Welcome to MLMAD 2026

2026 International Conference on Machine Learning, Mechanical Engineering, and Automatic Detection

Scopes
(The following topics include but are not limited to)
Track 1: Machine Learning
Deep Learning, Reinforcement Learning Neural Network
Unsupervised learning and representation learning
Intelligent decision-making, feature selection
Data mining and knowledge discovery
Information retrieval
Generative models and simulation environment construction
Embodied intelligence and world model
Multi-agent collaboration and distributed learning
Edge intelligence and computing power collaboration
Large-scale simulation and digital twin
Interpretable AI and machine learning
Track 2: Mechanical Engineering
Advanced manufacturing technology
Mechanical structure design
Intelligent manufacturing system
Micro-nano mechanical technology
Robot dynamics
Mechanical transmission control
New material application
Digital twin technology
Precision processing technology
Mechanical vibration analysis, mechanical fault diagnosis, mechanical system integration Mechatronics
Mechanical Automation
Additive Manufacturing Technology
Intelligent Robot Design
Industrial 4.0 Applications
Track 3: Automatic Inspection
Technical Foundation of Integrated System Development
Automatic Testing Theory
Testing Measurement Technology and Instruments
Complex System Modeling and Simulation
MATLAB System Analysis Language and Applications
Theory and Application of Multi-sensor Fusion
Optimal Estimation and System Identification Artificial Neural Network
Online detection and non-destructive testing technology
Fuzzy theory and its applications
Optoelectronic detection and computer vision detection technology
Genetic algorithms and evolutionary algorithms
Control networks and field buses
Micro-nano detection
Intelligent instruments
Remote sensing and telemetry technology
Modeling and simulation ……
Important Dates | 重要日期
  • Submission Deadline: 2026.7.10
  • Registration Deadline: 2026.7.17
  • Conference Date: 2026.7.25
  • Notification Date: About a week after the submission
Submission Portal | 投稿方式

Mail Address:  icmtas_con@163.com

If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:

蒋老师
  • +86-15680824672(微信同号)
  • 3761629232
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Indexing Service | 索引服务