Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning and Statistical Computing (ICMLSC - 27)
18th - 19th May 2027 , Bristol, UK
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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 Bristol. 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 Bristol conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Bristol 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 ICMLSC 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 Statistics, Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

01
Machine learning techniques in statistics
02
Statistical computing for big data analysis
03
Applications of machine learning in research
04
Statistical methods for model evaluation
05
Machine learning for predictive modeling
06
Data visualization techniques in machine learning
07
Statistical challenges in machine learning
08
Machine learning for time series forecasting
09
Robustness in machine learning models
10
Applications of machine learning in finance
11
Statistical methods for feature selection
12
Machine learning in social sciences research
13
Deep learning and statistical methods
14
Ethics in machine learning applications
15
Machine learning for healthcare analytics
16
Statistical computing for high-dimensional data
17
Future trends in machine learning and statistics
18
Integrating machine learning with statistical theory
19
Statistical methods for ensemble learning
20
Machine learning for causal inference

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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