Position Opening: Cyber-Physical Systems Program Director (CISE/CNS)

Position Opening: Cyber-Physical Systems Program Director (CISE/CNS)

The National Science Foundation (NSF) is seeking a qualified candidate for an Interdisciplinary (Cyber-Physical Systems Program Director) position within the Directorate for Computer and Information Science and Engineering (CISE), Division of Computer Network Systems (CNS) in Alexandria, VA.

Please find out more here: https://www.usajobs.gov/job/777342600

This position is open for a Rotational IPA assignment. Applications will be accepted from all US citizens who meet citizenship and eligibility requirements. 

Submitted by Regan Williams on

NIST CPS PWG

Submitted by Anonymous on

NIST Cyber-Physical Systems Public Working Group

What are Cyber-Physical Systems or CPS?

  • Is a CPS any engineered system with a microprocessor?
  • Do all CPS need to be connected to the internet?
  • Are there a set of basic functions and architectural elements common to all CPS?

You are invited to join us in answering these questions and charting the path to the future.

NEW NSF CPS/SaTC INITIATIVE (SOLICITATION) - 2014

Submitted by Frankie King on

The National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) and Intel Labs recently announced a new partnership to support novel, transformative, multidisciplinary approaches that address the problem of securing current and emerging cyber-physical systems, the infrastructures they form, and those integrated with them. A key goal of this activity is to foster a long-term research community committed to advancing research and education at the confl

BuildSys 2014

Submitted by Murali Balakrishnan on

1st ACM International Conference on Embedded Systems for Energy-Efficient Buildings

co-located with ACM SenSys 2014
 

Webinar: New NSF Solicitation: Resilient Interdependent Infrastructure Processes and Systems

Submitted by Frankie King on

The RIPS information webcast has been re-scheduled for Tuesday January 28th at 11am to discuss the RIPS program and answer questions about the solicitation was postponed due to the recent weather related Fed Gov’t closure. Please click here to view more information concerning this webcast including the webcast slides.

CPS Week 2014

Submitted by Anonymous on

The CPSWeek brings together five leading conferences - HSCC, ICCPS, IPSN, HiCoNS, RTAS - as well as several workshops and tutorials on various aspects on the research and development of cyber-physical systems: Embedded Systems, Hybrid Systems, Real-Time and Sensor Networks.

