The 2023 IEEE International Conference on Embedded Software and Systems (ICESS) is held in Ocean Flower Island, Hainan, China, December 17-21, 2023. 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.

Due to the free trade port policy, Hainan is visa-free for people from 59 countries. For details, please refer to the links of notice by the Government and the Moodie Davitt Report.

Please view the Aerial video of Ocean Flower Island (海花岛).

The focus of ICESS 2023 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. The topics 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 Systems
  • 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

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