Hybrid Conferencee

International Conference on Statistical Learning and Artificial Intelligence Applications (ICSL-AIA - 26)

12th - 13th August 2026 | Jakarta Raya, Indonesia

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Jakarta Raya. 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 Jakarta Raya 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 Jakarta Raya conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Jakarta Raya, 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 Jakarta Raya."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Statistical Learning Techniques

This track focuses on the latest methodologies and innovations in statistical learning. Participants are encouraged to present their findings on new algorithms and frameworks that enhance predictive accuracy.

Track 02

Applications of Machine Learning in Real-World Scenarios

This session explores the practical applications of machine learning across various industries. Researchers are invited to share case studies that demonstrate the impact of machine learning on decision-making processes.

Track 03

Neural Networks: Theory and Applications

This track delves into the theoretical foundations and practical applications of neural networks. Contributions that highlight novel architectures or improvements in training techniques are particularly welcome.

Track 04

Predictive Analytics in Business and Finance

This session addresses the role of predictive analytics in enhancing business strategies and financial forecasting. Participants will discuss models that successfully predict market trends and consumer behavior.

Track 05

Computational Statistics: Methods and Innovations

This track emphasizes the development and application of computational methods in statistical analysis. Researchers are invited to present innovative techniques that improve computational efficiency and accuracy.

Track 06

Data Mining Techniques for Knowledge Discovery

This session focuses on data mining methodologies that facilitate knowledge discovery from large datasets. Presentations should highlight novel approaches that uncover hidden patterns and insights.

Track 07

Statistical Modeling: Challenges and Solutions

This track addresses the challenges faced in statistical modeling and offers solutions to overcome them. Contributions that propose new modeling techniques or refine existing ones are encouraged.

Track 08

Probabilistic Methods in Statistical Inference

This session explores the application of probabilistic methods in statistical inference. Researchers are invited to discuss advancements that enhance the robustness and reliability of inferential statistics.

Track 09

Applied Statistics in Health and Social Sciences

This track highlights the application of statistical methods in health and social science research. Contributions that demonstrate the impact of statistical analysis on public health and social issues are particularly welcome.

Track 10

Ethics and Accountability in AI Applications

This session addresses the ethical considerations and accountability in the deployment of artificial intelligence applications. Participants are encouraged to explore frameworks that ensure responsible AI usage.

Track 11

Future Directions in Statistical Learning and AI

This track invites discussions on the future trends and directions in statistical learning and artificial intelligence. Researchers are encouraged to propose innovative ideas that could shape the next generation of statistical methodologies.