Call For Papers

The 2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2021) serves as good platforms for academics, researchers, and engineers to meet and exchange innovative ideas and information on all aspects of Machine Learning and Intelligent Systems Engineering. We are delighted to invite you to participate in MLISE 2021.

Topics of interests are including but not limited to:

(I) Machine Learning
Deep and Reinforcement learning
Pattern recognition and classification for networks
Machine learning for network slicing optimization
Machine learning for 5G system
Machine learning for user behavior prediction
New innovative machine learning methods
Optimization of machine learning methods
Performance analysis of machine learning algorithms
Experimental evaluations of machine learning
Data mining in heterogeneous networks
Machine learning for multimedia
Machine learning for Internet of Things
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
Data analysis and mining
Pattern recognition
Neural network

(II) Intelligent Systems Engineering 
Intelligent control theory
Intelligent control system
Intelligent information systems
Intelligent data mining
AI and evolutionary algorithms
Distributed AI algorithms and technique
Distributed AI systems and architectures
Neural networks and applications
Multi-mode dynamic perception and natural interactions
Robot navigation, positioning and autonomous control
Robot perception and data fusion
Multi-robot collaborative control
Intelligent information fusion
Intelligent manufacturing
Intelligent systems

Important Dates

Submission Deadline: June 22, 2021 Submission Deadline: June 30, 2021

Registration Deadline: July 9, 2021

Conference Date: July 9-11, 2021

Contact us

  • Official Email: icmlise@163.com
    Conference Secretary Ms. Huang QQ: 2152116918
    Tel: +86-18124944750
    Wechat:

    GSRA-WeChat Official Account:


    Please feel free to contact us by phone during 9 am—5:30 pm in the working day.