Design Automation for Embedded Systems - Impact Factor

Design Automation for Embedded Systems - Springer | 2024 Impact Factor:0.9 | Cite Score:2.4 | Q3

Design Automation for Embedded Systems Journal

Impact Factor and Journal Rank of Design Automation for Embedded Systems

About: Design Automation for Embedded Systems Journal serves as a premier forum for researchers, academics, and practitioners to publish original research articles, reviews, and application papers in the field of embedded systems design automation. By integrating theoretical insights and innovative methodologies, the journal aims to advance the understanding and development of automated design techniques for embedded systems, fostering innovation and promoting interdisciplinary collaborations.
Objective:
The primary objective of Design Automation for Embedded Systems Journal is to provide a leading publication venue for research focused on the design, synthesis, and optimization of embedded systems. The journal covers a wide range of topics including hardware-software co-design, system-level design, design methodologies, verification and validation techniques, low-power design, real-time systems, and applications of machine learning in design automation. By addressing theoretical foundations, practical implementations, and emerging trends in these fields, the journal aims to facilitate the development of innovative solutions that enhance the efficiency, reliability, and performance of embedded systems.
Interdisciplinary Approach:
Design Automation for Embedded Systems Journal adopts an interdisciplinary approach, encouraging contributions that integrate insights from computer science, electrical engineering, mechanical engineering, and related disciplines such as applied mathematics and systems engineering. The journal covers diverse interdisciplinary topics such as the development of novel design methodologies, techniques for optimizing power consumption and performance, the use of formal methods for system verification, and the integration of machine learning algorithms in design processes. By promoting collaboration across disciplines, the journal facilitates the dissemination of cutting-edge research that addresses practical challenges and enhances the development of advanced design automation techniques for embedded systems.
Impact:
The impact of Design Automation for Embedded Systems Journal is significant in advancing both theoretical foundations and practical applications in the field of embedded systems design automation. By publishing rigorous research articles and application papers, the journal contributes to the development of new methodologies, algorithms, and technologies that enable more efficient and reliable design processes for embedded systems. The journals publications inform the development of innovative solutions that address real-world challenges in areas such as automotive systems, consumer electronics, medical devices, and industrial automation. The emphasis on high-quality research and practical relevance ensures that the journals contributions support the continuous evolution and adoption of advanced design automation techniques for embedded systems worldwide.
Significance:
Design Automation for Embedded Systems Journal holds significant importance for researchers, educators, practitioners, and decision-makers interested in advancing the field of embedded systems design automation. The journals contributions include advancing theoretical frameworks, exploring new applications of design automation techniques in various domains, and addressing practical challenges in embedded system design and optimization. By providing insights into the latest developments, emerging trends, and best practices in design automation, the journal serves as a valuable resource for fostering innovation and promoting interdisciplinary collaboration globally. It supports the continuous advancement of knowledge and technological innovation in the field of embedded systems design automation, facilitating the development of robust solutions that enhance the efficiency, reliability, and performance of embedded systems.

Journal Home: Journal Homepage

Editor-in-Chief: Reinaldo A. Bergamaschi

Scope: The Design Automation for Embedded Systems journal is a peer-reviewed publication that focuses on the design, modeling, analysis, and implementation of embedded systems. It addresses the challenges and solutions related to the automation of embedded system design processes. Here is an overview:
Embedded System Design:
Research on methodologies and tools for the design of embedded systems, including hardware and software co-design, system-level design, and platform-based design. This covers the entire design process from specification to implementation.
Design Automation:
Techniques and tools that automate various stages of the embedded system design process, such as synthesis, verification, validation, and testing. This includes high-level synthesis, hardware/software partitioning, and design space exploration.
Real-Time Systems:
Design and analysis of real-time embedded systems, focusing on real-time scheduling, timing analysis, real-time operating systems, and predictability. Topics include methods to ensure timing correctness and meet real-time constraints.
Power and Energy Optimization:
Strategies for power and energy optimization in embedded systems, including low-power design techniques, dynamic power management, energy-efficient algorithms, and battery management in portable devices.
Embedded Software:
Development, optimization, and analysis of embedded software, including operating systems, middleware, firmware, device drivers, and application software. This includes software engineering practices tailored for embedded systems.
System-on-Chip (SoC) and Network-on-Chip (NoC):
Design and integration of SoC and NoC architectures, including communication protocols, interconnect design, and on-chip network topologies. This also covers the design of multicore and manycore systems.
Formal Methods and Verification:
Application of formal methods for the specification, verification, and validation of embedded systems. This includes model checking, theorem proving, static analysis, and runtime verification.
Security and Reliability:
Design techniques to enhance the security and reliability of embedded systems, including secure boot, encryption, fault tolerance, and error correction. This also includes methods for detecting and mitigating vulnerabilities and attacks.
Embedded System Architectures:
Architectural innovations in embedded systems, including processor architectures, memory hierarchies, custom accelerators, reconfigurable architectures, and heterogeneous systems.
Application-Specific Embedded Systems:
Design and optimization of embedded systems for specific applications such as automotive, aerospace, medical devices, industrial automation, consumer electronics, and the Internet of Things (IoT).
Embedded System Prototyping:
Methods and tools for the rapid prototyping of embedded systems, including hardware prototyping platforms, virtual prototyping, and hardware emulation.
Simulation and Modeling:
Techniques for the simulation and modeling of embedded systems to evaluate performance, power, and other design metrics. This includes system-level modeling, hardware-in-the-loop simulation, and virtual platforms.