CPS:Small:Collaborative Research: Incentivizing Desirable User Behavior in a Class of CPS
Lead PI:
Vijay Gupta
Abstract
In Cyberphysical Systems (CPS) such as large scale infrastructure systems, individual users are shifting from being passive consumers of services to active participants. This shift promises societal, economic, and environmental benefits. For example, turning consumers into "prosumers" through distributed renewable energy integration can improve sustainability, and turning users into sources of data about traffic and road conditions can help alleviate congestion. However, an explosion of decision makers also leads to heterogeneity in concerns, aims, and quality of decision making.
Performance Period: 10/01/2017 - 09/30/2020
Institution: University of Notre Dame
Sponsor: National Science Foundation
Award Number: 1739295
CPS: Medium: Collaborative Research: Trustworthy Cyber-Physical Additive Manufacturing with Untrusted Controllers
Lead PI:
Raheem Beyah
Abstract
Additive manufacturing is finding increased application in industry. Safety-critical products, such as medical prostheses and parts for aerospace and automotive industries are being printed by additive manufacturing methods, but there currently are no standard methods for verifying the integrity of the parts that are produced. Trustworthy operation of industrial additive manufacturing depends on secure embedded controllers that monitor and control the underlying physical manufacturing processes.
Performance Period: 08/01/2017 - 07/31/2020
Institution: Georgia Tech Research Corporation
Sponsor: National Science Foundation
Award Number: 1739259
CPS: Small: Fusion of Sensory Data and Expansivity of System Dynamics for Detection and Separation of Signature Anomaly in Energy CPS Wide-Area Monitoring and Control
Nilanjan Ray Chaudhuri
Lead PI:
Nilanjan Ray Chaudhuri
Abstract
The proposed research focuses on innovation in the area of detection and separation of anomaly in sensory data used for real time monitoring and control of cyber-physical systems (CPS). In this work, bulk power grid is considered as an example CPS, which is a critical infrastructure of our nation. The problem of spurious or maliciously injected sensor data originating from cyber-attacks is very important, because it can seriously jeopardize the monitoring and stabilization controls of power grids. This can lead to system-wide blackouts and cost our economy billions of dollars.
Performance Period: 09/01/2017 - 08/31/2020
Institution: Pennsylvania State Univ University Park
Sponsor: National Science Foundation
Award Number: 1739206
EAGER: Resilient Control Systems with respect to Instrumentation Attacks: Theory and Testbed Verification
Lead PI:
Liang Zhang
Abstract
In a cyber-physical system, the operation of the physical plant is typically maintained by closed-loop control, which is intended to keep the plant process variables in a desired range. A major part of any control system is its instrumentation, i.e., sensors and actuators. Due to information exchange between the controller and the instrumentation, the control system performance may be compromised by attacks on its sensors and actuators. Indeed, the sensors may project erroneous information to the controller and the actuators may receive undesirable commands, possibly leading to a catastrophe.
Performance Period: 05/01/2017 - 04/30/2020
Institution: University of Connecticut
Sponsor: National Science Foundation
Award Number: 1723341
EAGER: Collaborative Research: Data Science Applications In Cyberphysical Systems for Health
Lead PI:
Clifford Dacso
Abstract
A cyberphysical system (CPS) in biology requires sensor input that represents, as closely as possible, cell activity. Much work is expended on the development of wearable sensors that detect the expression of cell activity filtered through many processes. Recent work discloses that gene transcription can be thought of as a signal, with periodic oscillations over time. The well-known 24 hour light-dark cycle has protean effects however shorter and longer cycles not only exist but have important roles to play in health and disease.
Performance Period: 09/15/2017 - 08/31/2019
Institution: Baylor College of Medicine
Sponsor: National Science Foundation
Award Number: 1703170
CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control for Large-Scale Wastewater Reuse and Algal Biomass Production
Lead PI:
Piya Pal
Abstract
This project develops advanced cyber-physical sensing, modeling, control, and optimization methods to significantly improve the efficiency of algal biomass production using membrane bioreactor technologies for waste water processing and algal biofuel. Currently, many wastewater treatment plants are discharging treated wastewater containing significant amounts of nutrients, such as nitrogen, ammonium, and phosphate ions, directly into the water system, posing significant threats to the environment.
Performance Period: 07/01/2016 - 09/30/2019
Institution: University of California-San Diego
Sponsor: National Science Foundation
Award Number: 1702394
EAGER: Collaborative Research: Data Science Applications In Cyberphysical Systems for Health
Lead PI:
Athanasios Antoulas
Abstract
A cyberphysical system (CPS) in biology requires sensor input that represents, as closely as possible, cell activity. Much work is expended on the development of wearable sensors that detect the expression of cell activity filtered through many processes. Recent work discloses that gene transcription can be thought of as a signal, with periodic oscillations over time. The well-known 24 hour light-dark cycle has protean effects however shorter and longer cycles not only exist but have important roles to play in health and disease.
Performance Period: 09/15/2017 - 08/31/2019
Institution: William Marsh Rice University
Sponsor: National Science Foundation
Award Number: 1701292
CPS:Synergy:Collaborative Research: Real-time Data Analytics for Energy Cyber-Physical Systems
Lead PI:
Maggie Cheng
Abstract
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.
Performance Period: 08/24/2016 - 08/31/2018
Institution: New Jersey Institute of Technology
Sponsor: National Science Foundation
Award Number: 1660025
CAREER: Foundations for Secure Control of Cyber-Physical Systems
Lead PI:
Miroslav Pajic
Abstract

