Important Dates
Over recent years, embedded systems have gained an enormous amount of processing power and functionality.
The International Workshop on Rapid System Prototyping (RSP) emphasizes design experience sharing and collaborative approach between hardware and software research communities from industry and academy. It considers prototyping as an iterative design approach for embedded hardware and software systems. The RSP series of workshop aim at bridging the gaps in embedded system design between applications, architectures, tools, and technologies to achieve rapid system prototyping of emerging software and hardware systems.
CALL FOR PAPERS
13th International Conference on Model-Based Software and Systems Engineering
February 26 - 28, 2025 | Porto, Portugal | https://modelsward.scitevents.org
Important Dates
Paper Submission: October 2, 2024
Authors Notification: December 4, 2024
Camera Ready and Registration: December 20, 2024
Important Dates AoE (UTC-12h)
Call For Papers:
International Conference on Artificial Intelligence Revolutions (AIR 2024)
Roanne, France, October 30-31, 2024 | https://confscience.com/air/
All papers accepted in AIR 2024 will be submitted for inclusion into IEEE Xplore, IEEE Computer Society Digital Library, Scopus, EI’s Engineering Information Index, Compendex, ISI Thomson’s Scientific, ISTP/ISI Proceedings, etc.
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.
International Conference on Smart Computing (SMARTCOMP) is the premier conference on smart computing. Smart computing is a multidisciplinary domain based on the synergistic influence of advances in sensor-based technologies, Internet of Things, cyber-physical systems, edge computing, big data analytics, machine learning, cognitive computing, and artificial intelligence.
September 28, 2025 to October 02, 2025 - Lisbon, Portugal
Call for Papers
The proposed decentralized/distributed control and optimization for the critical cyber-physical networked infrastructures (CPNI) will improve the robustness, security and resiliency of the electric distribution grid, which directly impacts the life of citizens and national economy. The proposed control and optimization architectures are flexible, adapt to changing operating scenarios, respond quickly and accurately, provide better scalability and robustness, and safely operate the system even when pushed towards the edges by leveraging massive sensor data, distributed computation, and edge computing. The algorithms and platform will be released open source and royalty-free and the project team will work with industry members and researchers for wider usage of the developed algorithms for other CPNI. Developed artifacts as part of the proposed work will be integrated in existing undergraduate and graduate related courses. Undergraduate students will be engaged in research through supplements and underrepresented and pre-engineering students will be engaged through existing outreach activities at home institutions including Imagine U program and 4-H Teens summer camp programs and the Pacific Northwest Louis Stokes Alliance for Minority Participations. Additionally, project team plans to organize a workshop in the third year to demonstrate the fundamental concepts and applications of the proposed control and optimization architecture to advance CPNI. Developed solutions can be extended for range of applications in multiple CPNIs beyond use cases discussed in the proposed work.
While the proposed control architecture with edge computing offer great potential; coordinating decentralized control and optimization is extremely challenging due to variable network and computational delays, several interleavings of message arrivals, disparate failure modes of components, and cyber security threats leading to several fundamental theoretical problems. Proposed work offers number of novel solutions including (a) adaptive and delay-aware control algorithms, (b) Predictive control and distributed optimization with realistic cyber-physical constraints, (c) threat sharing, data-driven detection and mitigation for cyber security, (d) coordination and management of computing nodes, (e) knowledge learning and sharing. Proposed solutions will be a step towards advancing fundamentals in CPNI and in engineering next generation CPNI. The proposed work also aims to use high fidelity testbed to evaluate developed algorithms and tools for specific CPNI: electric distribution grid.