Important Dates
Early Bird Registration :30th September 2026
Paper Submission Deadline :5th October 2026
Last Date of Registration : 15th October 2026
Date of Conference : 30th - 31st 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 4 — Quality Education
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
Track 01
Advancements in Predictive Modeling Techniques
This track focuses on the latest methodologies in predictive modeling, emphasizing both supervised and unsupervised learning approaches. Researchers are invited to present their findings on enhancing model accuracy and interpretability in various applications.
Track 02
Deep Learning Innovations for Data Science
Exploring the cutting-edge developments in deep learning, this track aims to highlight novel architectures and algorithms that improve data processing capabilities. Contributions that demonstrate practical applications in real-world scenarios are particularly encouraged.
Track 03
Anomaly Detection in Big Data Environments
This session will delve into techniques and frameworks for effective anomaly detection within large datasets. Papers addressing challenges and solutions in real-time anomaly identification across different domains are welcome.
Track 04
Feature Extraction and Dimensionality Reduction
Focusing on innovative methods for feature extraction and dimensionality reduction, this track aims to enhance the efficiency of data analysis processes. Contributions that showcase the impact of these techniques on model performance are highly sought after.
Track 05
Parallel Computing and GPU Acceleration in Data Science
This track emphasizes the role of parallel computing and GPU acceleration in enhancing data processing speeds and efficiency. Researchers are invited to share their insights on optimizing algorithms for high-performance computing environments.
Track 06
Distributed Data Processing Frameworks
Exploring the latest frameworks for distributed data processing, this session aims to discuss scalability and performance improvements in data science applications. Contributions that address the integration of these frameworks with existing systems are encouraged.
Track 07
Real-Time Data Analytics and Processing
This track focuses on methodologies and technologies that enable real-time data analytics, crucial for timely decision-making in various industries. Papers that explore the challenges and solutions in achieving real-time processing are welcome.
Track 08
Model Evaluation and Computational Optimization
This session will explore techniques for model evaluation and optimization, emphasizing the importance of robust validation methods. Contributions that propose novel metrics or frameworks for assessing model performance are encouraged.
Track 09
Predictive Maintenance in Industrial Applications
Focusing on the intersection of data science and industrial engineering, this track will explore predictive maintenance strategies powered by advanced analytics. Papers that demonstrate the impact of these strategies on operational efficiency are particularly welcome.
Track 10
IoT Integration for Enhanced Data Science Applications
This track will examine the integration of Internet of Things (IoT) technologies with data science methodologies to drive innovation. Researchers are invited to present case studies and frameworks that leverage IoT data for improved analytics.
Track 11
Scientific Computing and Simulation Analytics
Exploring the role of scientific computing in data science, this track aims to discuss simulation techniques and their applications in various fields. Contributions that highlight the synergy between computational methods and data-driven insights are encouraged.