The increasing set of functionalities, network interoperability, and system design complexity have introduced security vulnerabilities in cyber-physical systems (CPS). As recently demonstrated, a remote attacker can disrupt the operation of a car to either disable the vehicle or hijack it. High-profile security incidents in other CPS domains include a large-scale attack on Ukraine's power-grid and the StuxNet attack on an industrial system, while the RQ-170 Sentinel drone capture has shown that even safety-critical military CPS can be compromised.

Performance Period: 03/15/2017 - 02/29/2024
Institution: Duke University
Sponsor: National Science Foundation
Award Number: 1652544
CAREER: CPS: Internet of Wearable E-Textiles for Telemedicine
Kunal Mankodiya
Lead PI:
Kunal Mankodiya
Abstract
This CAREER project aims to translate the smart electronic textile (e-textile) technologies to fill the need for telemedicine. For example, there are around 10 million individuals across the globe who live with Parkinson's disease. They are majorly elderly patients who experience tremors, rigidity, slowness of movement, and difficulties in walking and driving. Despite their disabling condition, they need to make periodic visits to clinics for progressive checks and interventions.
Kunal Mankodiya

Dr. Kunal Mankodiya is a Professor of Biomedical Engineering at the University of Rhode Island and Director of the Wearable Biosensing Lab (WBL). His research focuses on developing wearable and health technologies to monitor the brain, body, and behavior. WBL conducts transformative research with support from federal agencies like NSF and NIH, state funding from RI Commerce, and foundation grants. A notable example of his work is the development of a smart glove system for Parkinson’s disease assessment, funded by the prestigious NSF CAREER and PFI-TT Awards. He is currently expanding this research internationally, collaborating with partners in India to advance Smart Glove technologies. To date, he has mentored 18 graduate students, 3 postdocs, and published over 115 research papers. 
As a prior co-founder and now scientific advisor for WellAware, a Rhode Island-based digital health startup, Dr. Mankodiya is passionate about bridging clinical needs with innovation. Through programs like HealthHacks and the Symposium on Smart Health & Wearables, he inspires the next generation to pursue med-tech innovation and entrepreneurship, advancing personalized medicine and accessible healthcare globally. Born in India, Dr. Mankodiya brings a global perspective, with an MS and PhD from Uni-Luebeck, Germany, and postdoctoral research at Carnegie Mellon University, USA.

Performance Period: 06/01/2017 - 05/31/2022
Institution: University of Rhode Island
Sponsor: National Science Foundation
Award Number: 1652538
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