CPS: Synergy: Collaborative Research: Design and Control of High-performance Provably-safe Autonomy-enabled Dynamic Transportation Networks
Lead PI:
Zhi-Hong Mao
Abstract
During the last decade, we have witnessed a rapid penetration of autonomous systems technology into aerial, road, underwater, and sea vehicles. The autonomy assumed by these vehicles holds the potential to increase performance significantly, for instance, by reducing delays and increasing capacity, while enhancing safety, in a number of transportation systems. However, to exploit the full potential of these autonomy-enabled transportation systems, we must rethink transportation networks and control algorithms that coordinate autonomous vehicles operating on such networks.
Performance Period: 09/15/2015 - 08/31/2019
Institution: University of Pittsburgh
Sponsor: National Science Foundation
Award Number: 1544578
CPS: Synergy: Safety-Aware Cyber-Molecular Systems
Lead PI:
Robyn Lutz
Co-PI:
Abstract
Many practical systems such as smart grid, unmanned aerial vehicles (UAVs) and robotic networks can be categorized as cyber physical systems (CPS). A typical CPS consists of physical dynamics, sensors, communication network and controllers. The communication network is of key importance in CPS, since it mimics the nerve system in the human body. Hence, it is critical to study how the communication network in CPS should be analyzed and designed.
Performance Period: 09/15/2015 - 08/31/2019
Institution: Iowa State University
Sponsor: National Science Foundation
Award Number: 1545028
CPS: Breakthrough: An Entropy Framework for Communications and Dynamics Interdependency in Cyber Physical Systems: Analysis, Design and Implementation
Lead PI:
Husheng Li
Abstract
Many practical systems such as smart grid, unmanned aerial vehicles (UAVs) and robotic networks can be categorized as cyber physical systems (CPS). A typical CPS consists of physical dynamics, sensors, communication network and controllers. The communication network is of key importance in CPS, since it mimics the nerve system in the human body. Hence, it is critical to study how the communication network in CPS should be analyzed and designed.
Performance Period: 09/15/2015 - 08/31/2019
Institution: University of Tennessee Knoxville
Sponsor: National Science Foundation
Award Number: 1543830
Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems
Insup Lee
Lead PI:
Insup Lee
Co-PI:
Abstract
Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on security of general-purpose computation and on privacy in communication and social interactions. The advent of cyber-physical systems (e.g., safety-critical IoT), which aim at tight integration between distributed computational intelligence, communication networks, physical world, and human actors, opens new horizons for intelligent systems with advanced capabilities.
Performance Period: 09/15/2015 - 08/31/2018
Institution: University of Pennsylvania
Sponsor: National Science Foundation
Award Number: 1505799
CPS: Breakthrough: Sufficient Statistics for Multi-Agent Systems
Lead PI:
Sanjay Lall
Abstract
This research addresses the science of Cyber-Physical Systems. In a multi-agent system, each agent is faced with the task of making decisions taking account of the objectives and actions of other agents, as well as the dynamics of the environment. In such a distributed system each agent receives measurements of its environment, and must infer both the state of the world as well as that of the other agents.
Performance Period: 09/15/2015 - 08/31/2019
Institution: Stanford University
Sponsor: National Science Foundation
Award Number: 1544199
CPS: Synergy: Collaborative Research: Design and Control of High-performance Provably-safe Autonomy-enabled Dynamic Transportation Networks
Lead PI:
Sertac Karaman
Abstract
During the last decade, we have witnessed a rapid penetration of autonomous systems technology into aerial, road, underwater, and sea vehicles. The autonomy assumed by these vehicles holds the potential to increase performance significantly, for instance, by reducing delays and increasing capacity, while enhancing safety, in a number of transportation systems. However, to exploit the full potential of these autonomy-enabled transportation systems, we must rethink transportation networks and control algorithms that coordinate autonomous vehicles operating on such networks.
