Hybrid Conference (In Person / Virtual)

International Conference on Bayesian Networks and Probabilistic Reasoning (ICBNPR - 27)
23rd - 24th March 2027 , Oistins, Barbados
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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 Oistins. 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 Oistins conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Oistins 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 ICBNPR 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 Probability Theory, encouraging participation from emerging researchers and fostering academic growth.

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

01
Bayesian networks in decision making
02
Probabilistic reasoning in AI systems
03
Applications of Bayesian inference
04
Graphical models and their applications
05
Bayesian methods in machine learning
06
Causal inference using Bayesian networks
07
Dynamic Bayesian networks applications
08
Bayesian approaches to data fusion
09
Probabilistic programming languages
10
Bayesian statistics in clinical trials
11
Applications in natural language processing
12
Bayesian methods for big data
13
Hierarchical Bayesian modeling techniques
14
Bayesian optimization in engineering
15
Uncertainty quantification in Bayesian analysis
16
Bayesian methods in environmental science
17
Ethical considerations in Bayesian research
18
Bayesian networks in social networks
19
Applications in financial forecasting
20
Future directions in Bayesian research

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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