2026
3rd International Conference on Computing, Machine Learning and Data Science
(CMLDS 2026)
Location:
Singapore
Dates:
April 24-26, 2026
Website:
http://www.cmlds.net/
E-mail:
cmlds_conf@163.com
Conference
Format: Online and In-person
2026 3rd International Conference on
Computing, Machine Learning and Data Science (CMLDS 2026), sponsored by Robotics
Society of Singapore, aims to provide a forum for researchers,
practitioners, and professionals from the industry, academia and government to
discourse on research and development, professional practice in Computing,
Machine Learning and Data Science. CMLDS 2026 will include presentations in
form of contributed papers, poster sessions, and state of the art lectures by
invited keynote speakers.
Prospective authors are invited to submit
high-quality original research and technical contributions for presentations
and posters in conference. Accepted papers will be included in the conference
proceedings.
Topics:
Computer
Modeling
Machine
Learning Techniques for Big Data
Parallel
Computing
Machine
Learning Trends
Quantum
Computing
Distributed
and Decentralized Machine Learning Algorithms
High
Performance Computing
Intelligent
Cloud-support Communications
Distributed
and parallel systems
Intelligent
Software Defined Networks
Cognitive
Computing
Big
Data Technologies
Cloud
Computing
Data
Mining and Visualization
(For
more topics: http://www.cmlds.net/topics.html)
Paper
Publication and Indexing:
CMLDS 2026 accepted and presented papers will be published by SPIE,
which will be included in SPIE Digital Library and indexed by Ei Compendex,
Scopus, and CPCI (Web of Science).
Previous
Publication and indexing:
*CMLDS
2025 Conference Proceeding has been published by SPIE, and will be indexed by
Ei and Scopus soon! (more
info.).
*CMLDS
2024 Conference Proceeding has been published by ACM, indexed by Ei and Scopus
successfully! (more
info.).
Paper
Submission (Choose one way to submit your paper):
1.
Submission System: https://cmt3.research.microsoft.com/CMLDS2026/
(Recommend)
2.
Email Submission: cmlds_conf@163.com
You
are also welcome to join us as:
As
Presenter: If you want to share you latest research results by giving
presentation without publishing papers, please submit your abstract (300-400
words)
As
Listener: You are also warmly welcomed to take part in CMLDS 2026 as a listener
even though you have no paper to submit.
As
Reviewer: To ensure the fairness and to guarantee the quality of CMLDS 2026, we
cordially invite experts and scholars join us as a reviewer.
CMLDS
2026 Speakers:
Prof.
LING Tok Wang, National
University of Singapore, Singapore
Prof.
Xiaoli Li (IEEE Fellow, AAIA Fellow), Nanyang Technological University,
Singapore
Prof.
Teh Ying Wah, University
of Malaya, Malaysia
Prof.
Jixin Ma, University
of Greenwich, UK