Performance Period: 09/15/2015 - 08/31/2019
Institution: Massachusetts Institute of Technology
Sponsor: National Science Foundation
Award Number: 1544413
CPS: Breakthrough: Collaborative Research: Securing Smart Grid by Understanding
Krishna Kant
Lead PI:
Krishna Kant
Co-PI:
Abstract
Smart grid includes two interdependent infrastructures: power transmission and distribution network, and the supporting telecommunications network. Complex interactions among these infrastructures lead to new pathways for attack and failure propagation that are currently not well understood. This innovative project takes a holistic multilevel approach to understand and characterize the interdependencies between these two infrastructures, and devise mechanisms to enhance their robustness. Specifically, the project has four goals.
Performance Period: 09/01/2015 - 08/31/2019
Institution: Temple University
Sponsor: National Science Foundation
Award Number: 1544904
CPS: Synergy: Collaborative Research: Fault Tolerant Brain Implantable Cyber-Physical System
Lead PI:
Glenn Boreman
Co-PI:
Abstract
Epilepsy is one of the most common neurological disorders, affecting between 0.4% and 1% of the world's population. While seizures can be controlled in approximately two thirds of newly diagnosed patients through the use of one or more antiepileptic drugs (AEDs), the remainder experience seizures even on multiple medications. The primary impacts of the chronic condition of epilepsy on a patient are a lower quality of life, loss of productivity, comorbidities, and increased risk of death.
Performance Period: 10/01/2015 - 09/30/2019
Institution: University of North Carolina at Charlotte
Sponsor: National Science Foundation
Award Number: 1544633
Synergy: Collaborative: CPS-Security: End-to-End Security for the Internet of Things
Lead PI:
Dutta Prabal
Abstract
Computation is everywhere. Greeting cards have processors that play songs. Fireworks have processors for precisely timing their detonation. Computers are in engines, monitoring combustion and performance. They are in our homes, hospitals, offices, ovens, planes, trains, and automobiles. These computers, when networked, will form the Internet of Things (IoT). The resulting applications and services have the potential to be even more transformative than the World Wide Web. The security implications are enormous. Internet threats today steal credit cards.
Performance Period: 09/01/2015 - 08/31/2018
Institution: University of Michigan at Ann Arbor
Sponsor: National Science Foundation
Award Number: 1505684
CPS: Synergy: Cyber Physical Regional Freight Transportation System Start
Petros Ioannou
Lead PI:
Petros Ioannou
Abstract
The objective of this project is to develop optimization and control techniques and integrate them with real-time simulation models to achieve load balancing in complex networks. The application case is the regional freight system. Freight moves on rail and road networks which are also shared by passengers. These networks today work independently, even though they are highly interdependent, and the result is inefficiencies in the form of congestion, pollution, and excess fuel consumption. These inefficiencies are observed for example by the peaks of demand across time and space.
Petros Ioannou

Petros A. Ioannou  received the B.Sc. degree with First Class Honors from University College, London, England, in 1978 and the M.S. and Ph.D. degrees from the University of Illinois, Urbana, Illinois, in 1980 and 1982, respectively. In 1982, Dr. Ioannou joined the Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, California.  He is currently a Professor in the same Department and the Director of the Center of Advanced Transportation Technologies and Associate Director for Research of METRANS, a University Transportation Center. He also holds a courtesy appointment with the Department of Aerospace and Mechanical Engineering and the Department of Industrial Engineering. His research interests are in the areas of adaptive control, neural networks, nonlinear systems, vehicle dynamics and control, intelligent transportation systems and marine transportation. Dr. Ioannou was the recipient of the Outstanding Transactions Paper Award by the IEEE Control System Society in 1984 and the recipient of a 1985 Presidential Young Investigator Award for his research in Adaptive Control. In 2009 he received the IEEE ITSS Outstanding ITS Application Award and the  IET Heaviside Medal for Achievement in Control by the Institution of Engineering and Technology (former IEE). In 2012 he received the IEEE ITSS Outstanding ITS Research Award and in 2015 the 2016 IEEE Transportation Technologies Award. Dr. Ioannou is a Fellow of IEEE, Fellow of International Federation of Automatic Control (IFAC), Fellow of the Institution of Engineering and Technology (IET), and the author/co-author of 8 books and over 300 research papers in the area of controls, vehicle dynamics, neural networks, nonlinear dynamical systems and intelligent transportation systems. 

Performance Period: 10/01/2015 - 09/30/2019
Institution: University of Southern California
Sponsor: National Science Foundation
Award Number: 1545130
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