About MLES 2026
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.
We look forward to seeing you!
Important Dates
 | Full Paper Submission Date February 15, 2026 |
 | Registration Deadline March 15, 2026 |
 | Final Paper Submission Date April 1, 2026 |
 | Conference Dates April 24-26, 2026 |
Countdown
Publication
All papers submitted to MLES 2026 will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will bepublished in SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and submitted to EI Compendex, Scopus for indexing.
Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Conference Topics
Machine Learning
Graph-based methods, Medical image processing, Communication Big Data, Machine learning algorithm, Communication Artificial Intelligence, Human-computer interaction, Mobile Sensor Networks, Wireless Cellular networks, Wireless Sensor Networks, Modeling and identification
Interpretability and Analysis of Models in NLP
Lightweight model optimization, Intelligent sensor system , Intelligent control system , Internet of Things ( IoT ) and Embedded Devices, Embedded processors and system-on-chip, Embedded Machine Learning ( E-ML ), Embedded sensing system, Networked control system, Internet of vehicles, Mobile intelligent devices and human-computer interaction, Autonomous robot system and control technology, Collaborative robots, UAV control, Human-computer interaction, Intelligent robot, Smart car, Self-driving cars
· Sponsored By
Contact
Conference Secretary: Hanna He
Tel: +86-16782275466 (Wechat)
E-Mail: icmles@yeah.net
If you have any questions or inquiries, please feel free to contact us.