CPS: Breakthrough: Collaborative Research: Track and Fallback: Intrusion Detection to Counteract Carjack Hacks with Fail-Operational Feedback
Lead PI:
Gedare Bloom
Abstract
The security of every vehicle on the road is necessary to ensure the safety of every person on or near roadways, whether a motorist, bicyclist, or pedestrian. Features such as infotainment, telematics, and driver assistance greatly increase the complexity of vehicles: top-of-the-line cars contain over 200 computers and 100 million lines of software code. With rising complexity comes rising costs to ensure safety and security.
Performance Period: 10/01/2016 - 09/30/2019
Institution: Howard University
Sponsor: National Science Foundation
Award Number: 1646317
CPS: Synergy: Distributed coordination of smart devices to mitigate intermittency of renewable generation for a smarter and sustainable power grid
Prabir Barooah
Lead PI:
Prabir Barooah
Co-PI:
Abstract
The ultimate goal of the project is to help the electric grid become more reliable even when a large amount of electricity is generated from green, but intermittent - sources such as solar and wind. To deal with this intermittency, inexpensive source of energy storage are required. Instead of investing in batteries, this project seeks to obtain cheap storage by manipulating power demand in consumer loads through intelligent decision-making algorithms.
Performance Period: 10/01/2016 - 09/30/2019
Institution: University of Florida
Sponsor: National Science Foundation
Award Number: 1646229
CPS: Breakthrough: Control Improvisation for Cyber-Physical Systems
Lead PI:
Sanjit Seshia
Abstract
Inspired by the manner in which humans improvise in everyday life, this NSF project is creating a theory of algorithmic improvisation for cyber-physical systems design. It is developing a mathematical framework, supported by tools, to address the challenge of designing systems that adapt to uncertainty in their operating environment and to changing requirements. Moreover, this framework has broad relevance to many fields in computer science and engineering.
Performance Period: 01/01/2017 - 12/31/2019
Institution: University of California-Berkeley
Sponsor: National Science Foundation
Award Number: 1646208
CPS: Breakthrough: Collaborative Research: Track and Fallback: Intrusion Detection to Counteract Carjack Hacks with Fail-Operational Feedback
Joseph Zambreno
Lead PI:
Joseph Zambreno
Abstract
The security of every vehicle on the road is necessary to ensure the safety of every person on or near roadways, whether a motorist, bicyclist, or pedestrian. Features such as infotainment, telematics, and driver assistance greatly increase the complexity of vehicles: top-of-the-line cars contain over 200 computers and 100 million lines of software code. With rising complexity comes rising costs to ensure safety and security.
Performance Period: 10/01/2016 - 09/30/2019
Institution: Iowa State University
Sponsor: National Science Foundation
Award Number: 1645987
CPS:Breakthrough:Software Defined Solar Systems
Lead PI:
David Irwin
Co-PI:
Abstract
The rapid decrease in the cost of solar modules is motivating significant increases in distributed solar generation from rooftops and solar farms. Since the electric grid was not designed to support large-scale decentralized, intermittent, and uncontrollable solar generation, there are strict caps set on the amount of solar energy that may connect to the grid. Unfortunately, due to rapid solar growth, users are now starting to hit these caps. In addition, setting strict caps is highly inefficient, and wastes much of the grid's potential to accept solar power.
Performance Period: 07/01/2017 - 06/30/2020
Institution: University of Massachusetts Amherst
Sponsor: National Science Foundation
Award Number: 1645952
CPS: Frontier: Collaborative Research: Data-Driven Cyberphysical Systems
Lead PI:
Yisong Yue
Abstract
Data-driven cyber-physical systems are ubiquitous in many sectors including manufacturing, automotive, transportation, utilities and health care. This project develops the theory, methods and tools necessary to answer the central question "how can we, in a data-rich world, design and operate cyber-physical systems differently?" The resulting data-driven techniques will transform the design and operation process into one in which data and models - and human designers and operators - continuously and fluently interact. This integrated view promises capabilities beyond its parts.
