Conference Description:

2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) -EI Compendex& Scopus
Location: Xiamen, China
Dates: April 25-27, 2025
Website: http://www.cmlds.net/
E-mail: [email protected]
Conference Format: Online and Onsite

2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) will be held during April 25-27, 2025 in Xiamen, China. CMLDS 2025 is to bring together leading academic scientists, research scholars and researchers to share and exchange their experiences and research results about all aspects of Computing, Machine Learning and Data Science. It would also provide a premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of Computing, Machine Learning and Data Science.

Topics:
Computer Modeling
Cloud Computing
Grid Computing
Human-centred Computing
Machine learning for 5G system
Machine Learning Trends
Big Data Technologies
Statistical Learning
Data Fusion
Data Mining & Visualization
(For more topics: http://www.cmlds.net/topics.html )

Paper Publication and indexing:
After a rigorous reviewing process, accepted papers after proper registration and presentation will be published in the CMLDS 2025 conference proceedings by SPIE, which will be included in SPIE Digital Library and indexed by EI Compendex, Web of Science, Scopus, Inspec, Chemical Abstracts, The Harvard-Smithsonian/NASA Astrophysics Data System (ADS), and others.
*All papers included in CMLDS 2024 Conference Proceeding have already been published by ACM (ISBN: 979-8-4007-1639-3) and indexed by El and Scopus successfully!

CMLDS 2025 Speakers:
Prof. Henry Leung, Fellow IEEE, University of Calgary, Canada

Prof. Benjamin W. Wah, Fellow IEEE, The Chinese University of Hong Kong, Hong Kong

Prof. Yanan Sun, Sichuan University, China

Prof. Pascal LORENZ, University of Nancy, France

Paper Submission (Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/CMLD S2025/
2. Email Submission: [email protected]

You are also welcome to join us as:
As Presenter: If you want to share you latest research results by giving presentation without publish papers, please submit your abstract (300-400 words)
As Listener: You are also warmly welcomed to take part in CMLDS 2025 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of CMLDS 2025, we cordially invite experts and scholars join us as a reviewer.

Contact us:
Conference Secretary: Ms. Caroline Li
Email: [email protected]
Tel: +852 95096877
Website: http://www.cmlds.net/