CPS: Synergy: Cyber-Enabled Repetitive Motions in Rehabilitation
Lead PI:
Hanz Richter
Co-PI:
Abstract
The project will produce breakthroughs in the science of human-machine interaction and will produce lasting impacts on exercise machine technologies. The proposed Cyber-Enabled Exercise Machines (CEEMs) adapt to their users, seeking to maximize the effectiveness of exercise while guaranteeing safety. CEEMs measure and process biomechanical variables and generate adjustments to its own resistance, and generate cues to be followed by the exerciser. CEEMs are reconfigurable by software, which permits a wide range of exercises with the same hardware.
Hanz Richter

Dr. Richter received his Bachelor of Science degree in Mechanical Engineering from the Catholic University of Peru in 1994 and the Master of Science and Doctor of Philosophy degrees in Mechanical Engineering from Oklahoma State University in 1997 and 2001, respectively. He received a National Research Council postdoctoral fellowship to conduct research at the NASA John C. Stennis Space Center in Mississippi between 2001 and 2004.  In 2004, he was appointed as an Assistant Professor in Mechanical Engineering at Cleveland State University, and was subsequently promoted to Associate Professor in 2010. His research interests include robust control, modeling and optimization with applications to aerospace, biomedical, robotic and mechatronic systems.

Performance Period: 10/01/2015 - 08/31/2020
Institution: Cleveland State University
Sponsor: National Science Foundation
Award Number: 1544702
CPS: TTP Option: Synergy: Collaborative Research: An Executable Distributed Medical Best Practice Guidance (EMBG) System for End-to-End Emergency Care from Rural to Regional Center
Shangping Ren
Lead PI:
Shangping Ren
Abstract
In the United States, there is still a great disparity in medical care and most profoundly for emergency care, where limited facilities and remote location play a central role. Based on the Wessels Living History Farm report, the doctor to patient ratio in the United States is 30 to 10,000 in large metropolitan areas, only 5 to 10,000 in most rural areas; and the highest death rates are often found in the most rural counties. For emergency patient care, time to definitive treatment is critical. However, deciding the most effective care for an acute patient requires knowledge and experience.
Performance Period: 09/15/2015 - 08/31/2018
Institution: Illinois Institute of Technology
Sponsor: National Science Foundation
Award Number: 1545008
Project URL
CPS: Synergy: Collaborative Research: Matching Parking Supply to Travel Demand towards Sustainability: a Cyber Physical Social System for Sensing Driven Parking
Lead PI:
Zhen Qian
Abstract
Parking can take up a significant amount of the trip costs (time and money) in urban travel. As such, it can considerably influence travelers' choices of modes, locations, and time of travel. The advent of smart sensors, wireless communications, social media and big data analytics offers a unique opportunity to tap parking's influence on travel to make the transportation system more efficient, cleaner, and more resilient. A cyber-physical social system for parking is proposed to realize parking's potential in achieving the above goals.
Performance Period: 09/15/2015 - 08/31/2019
Institution: Carnegie Mellon University
Sponsor: National Science Foundation
Award Number: 1544826
RCN: SAVI: Adaptive Management and Use of Resilient Infrastructures in Smart Cities: Support for Global Collaborative Research on Real-Time Analytics of Heterogeneous Big Data
Lead PI:
Calton Pu
Abstract
Cities provide ready and efficient access to facilities and amenities through shared civil infrastructures such as transportation and healthcare. Making such critical infrastructures resilient to sudden changes, e.g., caused by large-scale disasters, requires careful management of limited and varying resources.
Performance Period: 09/15/2015 - 08/31/2019
Institution: Georgia Institute of Technology
Sponsor: National Science Foundation
Award Number: 1550379
CPS: Synergy: Security of Distributed Cyber-Physical Systems with Connected Vehicle Applications
Lead PI:
Pierluigi Pisu
Co-PI:
Abstract
This project aims to accelerate the deployment of security measures for cyber-physical systems (CPSs). A framework is proposed that combines anomaly identification approaches, which emphasizes on the development of decentralized cyber-attack monitoring and diagnostic-like components, with robust control countermeasure to improve reliability and maintain system functionality.
Performance Period: 10/01/2015 - 10/31/2019
Institution: Clemson University
Sponsor: National Science Foundation
Award Number: 1544910
Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems
Lead PI:
Miroslav Pajic
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: 09/01/2015 - 08/31/2018
Institution: Duke University
Sponsor: National Science Foundation
Award Number: 1505701
CPS: Synergy: Architecture for future distribution systems including active consumers with rooftop solar generation
Anil  Pahwa
Lead PI:
Anil Pahwa
Co-PI:
Abstract
Power systems have seen many changes over the last decade including the increased penetration of renewable generation, electric vehicles and new technologies for sensing, communication and control of a Smart Grid. The most significant impact of these changes are being felt at the consumer level. The ability for consumers and end devices to buy and sell energy and related services in a dynamic and interactive manner is expected to create a transactive energy market as highlighted in the Dec 2014 report of GridWise Alliance.
Performance Period: 10/01/2015 - 09/30/2019
Institution: Kansas State University
Sponsor: National Science Foundation
Award Number: 1544705
CPS: TTP Option: Synergy: Collaborative Research: Nested Control of Assistive Robots through Human Intent Inference
Taskin Padir
Lead PI:
Taskin Padir
Abstract
Part 1: Upper-limb motor impairments arise from a wide range of clinical conditions including amputations, spinal cord injury, or stroke. Addressing lost hand function, therefore, is a major focus of rehabilitation interventions; and research in robotic hands and hand exoskeletons aimed at restoring fine motor control functions gained significant speed recently. Integration of these robots with neural control mechanisms is also an ongoing research direction.
Performance Period: 10/01/2015 - 09/30/2019
Institution: WPI
Sponsor: National Science Foundation
Award Number: 1544636
CPS: Synergy: Collaborative Research: Semi-Automated Emergency Response System
Co-PI:
Abstract
The objective of this research is to design a semi-automated, efficient, and secure emergency response system to reduce the time it takes emergency vehicles to reach their destinations, while increasing the safety of non-emergency vehicles and emergency vehicles alike. Providing route and maneuver guidance to emergency vehicles and non-emergency vehicles will make emergency travel safer and enable police and other first responders to reach and transport those in need, in less time.
Performance Period: 01/01/2016 - 12/31/2019
Institution: Virginia Polytechnic Institute and State University
Sponsor: National Science Foundation
Award Number: 1544601
CPS: Synergy: Collaborative Research: Extracting time-critical situational awareness from resource constrained networks
Lead PI:
Sharad Mehrotra
Abstract
The goal of this project is to facilitate timely retrieval of dynamic situational awareness information from field-deployed nodes by an operational center in resource-constrained uncertain environments, such as those encountered in disaster recovery or search and rescue missions. This is an important cyber physical system problem with perspectives drawn at a system and platform level, as well as at the system of systems level. Technology advances allow the deployment of field nodes capable of returning rich content (e.g., video/images) that can significantly aid rescue and recovery.
Performance Period: 10/01/2015 - 09/30/2019
Institution: University of California-Irvine
Sponsor: National Science Foundation
Award Number: 1545071
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