Performance Period: 10/01/2017 - 09/30/2020
Institution: California Institute of Technology
Sponsor: National Science Foundation
Award Number: 1645832
CPS: Breakthrough: A science of CPS robustness
Paulo Tabuada
Lead PI:
Paulo Tabuada
Abstract
Cyber-Physical Systems (CPS) offer the promise for radical changes to our everyday life by enabling the physical world to be programmed in the same way that a computer is programmed. The physical world, however, is far less predictable than a computer and this renders the design of CPS very challenging. In order to reduce the impact of unforeseen events arising from the physical world, or even from the cyber world, this project develops a science of CPS robustness.
Paulo Tabuada

Paulo Tabuada was born in Lisbon, Portugal, one year after the Carnation Revolution. He received his "Licenciatura" degree in Aerospace Engineering from Instituto Superior Tecnico, Lisbon, Portugal in 1998 and his Ph.D. degree in Electrical and Computer Engineering in 2002 from the Institute for Systems and Robotics, a private research institute associated with Instituto Superior Tecnico. Between January 2002 and July 2003 he was a postdoctoral researcher at the University of Pennsylvania. After spending three years at the University of Notre Dame, as an Assistant Professor, he joined the Electrical Engineering Department at the University of California, Los Angeles, where he established and directs the Cyber-Physical Systems Laboratory. Paulo Tabuada's contributions to cyber-physical systems have been recognized by multiple awards including the NSF CAREER award in 2005, the Donald P. Eckman award in 2009 and the George S. Axelby award in 2011. In 2009 he co-chaired the International Conference Hybrid Systems: Computation and Control (HSCC'09) and in he was program co-chair for the 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'12). He currently serves as associate editor for the IEEE Transactions on Automatic Control and his latest book, on verification and control of hybrid systems, was published by Springer in 2009.

Performance Period: 09/01/2016 - 08/31/2019
Institution: University of California-Los Angeles
Sponsor: National Science Foundation
Award Number: 1645824
CPS:TTP Option: Synergy:Collaborative Research:Internet of Self-powered Sensors - Towards a Scalable Long-term Condition-based Monitoring and Maintenance of Civil Infrastructure
Lead PI:
Nizar Lajnef
Abstract
This research investigates a cyber-physical framework for scalable, long-term monitoring and maintenance of civil infrastructures. With growth of the world economy and its population, there has been an ever increasing dependency on larger and more complex networks of civil infrastructure as evident in the billions of dollars spent by the federal, state and local governments to either upgrade or repair transportation systems or utilities. Despite these large expenditures, the nation continues to suffer staggering consequences from infrastructural decay.
Performance Period: 09/01/2016 - 08/31/2020
Institution: Michigan State University
Sponsor: National Science Foundation
Award Number: 1645783
CPS: Synergy: Real-Time Cyber-Human-Vehicle Systems for Driving Safety Enhancement
Lead PI:
Junmin Wang
Abstract
Modern ground vehicles are complex cyber-physical systems (CPS) in which many functions are achieved by collaborative interactions between mechanical systems and electronic control units. In addition, human drivers also play important roles on the vehicle driving. For such cyber-human-vehicle systems (CHVS), the synergistic collaborations and integrations among human drivers, vehicle active motion control, and onboard real-time computation and communication are critical for enhancing vehicle driving safety.
Performance Period: 10/01/2016 - 09/30/2020
Institution: Ohio State University
Sponsor: National Science Foundation
Award Number: 1645657
EAGER: A Sensor Cloud-based Community-Centric Approach for Analyzing and Mitigating Urban Heat Hazards
Lead PI:
Deepak Mishra
Abstract
This project will analyze how smart and pervasive devices including human and vehicle-borne sensors can be harnessed to effectively map and identify urban heat islands (UHIs), and mitigate UHI associated risks on various communities. Excessive generation and retention of heat in urban areas by the built environment results in UHIs. Driven by climate change, extreme heat events are increasingly posing a major health hazard to many urban communities in U.S. and around the world.
Performance Period: 09/01/2016 - 08/31/2018
Institution: University of Georgia Research Foundation Inc
Sponsor: National Science Foundation
Award Number: 1637277
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