Hybrid Conference (In Person / Virtual)

International Conference on Cloud Computing and Machine Learning (ICCCML - 27)
25th - 26th January 2027 , Brisbane, Australia
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Brisbane. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Brisbane conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Brisbane and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICCCML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Cloud computing architecture and frameworks
02
Machine learning algorithms for cloud environments
03
Big data analytics in cloud computing
04
Security challenges in cloud machine learning
05
Scalable machine learning models on cloud
06
Data privacy in cloud-based ML applications
07
Cloud resource management for ML workloads
08
Edge computing and machine learning integration
09
Real-time data processing in cloud ML
10
Federated learning in cloud environments
11
Cost optimization for cloud ML services
12
Hybrid cloud solutions for machine learning
13
Deployment strategies for ML in cloud
14
Interoperability of cloud services and ML
15
Performance evaluation of cloud ML systems
16
Cloud-based tools for data visualization
17
Machine learning for cloud service optimization
18
Impact of cloud computing on AI research
19
Collaborative machine learning in the cloud
20
Future trends in cloud ML technologies

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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