Hybrid Conferencee

International Conference on Computational Intelligence and Data Engineering (ICCIDE - 26)

30th - 31st December 2026 | Sheffield, UK

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Sheffield conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sheffield, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Sheffield."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Neural Networks

This track focuses on the latest developments in neural network architectures and their applications in various engineering fields. Topics include deep learning, convolutional networks, and recurrent networks, emphasizing their role in solving complex engineering problems.

Track 02

Computational Neuroscience and Cognitive Systems

Exploring the intersection of neuroscience and artificial intelligence, this track delves into computational models of neural systems and their implications for cognitive science. Participants will discuss neurodynamic analysis and the modeling of cognitive processes.

Track 03

Data Mining and Pattern Recognition Techniques

This session will cover innovative data mining methodologies and pattern recognition algorithms that enhance data analysis in engineering applications. Emphasis will be placed on real-world case studies and the integration of these techniques in various domains.

Track 04

Fuzzy Systems and Their Applications

Focusing on the theory and application of fuzzy logic, this track will explore fuzzy systems modeling, decision-making, and optimization. Participants will discuss the role of fuzzy systems in handling uncertainty in engineering and technology.

Track 05

Evolutionary Computation and Optimization

This track examines the principles and applications of evolutionary algorithms in solving complex optimization problems. Topics include genetic algorithms, differential evolution, and swarm intelligence, highlighting their effectiveness in engineering contexts.

Track 06

Hybrid Intelligent Systems

Exploring the integration of various artificial intelligence methodologies, this session focuses on hybrid systems that combine neural networks, fuzzy logic, and evolutionary computation. The aim is to enhance problem-solving capabilities in engineering applications.

Track 07

Robotics and Control Systems

This track addresses the application of artificial intelligence in robotics and control systems, focusing on intelligent algorithms for autonomous decision-making. Discussions will include robotic perception, control strategies, and real-time applications.

Track 08

Neuroinformatics and Bioinformatics

Focusing on the application of computational intelligence in biological systems, this track will explore neuroinformatics and bioinformatics methodologies. Topics include data analysis techniques for biological data and their implications for engineering solutions.

Track 09

Brain-Computer Interfaces and Neural Information Processing

This session will investigate the latest advancements in brain-computer interfaces and their applications in assistive technologies. Emphasis will be placed on neural information processing techniques that facilitate communication between the brain and external devices.

Track 10

Time Series Analysis and Forecasting

This track will cover methodologies for time series analysis and forecasting in engineering applications, focusing on data-driven approaches. Participants will discuss the challenges and solutions in modeling temporal data for predictive analytics.

Track 11

Telecommunications and Signal Processing

This session will explore the role of computational intelligence in telecommunications and signal processing. Topics will include advanced algorithms for signal enhancement, data transmission, and the challenges posed by modern communication systems.