MLCL 2025 : 6th International Conference on Machine learning and Cloud Computing

6^th International Conference on Machine learning and Cloud Computing (MLCL 2025)

March 22 ~ 23, 2025, Sydney, Australia

Hybrid -- Registered authors can present their work online or face to face.

Scope & Topics

6^thInternational Conference on Machine learning and Cloud Computing (MLCL 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):

Topics of interest include, but are not limited to, the following

• Case Studies and Theories in Cloud Computing
  
• Cloud Application, Infrastructure and Platforms
  
• Cloud Applications in Vertical Industries
  
• Cloud Based, Parallel Processing
  
• Cloud Business
  
• Cloud Computing Architecture
  
• Cloud Storage and File Systems
  
• Consolidation
  
• Data storage and Management in Cloud Computing
  
• Design Tool for Cloud Computing
  
• Energy Management and Programming Environments
  
• Location Based Services, Presence, Availability, and Locality
  
• Machine Learning Applications
  
• Machine Learning in knowledge-intensive systems
  
• Machine Learning Methods and analysis
  
• Machine Learning Problems
  
• Machine Learning Trends
  
• Maintenance and Management of Cloud Computing
  
• Mobile Clouds for New Millennium, Mobile Devices
  
• Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing
  
• NoSQL Data Stores
  
• Performance, SLA Management and Enforcement
  
• Platforms
  
• Resource Provisioning
  
• Security Techniques for the Cloud
  
• Service-Oriented Architecture in Cloud Computing
  
• Social Clouds (Social Networks in the Cloud)
  
• System Integration, Virtual Compute Clusters
  
• The Open Cloud: Cloud Computing and Open Source
  
• Virtualization on Platforms in the Cloud
  

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 01, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 43) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from MLCL 2025, after further revisions, will be published in the special issue of the following journals.

• International Journal on Cloud Computing: Services and Architecture (IJCCSA)
  
• Machine Learning and Applications: An International Journal (MLAIJ)
  
• Advances in Vision Computing: An International Journal (AVC)
  
• Information Technology in Industry (ITII)
  

Important Dates

Co - Located Event

• 11^th International Conference on Artificial Intelligence (ARIN 2025)
  
• 11^th International Conference on Data Mining and Applications (DMAP 2025)
  
• 11^th International Conference on Image and Signal Processing (ISPR 2025)
  
• 11^th International Conference on Networks, Mobile Communication (NMCO 2025)
  
• 8^th International Conference on Natural Language Processing and Trends (NATAP 2025)
  
• 11^th International Conference on Computer Science, Information Technology and Applications (CSITA 2025)
  
• 6^th International Conference on Networks, Blockchain and Internet of Things (NBIoT 2025)
  
• 5^th International Conference of Education (CONEDU 2025)
  
• 4^th International Conference on Emerging Practices in Software Process & Architecture (SOFTPA 2025)
  
  

***** The invited talk proposals can be submitted to [email protected]