Hybrid Conferencee

International Conference on Statistical Learning and Artificial Intelligence Applications (ICSL-AIA - 27)

7th - 8th January 2027 | Perth, Australia
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Conference Brochure
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

Conference Notifications:

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

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Perth. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Perth event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Perth conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Perth, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Perth."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSL-AIA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Statistical learning techniques and applications
02
Artificial intelligence in statistical analysis
03
Machine learning methods for data insights
04
Statistical challenges in AI applications
05
Applications of statistical learning in healthcare
06
Predictive modeling using statistical learning
07
Ethics in statistical learning research
08
Statistical software for AI applications
09
Data visualization in statistical learning
10
Statistical methods for deep learning
11
Meta-analysis of statistical learning studies
12
Future trends in statistical learning
13
Collaborative approaches in AI research
14
Statistical learning in social sciences
15
Statistical power in AI studies
16
Applications of statistical learning in finance
17
Statistical methods for natural language processing
18
Data-driven decision making with AI
19
Statistical learning in environmental studies
20
Applications of AI in educational research