Chenyang Lu is a Professor of Computer Science and Engineering at Washington University in St. Louis. Professor Lu is Editor-in-Chief of ACM Transactions on Sensor Networks and Associate Editor of Real-Time Systems. He also served as Program Chair of IEEE Real-Time Systems Symposium (RTSS 2012) and ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2012). Professor Lu is the author and co-author of over 100 research papers with over 9000 citations and an h-index of 45. He received the Ph.D. degree from University of Virginia in 2001, the M.S. degree from Chinese Academy of Sciences in 1997, and the B.S. degree from University of Science and Technology of China in 1995, all in computer science. His research interests include real-time systems, wireless sensor networks and cyber-physical systems.
Abstract
Over the past two decades, cities across the country have experienced a tremendous growth in cycling. As cities expand and improve their bicycle networks, local governments and bicycle associations are looking into ways of making cycling in urban areas safer. However, one of the main obstacles in decreasing the number of bicycle crashes is the lack of information regarding cycling safety at the street level. Historically, Bicycle Level of Service (BLOS) models have been used to measure street safety.
Performance Period: 07/15/2016 - 06/30/2018
Institution: University of Maryland College Park
Sponsor: National Science Foundation
Award Number: 1636915
Abstract
Wireless sensor-actuator networks (WSANs) are designed to collect and disseminate information using a physically distributed collection of wireless nodes and multi-hop protocols. WSANs are gaining rapid adoption in industrial automation and manufacturing applications due to their low deployment cost, robustness, and configuration flexibility. While the early success of industrial WSANs has been focused on monitoring applications, there are significant advantages, and also challenges, when WSANs are used in feedback control applications.
Chenyang Lu
Performance Period: 10/01/2016 - 09/30/2019
Institution: Washington University
Sponsor: National Science Foundation
Award Number: 1646579
Abstract
Wireless sensor-actuator networks (WSANs) are designed to collect and disseminate information using a physically distributed collection of wireless nodes and multi-hop protocols. WSANs are gaining rapid adoption in industrial automation and manufacturing applications due to their low deployment cost, robustness, and configuration flexibility. While the early success of industrial WSANs has been focused on monitoring applications, there are significant advantages, and also challenges, when WSANs are used in feedback control applications.
Performance Period: 10/01/2016 - 09/30/2019
Institution: Texas A&M Engineering Experiment Station
Sponsor: National Science Foundation
Award Number: 1646449
Abstract
This NSF CPS EAGER project supports the SmartShuttle and SMOOTH II NIST GCTC technical cluster projects of the City of Columbus and the Ohio State University by developing a unified and scalable solution architecture for low speed automated shuttle deployment in a Smart City. This project will help the development of Columbus as a Smart City, having a broad impact on the mobility choices of its inhabitants.
Performance Period: 09/01/2016 - 08/31/2018
Institution: Ohio State University
Sponsor: National Science Foundation
Award Number: 1640308
Abstract
The project studies techniques for constructing guaranteed-safe control algorithms for maneuvering autonomous vehicles ("self-driving cars") under a variety of environmental conditions. Existing autonomous vehicles are able to navigate highways and surface streets reliably when the driving conditions do not pose significant challenges. However, future vehicles will need to handle pot-holes, snow, high winds, driving rain, darting animals, fog and all the other impediments that make driving in the real world challenging in the first place.
Performance Period: 10/01/2015 - 09/30/2019
Institution: University of Colorado at Boulder
Sponsor: National Science Foundation
Award Number: 1646556
Abstract
Since 2000, surgical robots have been used in over 1.75 million minimally invasive procedures in the U.S. across various surgical specialties, including gynecological, urological, general, cardiothoracic, and head and neck surgery. Robotic surgical procedures promise decreased complication rates and morbidity, due to the minimally invasive nature of the procedures.
Performance Period: 02/15/2016 - 01/31/2019
Institution: University of Illinois at Urbana-Champaign
Sponsor: National Science Foundation
Award Number: 1545069
Abstract
Pedestrian safety continues to be a significant concern in urban communities. Several recent reports indicate that injuries and fatalities in pedestrian-related accidents are steadily rising and that pedestrian distraction is one of the leading causes in such accidents. Existing systems and techniques for improving pedestrian safety, which primarily operate on users' smartphones and mobile devices in a stand-alone fashion, have several design drawbacks and performance and usability concerns that have precluded their successful adoption and usage.
Performance Period: 07/15/2016 - 06/30/2018
Institution: Wichita State University
Sponsor: National Science Foundation
Award Number: 1637290
Abstract
Cyberphysical (CPS) systems are set to become ever faster, driven by technological advances that push them toward speed limits set by fundamental physics. This proposal addresses the need for a theory of the dynamical behavior of CPS systems in the sub-second regime beyond human intervention times. Ultrafast instabilities have already been observed in such systems. The theory will allow for networking at multiple scales, coupling across multiple temporal and spatial scales, imperfect network communications and sensors, as well as adaptive reorganization and reconfiguration of the system.
Performance Period: 02/15/2016 - 01/31/2020
Institution: University of Miami
Sponsor: National Science Foundation
Award Number: 1522693
Abstract
Machining is a fundamental manufacturing capability critical to the production of end-user goods and systems, as well as the tooling and equipment used in virtually every industrial process. Machine tool programming to support these processes is critical for both production and cost estimation.
Performance Period: 08/01/2016 - 07/31/2019
Institution: Georgia Tech Research Corporation
Sponsor: National Science Foundation
Award Number: 1646013
Abstract
The Visualization for Terrestrial and Aquatic Systems project helps environmental scientists produce visualizations for their own research and for presentation to other scientists and stakeholders including decision makers. A critical finding of work to date is the extent to which scientists use visualizations not only to explore data in new ways and present results, but also to work with stakeholders to jointly produce information that can be used during decision-making processes.
Performance Period: 09/01/2016 - 08/31/2018
Institution: Oregon State University
Sponsor: National Science Foundation
Award Number: 1637334