ICESS 2026 (International Conference on Embedded Software and Systems) is an academic conference held in Luoyang, China on 2026-10-29. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-09-10.
IEEE ICESS-2026, the International Conference on Embedded Software and Systems, serves as a global forum for researchers and developers 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 across diverse application domains.
With the rapid development of high-performance embedded chips, the computing capabilities of edge devices have been significantly enhanced, enabling them to handle computation-intensive tasks in real time. As a result, an increasing number of artificial intelligence (AI) applications are being deployed on edge computing platforms to ensure low-latency responses and efficient processing. The integration of edge computing and AI has led to the emergence of edge intelligence, an innovative paradigm that combines networking, computing, storage, and application capabilities. By deploying intelligent algorithms closer to end users, edge intelligence enables more efficient and responsive intelligent services. Compared with cloud-based AI models, edge intelligence offers advantages such as lower power consumption, reduced latency, enhanced security, and improved user proximity. Consequently, edge intelligence has become a prominent research topic in recent years. In parallel, leading global enterprises such as Huawei, Google, Microsoft, Amazon, and Cisco are actively investing in this area to accelerate advancements in precision agriculture, smart healthcare, smart cities, industrial Internet of Things, and related industries.
IEEE ICESS-2026 will be held in Luoyang, China, a historic city known for its rich cultural heritage and as one of the ancient capitals of China. The city is home to world-renowned landmarks such as the Longmen Grottoes and the White Horse Temple, offering an inspiring environment that blends tradition with modern innovation.
The focus of ICESS-2026 is to present novel research contributions that advance the state of the art and deepen the understanding of challenges in embedded software and systems, particularly in areas related to edge intelligence, including AI model deployment, task scheduling, resource management, system design and optimization, collaborative methodologies, and integrated software and system solutions.
Prospective authors are invited to submit their papers to ICESS-2026. Accepted papers will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. Authors of selected best papers will be invited to extend their contributions for special issues of prestigious journals planned in conjunction with the conference.
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 systems and software for edge intelligence
AI chip design for edge intelligence
Lightweight AI model design for edge intelligence
Task scheduling and resource management for edge intelligence
Low-power and high-reliability designs for edge intelligence
Embedded AI model training methods
AI 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, operator, and hardware optimization for robotics, UAVs, and autonomous driving
Other edge intelligence systems and applications
Track 2: Systems, Models and Algorithms
Embedded system architectures
Embedded software architectures
Embedded operating systems, 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 systems
Reconfigurable embedded computing
Track 3: Design Methodology and Tools
Design technologies of embedded systems
Formal methods for embedded systems
Middleware for embedded systems
Integrated development environments and software tools
Hardware/software co-design
Component-based embedded software design
Model-based design for embedded software
Domain- and application-specific design techniques
Testing techniques for embedded software and systems
Verification and validation for embedded systems
Compilation and debugging techniques and tools
Performance evaluation techniques and tools
Safety of machine learning for embedded systems
Track 4: Emerging Embedded Applications and Interdisciplinary Topics
Intelligent embedded systems
Machine learning for embedded applications
Internet of Things (IoT)
Wearable computing
Smart city applications
Intelligent traffic signal control systems
Robotics and control systems
Wireless sensor networks
Cyber-physical systems (CPS)
Assured autonomy for safety-critical CPS
Automotive and avionics systems
Medical systems
Database and multimedia systems
Network protocols and security
Emergency and disaster management
Consumer electronics, mobile cloud computing, and approximate computing
Industrial practices and case studies
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