International Conference on Artificial Intelligence and Fuzzy Logic Systems - (ICAIFLS-27)


2nd - 3rd February, 2027 | Saint-Louis, Senegal

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

3rd January, 2027

Paper Submission Deadline

8th January, 2027

Last Date Of Registration

18th January, 2027

Date Of Conference

2nd - 3rd February, 2027

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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 4 SDG 4 — Quality Education
SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
SDG 17 SDG 17 — Partnerships for the Goals
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All Session Tracks

Track 01
Advancements in AI Algorithms

This track focuses on the latest developments in artificial intelligence algorithms, emphasizing their theoretical foundations and practical applications. Researchers are invited to present novel approaches and enhancements that improve algorithmic efficiency and effectiveness.

Track 02
Artificial Intelligence Tools and Applications

This session explores various tools and applications of artificial intelligence across diverse fields. Contributions that demonstrate innovative uses of AI in real-world scenarios are particularly encouraged.

Track 03
Natural Language Processing Innovations

This track highlights cutting-edge research in natural language processing, including advancements in understanding and generating human language. Papers addressing both theoretical and practical aspects of NLP are welcome.

Track 04
Machine Learning and Data Mining Techniques

This session focuses on the intersection of machine learning and data mining, showcasing novel techniques for extracting knowledge from large datasets. Contributions that address challenges in data analysis and interpretation are encouraged.

Track 05
Fuzzy Logic and Soft Computing Applications

This track delves into the applications of fuzzy logic and soft computing methodologies in engineering and technology. Papers that explore the integration of fuzzy systems with other AI techniques are highly sought after.

Track 06
Robotics and Intelligent Systems

This session examines the role of artificial intelligence in robotics, focusing on intelligent system design and implementation. Researchers are invited to share insights into autonomous systems and their applications in various domains.

Track 07
Computer Vision and Pattern Recognition

This track addresses the latest advancements in computer vision and pattern recognition technologies. Contributions that explore novel algorithms and their applications in real-time systems are particularly welcome.

Track 08
Heuristic and AI Planning Strategies

This session focuses on heuristic methods and AI planning strategies that enhance decision-making processes. Papers that present innovative approaches to problem-solving in complex environments are encouraged.

Track 09
Hybrid Intelligent Systems

This track explores the integration of multiple AI paradigms to create hybrid intelligent systems. Contributions that demonstrate the effectiveness of combining different techniques to solve complex problems are invited.

Track 10
Semantic Web Technologies and Applications

This session examines the role of semantic web technologies in enhancing information retrieval and knowledge representation. Researchers are encouraged to present innovative applications that leverage semantic frameworks.

Track 11
Recent Trends in AI and Engineering

This track highlights recent trends and developments in artificial intelligence as applied to engineering disciplines. Papers that discuss emerging technologies and their implications for the future of engineering are welcome.