2026 International Conference on Machine Learning and Embedded Systems (MLES 2026) will be held on April 24-26, 2026 in Suzhou, China. This conference is sponsored by  Zhengzhou University.

The goal of MLES is to promote the research and developmental activities in Machine Learning and Embedded Systems and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held to make it an ideal platform for people to share views and experiences in Machine Learning and Embedded Systems and related areas.

This conference focuses on Machine Learning and Embedded Systems, aiming to provide a platform for experts and scholars, engineers and researchers to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements.

Publication

All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers will be published in the SPIE - The International Society for Optical Engineering (ISSN: 0277-786X) and will be submitted to EI Compendex / Scopus  for indexing.

Topics of interest for submission include, but are not limited to:

* Communication Technology

Communication Big Data
Communication Artificial Intelligence
Mobile Sensor Networks
Wireless Cellular Networks
Wireless Sensor Networks
Internet of Things (IoT)
Mobile Intelligent Devices and Human-Computer Interaction
Network Control Systems
Connected Vehicles

* Computer Vision and Algorithms

Medical Image Processing
Machine Learning Algorithms
Computer Vision
Reinforcement Learning
Generative Adversarial Networks (GANs)
Adversarial Machine Learning
Modeling and Recognition
Human-Computer Interaction

* Embedded Systems Technology

Lightweight Model Optimization
Intelligent Sensor Systems
Intelligent Control Systemsand Embedded Devices
Embedded Processors and System-on-Chip
Embedded Machine Learning (E-ML)
Embedded Sensing Systems
Autonomous Robotic Systems and Control Technologies
Collaborative Robots
Unmanned Aerial Vehicle Control
Intelligent Robots
Smart Cars
Autonomous Vehicles