Important Dates
Early Bird Registration :30th June 2026
Paper Submission Deadline :5th July 2026
Last Date of Registration : 15th July 2026
Date of Conference : 30th - 31st July 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 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Innovations in Machine Learning Algorithms
This track focuses on the latest advancements in machine learning algorithms, emphasizing novel approaches and their practical applications. Researchers are encouraged to present their findings on algorithm efficiency, scalability, and real-world impact.
Track 02
Deep Learning Techniques and Applications
This session will explore cutting-edge deep learning techniques and their diverse applications across various domains. Contributions that demonstrate the effectiveness of deep learning in solving complex problems are highly encouraged.
Track 03
AI-Driven Automation Strategies
This track examines the role of artificial intelligence in driving automation across industries. Papers should discuss innovative strategies that leverage AI to enhance operational efficiency and productivity.
Track 04
Computational Models for Intelligent Systems
This session invites contributions on computational models that underpin intelligent systems, focusing on their design, implementation, and evaluation. Researchers are encouraged to share insights into model performance and adaptability.
Track 05
Predictive Analytics in AI Research
This track highlights the use of predictive analytics in artificial intelligence research, showcasing methodologies that enhance decision-making processes. Papers should address the integration of predictive models in various applications.
Track 06
Frameworks for AI Methodologies
This session focuses on the development and evaluation of frameworks that support various AI methodologies. Contributions should highlight how these frameworks facilitate research and application in artificial intelligence.
Track 07
Emerging Technologies in AI
This track explores the intersection of emerging technologies and artificial intelligence, discussing their potential to transform industries. Researchers are invited to present innovative applications and theoretical insights.
Track 08
Intelligent Automation and Its Impact
This session investigates the impact of intelligent automation on business processes and societal structures. Papers should explore case studies and theoretical frameworks that illustrate the benefits and challenges of automation.
Track 09
AI Applications in Engineering
This track focuses on the application of artificial intelligence in engineering disciplines, showcasing innovative solutions to engineering challenges. Contributions should demonstrate the practical implications of AI technologies in engineering contexts.
Track 10
Innovation Strategies in AI Development
This session examines strategies for fostering innovation in AI development, highlighting best practices and case studies. Researchers are encouraged to discuss the role of collaboration and interdisciplinary approaches in driving AI advancements.
Track 11
Ethical Considerations in AI Research
This track addresses the ethical implications of artificial intelligence research and its applications. Papers should explore frameworks for responsible AI development and the societal impacts of AI technologies.