Authors are encouraged to submit high-quality, original, and unpublished research in, but not limited to, the following technical tracks:
Track 1: Artificial Intelligence and Intelligent Systems
- Artificial Intelligence Foundations
- Knowledge Representation and Reasoning
- Intelligent Agents and Multi-Agent Systems
- Cognitive Computing
- Expert and Decision Support Systems
- AI Planning and Optimization
Track 2: Machine Learning and Deep Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Deep Neural Networks
- Transfer and Meta Learning
- Federated Learning
- Continual and Lifelong Learning
- Optimization Algorithms for Machine Learning
Track 3: Generative AI and Large Language Models
- Generative Artificial Intelligence
- Foundation Models
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents and Autonomous Workflows
- AI-Assisted Software Development
Track 4: Natural Language Processing
- Text Mining and Information Retrieval
- Machine Translation
- Speech Recognition and Synthesis
- Conversational AI and Chatbots
- Sentiment Analysis
- Question Answering Systems
Track 5: Computer Vision and Image Processing
- Object Detection and Recognition
- Medical Image Analysis
- Video Analytics
- Face Recognition
- Pattern Recognition
- Image Enhancement and Restoration
Track 6: Robotics and Autonomous Systems
- Intelligent Robotics
- Autonomous Vehicles
- Human–Robot Interaction
- Swarm Intelligence
- Industrial Robotics
- Robotic Process Automation (RPA)
Track 7: Data Science and Big Data Analytics
- Data Mining
- Predictive Analytics
- Business Intelligence
- Big Data Platforms
- Data Visualization
- Statistical Learning
Track 8: Internet of Things and Edge Intelligence
- Internet of Things (IoT)
- Edge AI
- Embedded AI Systems
- Smart Sensors
- Cyber-Physical Systems
- Smart Infrastructure
Track 9: Cloud Computing and High-Performance AI
- Cloud-Based AI Applications
- Distributed Machine Learning
- High-Performance Computing
- AI Infrastructure
- Scalable AI Systems
- Green Computing
Track 10: AI for Healthcare and Life Sciences
- Medical Diagnosis and Decision Support
- Precision Medicine
- Bioinformatics
- Drug Discovery
- Digital Health
- Healthcare Analytics
Track 11: AI in Industry and Smart Manufacturing
- Industry 4.0
- Digital Twins
- Predictive Maintenance
- Industrial Automation
- Smart Factories
- Supply Chain Optimization
Track 12: Cybersecurity and Privacy
- AI for Cybersecurity
- Intrusion Detection Systems
- Privacy-Preserving Machine Learning
- Adversarial Machine Learning
- Secure AI Systems
- Blockchain and AI Integration
Track 13: Explainable, Ethical, and Responsible AI
- Explainable AI (XAI)
- Fairness and Bias Mitigation
- Trustworthy AI
- AI Governance
- Responsible AI Deployment
- AI Policy and Regulation
Track 14: Smart Cities and Sustainable Development
- Intelligent Transportation Systems
- Smart Energy
- Environmental Monitoring
- Climate Informatics
- Precision Agriculture
- AI for Sustainable Development Goals (SDGs)
Track 15: Human-Centered AI
- Human–Computer Interaction
- Adaptive User Interfaces
- Affective Computing
- AI in Education
- Assistive Technologies
- Accessibility and Inclusive AI
Track 16: Emerging Trends in Artificial Intelligence
- Quantum Machine Learning
- Neuromorphic Computing
- AI for Scientific Discovery
- AI in Finance (FinTech)
- AI in Legal and Governance Systems
- AI in Creative Industries
- Digital Transformation
- Future Directions in Artificial Intelligence
Special Sessions
AIML 2027 welcomes proposals for Special Sessions that focus on emerging research topics, interdisciplinary themes, and industry-driven innovations. Special Sessions provide an opportunity to explore rapidly evolving areas of Artificial Intelligence and Machine Learning that may not be fully represented within the regular technical tracks.
Researchers, professional societies, research laboratories, and industry experts are invited to organize Special Sessions aligned with the conference themes.
Industry Forum
The Industry Forum will showcase practical AI applications, industrial case studies, technology demonstrations, startup innovations, and collaborative research initiatives. This forum aims to strengthen partnerships between academia and industry while promoting the translation of research into real-world impact.
Doctoral Symposium
The Doctoral Symposium provides Ph.D. scholars with an opportunity to present ongoing research, receive constructive feedback from experienced researchers, and engage with the international research community.
Poster Presentations
Poster Sessions will highlight innovative research, early-stage projects, and applied studies, offering participants an interactive platform for scientific discussion and collaboration.
Note: The above list is indicative rather than exhaustive. Authors are encouraged to submit high-quality research that aligns with the conference theme, even if the specific topic is not explicitly listed.