Welcome Message

Welcome to The 21st IEEE International Conference on Embedded Software and Systems (ICESS-2025).

The 21st IEEE International Conference on Embedded Software and Systems (ICESS) is held in Exeter, England, UK, June 26-28, 2025 International Conference on Embedded Software and Systems (ICESS) is a global forum for researchers and devel¬opers from academia, industry, and government to present and discuss emerging ideas and trends in embedded software and systems. The conference has a broad scope covering the design, implementation, optimization, and validation of embedded software and systems in various domains. With the rapid development of high-performance embedded chips, the computing power of edge devices has been greatly enhanced, enabling the devices to handle computation-intensive tasks in real time. More and more artificial intelligence (Al) applications are migrating to edge computing platforms for ensuring real-time response.The combination of edge computing and Al has given rise to edge intelligence, which is an emerging technology that integrates the core capabilities of network, computing, storage, and applications. Edge intelligence can provide users with high-quality intelligent services more efficiently by deploying intelligent algorithms on edge devices closer to users. Compared with Al models deployed on the cloud, edge intelligence has the advantages of lower power consumption, shorter latency, higher security, and closer to users. Therefore, edge intelligence has become a hot research topic in academia in recent years. In addition, Huawei, Google, Microsoft, Amazon, Cisco, and other major global enterprises have also launched their layout on this aspect, in order to accelerate the development of precision agriculture, smart healthcare, smart city, industrial Internet of Things, and other fields and related industries.

The focus of ICESS 2025 is to publish new research outcomes that are furthering the level of current research or otherwise contributing to the overall comprehension of edge intelligence related challenges like Al model deployment, task scheduling, resource management, smart design and optimization, collaborative methodologies, and software and systems solutions.

Prospective authors are invited to submit their papers to ICESS-2025. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

Scope and Topics

Topics of interest include, but are not limited to:

Track 1: Edge Intelligence

    Embedded systems and software for edge intelligence
    Real-time systems and software for edge intelligence
    Multimodal sensing fusion system and software for edge intelligence
    Al chip design for edge intelligence
    Lightweight Al model design for edge intelligence
    Task scheduling and resource management for edge intelligence
    Low-power and high-reliability designs for edge intelligence
    Embedded Al model training methods
    Al framework design and optimization for edge devices
    Intelligent sensing, interaction, and decision system design
    Edge-edge, edge-cloud, and end-edge-cloud collaborative methodologies
    Model structure optimization, operator optimization, and hardware feature optimization for robotics, UAVs, autonomous driving, etc.
    Other edge intelligence systems and applications

Track 2: Systems, Models & Algorithms

    Embedded System Architecture
    Embedded Software Architectures
    Embedded OS, Scheduling and Runtime Support
    Embedded Storage and I/O Systems
    Real-Time Embedded Systems
    Distributed and Networked Embedded Systems
    Fault Tolerant and Trusted Embedded Systems
    Power and Thermal Aware Computing
    Mixed-Criticality Embedded Systems
    Heterogeneous SoC and Multicore Embedded System
    Reconfigurable Embedded Computing

Track 3: Design Methodology & Tools

    Design Technologies of Embedded Systems
    Formal Methods for Embedded Systems
    Middleware for Embedded Systems
    IDE and Software Tools
    Hardware/Software Co-Design
    Component-Based Embedded Software Design
    Model-based Design for Embedded Software
    Domain/Application-Specific Design Techniques
    Testing Techniques for Embedded Software/Systems
    Verification and Validation for Embedded Systems
    Compilation and Debug Techniques and Tools
    Performance Evaluation Techniques and Tools
    Safety of Machine Learning for Embedded Systems

Track 4: Emerging Embedded Applications & Interdisciplinary

    Intelligent Embedded Systems
    Machine Learning for Embedded Applications
    Internet-of-Things (loT)
    Wearable Computing
    Smart City
    Intelligent Intersection Traffic Signal Control
    Robotics and Control Systemse
    Wireless Sensor Networks
    Cyber-Physical Systems (CPS)
    Assured Autonomy for Safety-Critical CPS
    Automotive and Avionics Systems
    Medical Systems
    Database & Multimedia Systems
    Network Protocols and Security
    Emergency and Disaster Management
    Consumer Electronics - Mobile Cloud Computing and Approximate Computing
    Industrial Practices and Case Studies