Applications of CPS technologies used in the planning, functional design, operation and management of facilities for any mode of transportation in order to provide for the safe, efficient, rapid, comfortable, convenient, economical, and environmentally compatible movement of people and goods.
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Submitted by Anonymous on Thu, 11/17/2016 - 11:33am
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Submitted by Anonymous on Wed, 11/09/2016 - 10:12am
RWTH Aachen University is Germany's top-ranked technical university with more than 40,000 students and is a member of the IDEA league. The Institute for Communication Technologies and Embedded Systems (ICE, http://www.ice.rwth-aachen.de), being part of the RWTH Department of Electrical and Computer Engineering, is headed by Prof. R. Leupers and Prof. G. Ascheid. ICE performs research and development in different areas of embedded system design technology, especially covering algorithms, architectures, and tools for communication systems, automotive, and industrial internet.
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Submitted by Anonymous on Wed, 11/09/2016 - 10:00am
CALL FOR REGULAR, SPECIAL SESSIONS, & WORK IN PROGRESS PAPERS
CALL FOR TUTORIALS & WORKSHOPS
June 7-9, 2017 | Toulouse, France | Web site: http://sies2017.org
Sponsors:
IEEE Council on Electronic Design Automation (requested) and ONERA, Toulouse Center
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Submitted by Anonymous on Wed, 11/09/2016 - 9:59am
12th IEEE International Symposium on Industrial Embedded Systems (SIES 2017)
June 7-9, 2017 | Toulouse, France | Web site: http://sies2017.onera.fr
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Sanjit A. Seshia is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He received an M.S. and Ph.D. in Computer Science from Carnegie Mellon University, and a B. Tech. in Computer Science and Engineering from the Indian Institute of Technology, Bombay. His research interests are in dependable computing and computational logic, with a current focus on applying automated formal methods to problems in cyber-physical systems, computer security, electronic design automation, and synthetic biology. His Ph.D.
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Large scale deployment of connected and automated vehicles is impeded by significant technical and scientific gaps, especially when it comes to achieving real-time and high accuracy situational awareness for cooperating vehicles. This CAREER project aims at closing these gaps through developing fundamental information networking methodologies for coordinated control of automated systems. These methodologies are based on the innovative concept of modeled knowledge propagation. The approach is to utilize the novel concepts of model communication and its derived multi-resolution networking.
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The objective of this proposal is to exploit an early concept of a flexible, low-cost, and drone-carried broadband long-distance communication infrastructure and investigates its capability for immediate smart-city application in emergency response.
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Airborne networking utilizes direct flight-to-to-flight communication for flexible information sharing, safe maneuvering, and coordination of time-critical missions. It is challenging because of the high mobility, stringent safety requirements, and uncertain airspace environment. This project uses a co-design approach that exploits the mutual benefits of networking and decentralized mobility control in an uncertain heterogeneous environment.
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Data-driven intelligence is an essential foundation for physical systems in transportation safety and efficiency, area surveillance and security, as well as environmental sustainability. This project develops new computer system infrastructure and algorithms for self-sustainable data-driven systems in the field.
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This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level.
