Collection

Section - Advanced Embedded Systems

The Journal of Supercomputing announces a new section dedicated to Advanced Embedded Systems, bringing together embedded hardware, novel embedded software solutions, and advancements related to solving critical issues in embedded security, energy efficiency, or emerging applications. We aim to foster collaboration among researchers spanning various domains, facilitating the exchange of original research findings and practical insights relevant to the expansive realm of embedded systems.

Topics of interest include, but are not restricted to:

Embedded Hardware Design:

• Microcontroller and microprocessor architectures

• FPGA design

• High-performance embedded computing

• Power-efficient hardware design

• Hardware security and trustworthiness

Embedded Software Development:

• Real-time operating systems (RTOS)

• Embedded software development tools and methodologies

• Firmware development and debugging

• Middleware and communication protocols for embedded systems

• Embedded software testing and verification

IoT and Wireless Embedded Systems:

• Internet of Things (IoT) applications and technologies

• Wireless sensor networks

• Low-power communication protocols (e.g., LoRa, Zigbee, NB-IoT)

• Edge computing in IoT

• Security and privacy in IoT and wireless embedded systems

Embedded System Security:

• Hardware and software security mechanisms

• Secure boot and firmware update

• Intrusion detection and prevention in embedded systems

• Secure communication and encryption

• Vulnerability assessment and mitigation

Embedded Systems in Autonomous Vehicles:

• Autonomous vehicle control systems

• Perception and sensor fusion for autonomous vehicles

• V2X communication and vehicle-to-vehicle (V2V) communication

• Safety-critical embedded systems in automotive applications

• Regulatory and safety standards in automotive embedded systems

Medical Embedded Systems:

• Medical device design and development

• Wearable health monitoring systems

• Telemedicine and remote patient monitoring

• Regulatory compliance and safety in medical embedded systems

• Healthcare data security and privacy

Energy-efficient Embedded Systems:

• Energy harvesting for embedded systems

• Battery management and energy optimization

• Green computing and sustainability in embedded systems

• Energy-efficient algorithms and hardware design

Embedded Systems for Space and Aerospace:

• Spacecraft onboard computers

• Satellite control systems

• Avionics and flight control systems

• Radiation-hardened electronics

• Space communication protocols

AI and Machine Learning in Embedded Systems:

• Edge AI and inference on embedded devices

• Deep learning accelerators for embedded systems

• Machine learning for embedded vision and audio processing

• AI-driven autonomous systems

• Ethical considerations in AI-enabled embedded systems

Trends and Emerging Technologies:

• Emerging hardware platforms (e.g., neuromorphic computing)

• Quantum computing and its potential impact on embedded systems

Advanced Embedded Systems research relates to multiple United Nations Sustainable Development Goals (SDGs) through advances in health care, education, and energy, among other fields. This Section particularly welcomes submissions related to SDG 9 “Industry, Innovation, And Infrastructure.”

Editors

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