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.

NSF CPS Synergy - Integration of Social Behavioral Modeling for Smart Environments to Improve the Energy Efficiency of Smart Cities
Lead PI:
Simone Silvestri
Abstract

Smart energy management is at the core of future smart cities, since energy profoundly impacts the city's livablity, workability and sustainability. Key building blocks for smart energy management are intelligent residential environments, generally termed smart homes. These homes will include a plethora of smart interconnected appliances, realized through the Internet of Things paradigm, which can improve residential energy efficiency by controlling the energy usage. This research aims at designing previously unexamined social behavioral models involved in the human interaction with both smart appliances and smart energy management systems. Based on these models, we make use of graph theory to design formal user models that enable algorithm design and optimization. In addition, we propose machine learning techniques to correlate social behavioral dimensions to quantitative metrics observable by smart devices as well as algorithms that use this correlation to refine the user model. The formal models are used to design social-behavioral aware efficient algorithms for energy optimization for individual smart homes, as well as for communities of multiple homes in a microgrid.

Simone Silvestri

Simone Silvestri is currently an Associate Professor in the Department of Computer Science of the University of Kentucky. Before joining UK, Dr. Silvestri was an Assistant Professor at the Missouri University of Science and Technology. He also worked as a Post-Doctoral Research Associate in the Department of Computer Science and Engineering at Pennsylvania State University. He received his Ph.D. in Computer Science in 2010 from the Department of Computer Science of the Sapienza University of Rome, Italy. Dr. Silvestri's research is funded by several national and international agencies such as NIFA, NATO and the NSF, and he received the NSF CAREER award in 2020. He published more than 80 papers in international journals and conferences including IEEE Transactions on Mobile Computing, IEEE Transactions on Smart Grids, ACM Transactions on Sensor Networks, IEEE INFOCOM, and IEEE ICDCS. He served in the organizing committee of several international conferences including as General Co-Chair of IEEE ICNP, Technical Program Co-Chair of IEEE SECON, IEEE SmartComp, and IEEE DCOSS. He also served in the Technical Program Committee of more than 100 conferences, including IEEE INFOCOM, IEEE ICNP, IEEE SECON and IEEE GLOBECOM.

Institution: University of Kentucky
Sponsor: National Institute of Food and Agriculture
Award Number: NIFA - 2017-67008-26145
CPS: Medium: Field-specific weather-driven automated frost mitigation of specialty crops
Lead PI:
Lav Khot
Abstract
Frost events present a significant threat to perennial crop producers due both to potential bud damage and mitigation costs. Growers struggle to optimize the utilization of three primary active mitigation methods--heaters, wind machines, and over- and under-tree sprinkler irrigation--due to a reliance on regional weather forecasts, rules-of-thumb, and heuristic decision-making. Our overall project objective is to develop an intelligent frost mitigation control actuation system, based on micrometeorological monitoring and site-specific, mitigation-informed weather and bud temperature forecasts, that reduces both crop damage and mitigation costs. Washington State is the top producer of sweet cherries and blueberries--both vulnerable to frost damage and the focus of this project.Toward the overall project objective, we will pursue three specific aims: Aim #1. Integrate surface?and?aerial?meteorological?observations into?field-specific,?short-term?forecasts?of weather variables relevant to frost mitigation. Aim #2. Develop localized weather data-driven intelligent crop loss management system through real-time actuation of either-or combinations of active frost mitigation techniques, i.e. wind machines (frost fans), over-tree and under-tress fixed spray systems. Aim #3. Assess grower?evaluation/validation of decision aid tools and prototype performance.
Lav Khot
Performance Period: 02/15/2021 - 02/14/2025
Institution: Washington State University
Sponsor: USDA
CPS: Medium: Dig, Sip, Breathe: Automated Monitoring of Carbon and Water Cycles in Agriculture
Lead PI:
Justin Bradley
Abstract
Timely foreknowledge of soil water content (SWC) and soil organic content (SOC) has the potential to strongly impact watering and sequestration decisions, throughout the growing season. But currently, monitoring, reporting, and verification (MRV) of these is costly and time-consuming. Barriers include high equipment costs, infrastructure installation, and sensing capabilities. Our recent technological breakthrough in aerial robotics, the capability to dig into soil, coupled with advances in sensing technologies gives us the ability to build unmanned aircraft systems (UAS) to largely automate this process. We address the issue of SOC/SWC monitoring, reporting, and verification by building a multi-agent UAS team and accompanying controllers, task planners, and machine-learning classifiers capable of persistent atmospheric monitoring via tethered UAS, and heterogeneous sampling UAS for insertion of key sensor probes, and extraction of soil samples for automated collection. Together the UAS and algorithms provide a mechanism to collect automated, accurate, and high temporal and spatial resolution (e.g., much higher than satellites) SWC and SOC data which we then make available to the public. The data can be easily used to help make timely agricultural, sequestration, and water management decisions by stakeholders.
Justin Bradley
Performance Period: 01/01/2023 - 12/31/2025
Institution: University of Nebraska-Lincoln
Sponsor: USDA
Award Number: 2217327
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