers to create, validate, and demonstrate the value of new techniques for ensuring that systems composed of combinations of hardware, software, and humans are designed to operate in a truly synergistic and safe fashion.
Performance Period: 10/01/2013 - 09/30/2016
Institution: University of South Carolina at Columbia
Sponsor: National Science Foundation
Award Number: 1329870
CPS: Synergy: Collaborative Research: Safety-Feature Modeling and Adaptive Resource Management for Mixed-Criticality Cyber-Physical Systems
Christopher Gill
Lead PI:
Christopher Gill
Co-PI:
Abstract
To ensure operational safety of complex cyber-physical systems such as automobiles, aircraft, and medical devices, new models, analyses, platforms, and development techniques are needed that can predict, possible interactions between features, detect them in the features' concrete implementations, and either eliminate or mitigate such interactions through precise modeling and enforcement of mixed-criticality cyber-physical system semantics.
Performance Period: 10/01/2013 - 09/30/2017
Institution: Washington University in St. Louis
Sponsor: National Science Foundation
Award Number: 1329861
CPS: Synergy: Collaborative Research: Thermal-Aware Management of Cyber-Physical Systems
C.Mani  Krishna
Lead PI:
C.Mani Krishna
Co-PI:
Abstract
Processors in cyber-physical systems are increasingly being used in applications where they must operate in harsh ambient conditions and a computational workload which can lead to high chip temperatures. Examples include cars, robots, aircraft and spacecraft. High operating temperatures accelerate the aging of the chips, thus increasing transient and permanent failure rates. Current ways to deal with this mostly turn off the processor core or drastically slow it down when some part of it is seen to exceed a given temperature threshold.
Performance Period: 10/01/2013 - 09/30/2016
Institution: University of Massachusetts Amherst
Sponsor: National Science Foundation
Award Number: 1329831
CPS: Synergy: A Novel Biomechatronic Interface Based on Wearable Dynamic Imaging Sensors
Co-PI:
Abstract
The problem of controlling biomechatronic systems, such as multiarticulating prosthetic hands, involves unique challenges in the science and engineering of Cyber Physical Systems (CPS), requiring integration between computational systems for recognizing human functional activity and intent and controlling prosthetic devices to interact with the physical world. Research on this problem has been limited by the difficulties in noninvasively acquiring robust biosignals that allow intuitive and reliable control of multiple degrees of freedom (DoF).
Performance Period: 02/01/2014 - 01/31/2018
Institution: George Mason University
Sponsor: National Science Foundation
Award Number: 1329829
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