Important Dates
Early Bird Registration :17th September 2026
Paper Submission Deadline :22nd September 2026
Last Date of Registration : 2nd October 2026
Date of Conference : 17th - 18th October 2026
Conference Session Tracks
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.
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Advancements in Machine Learning Algorithms
This track focuses on the latest developments in machine learning algorithms that enhance predictive analytics capabilities. Researchers are encouraged to present novel approaches that improve accuracy and efficiency in big data applications.
Track 02
Big Data Processing Techniques
This session will explore innovative techniques for processing large-scale datasets, emphasizing scalability and performance. Contributions should address challenges and solutions in data integration and real-time analytics.
Track 03
Intelligent Systems for Data Analysis
This track highlights the design and implementation of intelligent systems that leverage machine learning for data analysis. Papers should demonstrate how these systems can automate decision-making processes in various domains.
Track 04
Cloud Computing for Big Data Applications
This session examines the role of cloud computing in facilitating big data applications, focusing on infrastructure and service models. Submissions should discuss how cloud technologies can optimize data storage and processing.
Track 05
AI-Driven Predictive Analytics
This track invites research on AI-driven predictive analytics that utilize machine learning techniques to forecast trends and behaviors. Papers should present case studies or frameworks that showcase practical applications in industry.
Track 06
Scalable Computing Solutions
This session addresses the challenges of scalability in computing solutions for big data applications. Contributions should focus on innovative architectures and algorithms that enhance computational efficiency.
Track 07
Data Integration Strategies
This track explores strategies for effective data integration from heterogeneous sources in big data environments. Researchers are encouraged to present methodologies that improve data quality and accessibility.
Track 08
Analytics Frameworks for Intelligent Systems
This session focuses on the development of analytics frameworks that support intelligent systems in processing big data. Papers should detail frameworks that enhance system performance and decision-making capabilities.
Track 09
Optimization Techniques in Machine Learning
This track highlights optimization techniques that improve the performance of machine learning models in big data contexts. Submissions should provide insights into algorithmic enhancements and their practical implications.
Track 10
Automation in Data Processing
This session examines the role of automation in data processing workflows, particularly in the context of big data applications. Contributions should discuss tools and methodologies that streamline data management and analysis.
Track 11
Performance Analysis of Machine Learning Systems
This track invites research focused on the performance analysis of machine learning systems deployed in big data scenarios. Papers should evaluate system efficiency, robustness, and scalability under various conditions.