Building Safe and Secure Communities through Real-Time Edge Video Analytics
Lead PI:
Hamed Tabkhi
Co-Pi:
Srinivas Pulugurtha
Arun Ravindran
Shannon Reid
Douglas Shoemaker
Abstract
The emergence of intelligent technologies is enabling a new era of connection between community residents and the surrounding environments, both in the United States and around the world. With the new wave of growth in urban areas, ensuring public safety is an essential precursor toward "smart" cities and communities. This project proposes a novel "intelligent" policing technology as a transformative solution to efficiently enhance law enforcement, while minimizing unnecessary interactions and maintaining resident privacy. The proposed technology offers a network of smart cameras that do not require continuous monitoring, but instead are trained to generate alerts on the spot in real-time. Since the cameras identify behaviors and not identities, they can reduce biases, minimize false alarms, and protect personal privacy. The intelligent policing technology will be co-designed and co-created with the direct help of community residents, neighborhood leaders, and local business owners, as well as agencies including the City of Charlotte, and local law enforcement agencies in Charlotte-Mecklenburg and Gaston counties. The proposed research makes fundamental advances in multiple areas from computer vision, computer architecture, and real-time edge computing, as well as criminology and community-technology interaction. It paves the path for bringing the recent advances in deep learning and data analytics to enhance the safety and security of communities without jeopardizing the privacy of residents. To this end, this project formulates social-technical advances to efficiently analyze and assist communities and governing agencies in making real-time, smart reactions. The project enables real-time vision processing near the cameras (edge nodes) and cooperative processing over the edge network. At the same time, the proposed research interprets, formalizes, and models public safety and security events to be machine detectable, reducing biases, and enabling broad-based community support and trust. By demonstrating the use of powerful emerging edge computing technologies, the project will highlight the applicability and adaptability of such technologies to tackle many community challenges and broader smart cities and cyber-physical systems (CPS) applications, including smart transportation and pedestrian safety. Additionally, the proposed community-based pilots will serve as exemplars to other communities across the nation.
Hamed Tabkhi
Hamed Tabkhi is the Associate Professor of Computer Engineering. He will present his recent works on Real-World AI to create the next generation of Human-in-the-Loop Cyber-Physical Systems. His recent projects aim to address public safety, workers' safety, and equitable public transit through co-designing and co-creating real-world AI systems with local communities and stakeholders.
Performance Period: 10/01/2018 - 03/31/2025
Institution: The University of North Carolina at Charlotte
Sponsor: National Science Foundation
Award Number: 1831795
The SWADE SmartWater Data Exchange: Creating a Extensible Data Exchange and Analytics Sandbox for Smart Water Infrastructures
Lead PI:
Nalini Venkatasubramanian
Co-Pi:
Ronald Eguchi
Shangping Ren
David Feldman
Sharad Mehrotra
Abstract
The importance of water to civilization is unquestionable; over centuries, this critical community lifeline has become complex with multiple subsystems (drinking water(DW), wastewater(WW), and stormwater(SW)) to import, deliver and haul away water. Today, these infrastructures are designed and operated separately by an array of local governments, water districts, and regulatory agencies - all subjected to stress caused by aging, urbanization, failures, extreme events, and demand/supply variabilities. This proposal brings together an interdisciplinary team of researchers and practitioners in computer science, civil engineering, public policy, and social ecology to create a Smart Water data-exchange framework, SWADE, that will serve as a repository and sandbox for collecting, sharing, exploring, analyzing, and curating information about diverse community water systems. SWADE will utilize recent advances in IoT and big data systems to create a holistic understanding of these interacting platforms - the framework integrates static and dynamic data from infrastructures and communities with domain-specific models/simulators and analytics services to create new levels of efficiency and resilience in co-executing systems. Innovative research will address tradeoffs (e.g. cost, accuracy) in data collection, develop semantic approaches for joint data representation and storage, explore data cleaning and refinement mechanisms, promote community engagement to drive policy-based exchange to address data-sharing barriers and design novel analytics to understand resilience and societal impact of water policies. Innovations to existing infrastructures require public acceptance; to achieve this, the team includes practitioners at water agencies in Southern California (e.g. Orange County, Irvine, Los Angeles) and Illinois who will help create and instantiate the SWADE framework; interactions with agencies in Florida and Maryland will help ensure transferability of SWADE. Through SWADE, communities around the nation can learn and share lessons with each other, experiment with sample data/networks to understand design choices as they plan future investment in water systems. This project can help guide policy research on information interchange in other complex community infrastructures (e.g. water-energy-food nexus, transportation networks) where socioeconomic and geopolitical constraints play a role in determining what can be shared and exchanged. Educational outreach will leverage efforts of the Water UCI Center, and campus programs including RET, REU, K-12, and women in STEM programs at UCI and SDSU. Our programs will focus on promoting broader participation by allowing citizens from diverse backgrounds and perspectives to contribute to the essential research mission of ensuring safe and reliable water services for the future.
Nalini Venkatasubramanian
Performance Period: 10/01/2020 - 09/30/2024
Institution: University of California-Irvine
Sponsor: National Science Foundation
Award Number: 1952247
Smart Air: Informing Driving Behavior Through Dynamic Air-Quality Sensing And Smart Messaging
Lead PI:
Kerry Kelly
Co-Pi:
Ross Whitaker
Gregory Madden
Pierre-Emmanuel Gaillardon
Abstract
High concentrations of energy use from fossil fuels can lead to poor air quality, resulting in adverse health effects as well as economic consequences. A prime example is found where large numbers of idling vehicles congregate (e.g., schools and hospital drop-off/pick-up zones), leading to microclimates of unhealthy air. Workers, such as valet parking attendants, can spend their entire workday in these microenvironments, and children passing through these zones can experience up to 60% higher levels of pollution than adults, because of their height. These vehicle-caused, poor-air-quality microclimates offer a compelling opportunity for communities to engage with emerging technologies to take ownership of their air and the behaviors that impact its quality. This project sociotechnical approach, called SmartAir, will synergistically integrate dynamic air-quality information with social-norm feedback to positively influence decisions that affect the well-being of vulnerable individuals working in or passing through polluted microenvironments. The feedback approach for decreasing idling mirrors the feedback provided by digital speed displays, which has been shown to positively influence driver behavior (reduced speeding) and thus reduce health-impacts of that behavior (reduced traffic accidents). The proposed pilot demonstrations will take place in Northern Utah, a region that periodically experiences the poorest air quality in the country. The project SmartAir employs a comprehensive community engagement approach ? from the development of the sensing and display technologies to cocreation of culturally sensitive messaging, cooperatively conducted pilot studies, and efficacy evaluation. SmartAir will produce novel technological and behavioral-science developments. First, this project will develop wearable, calibrated, low-cost air quality sensing nodes that will support members of smart and connected communities to minimize pollution exposure. Second, this project will enable the rapid integration of sensor measurements with local meteorological information and data-screening algorithms to dynamically provide feedback to individuals about idling behavior and to workers that seek to minimize pollution exposure. Third, the SmartAir system will be integrated into behavior-change experiments and the co-creation of community-crafted messaging to influence individual choices. Comprehensive involvement of the community partners will be critical to co-develop and pilot solutions to address poor air quality and ultimately ensure a highly scalable and sustainable system. The broader impacts of this work are multifold, including the following. SmartAir will serve as a framework for closing the loop between air quality measurements and individual decision making. It will also help drive institutional decisions that reduce worker pollutant exposure and improve worker performance, career longevity, and job satisfaction. Anonymized data will be made available to support numerous personal and community-driven needs, such as health-effects studies, anti-idling campaigns, school drop-off policies, and urban/traffic planning. Additionally, this project will have a substantial outreach effort that involves community members in message crafting, data collection, and interpretation.
Kerry Kelly
Performance Period: 10/01/2020 - 09/30/2025
Institution: University of Utah
Sponsor: National Science Foundation
Award Number: 1952008
Project URL
Project URL
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