The 2024 IEEE International Conference on Embedded Software and Systems (ICESS) is held in Wuhan, China, Dec. 13-15, 2024 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 2024 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.

Topics of interest include, but are not limited to:

Track 1: Edge Intelligence

Track 2: Systems, Models & Algorithms

Track 3: Design Methodology & Tools

Track 4: Emerging Embedded Applications & Interdisciplinary

Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: (https://edas.info/N32671)