Important Dates
Early Bird Registration :7th July 2026
Paper Submission Deadline :12th July 2026
Last Date of Registration : 22nd July 2026
Date of Conference : 6th - 7th August 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 10 — Reduced Inequalities
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Track 01
Innovations in Neural Network Architectures
This track focuses on the latest advancements in neural network designs and their applications in data science. Researchers are encouraged to present novel architectures that enhance performance in various predictive tasks.
Track 02
Deep Learning for High-Dimensional Data
Exploring the challenges and solutions associated with applying deep learning techniques to high-dimensional datasets, this track invites contributions that address dimensionality reduction and feature selection. Papers should highlight practical applications and theoretical advancements.
Track 03
Optimization Techniques in Machine Learning
This session aims to delve into optimization methods that improve the efficiency and accuracy of machine learning algorithms. Contributions should focus on novel optimization strategies and their impact on model performance.
Track 04
Predictive Analytics in Big Data Environments
This track examines the role of predictive analytics in extracting insights from large-scale datasets. Researchers are invited to discuss methodologies that enhance predictive accuracy and computational efficiency.
Track 05
Pattern Recognition and Classification Algorithms
Focusing on the development and evaluation of pattern recognition techniques, this session seeks papers that explore innovative classification algorithms. Emphasis will be placed on real-world applications and comparative studies.
Track 06
Simulation Techniques in Data Science
This track highlights the use of simulation methods to model complex data scenarios and evaluate machine learning models. Contributions should demonstrate the effectiveness of simulation in enhancing data-driven decision-making.
Track 07
Artificial Intelligence in Data-Driven Research
Exploring the intersection of artificial intelligence and data science, this session invites papers that showcase AI applications in various research domains. Contributions should highlight innovative uses of AI to solve complex data problems.
Track 08
Algorithms for Real-Time Data Processing
This track focuses on the development of algorithms designed for real-time data analysis and processing. Researchers are encouraged to present solutions that address the challenges of speed and accuracy in dynamic environments.
Track 09
Ethics and Bias in Machine Learning Models
This session addresses the ethical considerations and potential biases inherent in machine learning models. Papers should explore methodologies for mitigating bias and ensuring fairness in data science applications.
Track 10
Applications of Machine Learning in Industry
Focusing on practical applications, this track invites contributions that showcase the implementation of machine learning techniques across various industries. Emphasis will be placed on case studies and lessons learned.
Track 11
Future Trends in Data Science and Machine Learning
This track aims to explore emerging trends and future directions in the fields of data science and machine learning. Researchers are encouraged to speculate on the evolution of technologies and methodologies in the coming years.