The First International Conference on Computational Intelligence and Applications (CIA-2025) invites researchers, academicians, industry professionals, and students to submit high-quality original research papers for presentation and publication. The theme of the conference is “Computational Intelligence for a Smart and Sustainable Future”. This conference aims to bring together leading minds to discuss and share advancements, challenges, and solutions in the fields of computational intelligence. The manuscript should include unique research ideas, development concepts, analysis, findings, and results. Authors must submit Full-length original research contributions and review articles not exceeding 6 pages in length, written in English, strictly in IEEE format. The manuscript should not have been published in any journals/magazines or conference proceedings and should not be under review in any of them.
We welcome papers on novel theories, methodologies, and applications of CI that address real-world challenges in various domains.
Foundations of Computational Intelligence
- Neural Networks and Deep Learning
- Fuzzy Systems and Soft Computing
- Evolutionary Computation and Swarm Intelligence
- Reinforcement Learning and Adaptive Systems
- Bayesian Networks and Probabilistic Models
Machine Learning and Data Science
- Supervised, Unsupervised, and Self-Supervised Learning
- Transfer Learning and Meta-Learning
- Generative AI and Foundation Models
- Explainable AI (XAI) and Interpretability
- AI for Big Data Analytics
Natural Language Processing and Speech Technologies
- Large Language Models (LLMs) and Transformers
- Speech Recognition and Text-to-Speech (TTS) Systems
- Sentiment Analysis and Opinion Mining
- Multilingual NLP and Cross-Lingual Transfer Learning
- Conversational AI and Chatbots
Computer Vision and Image Processing
- Object Detection and Scene Understanding
- Face Recognition and Biometric Systems
- Medical Image Analysis and Healthcare AI
- 3D Vision and Augmented Reality (AR)
- Video Processing and Action Recognition
AI for Smart and Sustainable Systems
- Computational Intelligence for Smart Cities
- AI in Renewable Energy and Sustainability
- AI for Environmental Monitoring and Climate Change
- Smart Grid and Energy Management Systems
- Sustainable AI and Green Computing
- Robotics and Autonomous Systems
- Ethical AI, Fairness, and Trustworthy Systems
Computational Intelligence in Industry Applications
- AI in Healthcare and Biomedical Informatics
- Financial AI and Algorithmic Trading
- AI for Manufacturing and Supply Chain Optimization
- AI in Cybersecurity and Fraud Detection
- Computational Intelligence for Education and E-Learning
Hybrid and Emerging AI Paradigms
- Quantum AI and Quantum Machine Learning
- Neuromorphic Computing and Brain-Inspired AI
- Cognitive Computing and Human-Machine Collaboration
- AI at the Edge and Tiny Machine Learning (TinyML)
- Bio-Inspired AI and Artificial Life