ICADIS 2027 — International Conference on AI, Data & Intelligent Systems

About ICADIS 2027

Advancing AI, Data Science & Intelligent Systems

The International Conference on AI, Data & Intelligent Systems (ICADIS 2027) is an international forum dedicated to advancing research, innovation, and practical applications in artificial intelligence, data science, and intelligent systems. The conference brings together researchers, academics, industry professionals, and policymakers from around the world to exchange ideas, present high-quality research, and discuss emerging trends that are shaping the future of intelligent technologies.

ICADIS welcomes original contributions spanning fundamental research, applied innovations, and interdisciplinary solutions. The conference provides opportunities for collaboration across academia and industry while addressing real-world challenges in areas such as machine learning, data analytics, computer vision, natural language processing, intelligent systems, robotics, cybersecurity, and responsible AI.

Through keynote presentations, technical sessions, and networking opportunities, ICADIS aims to foster scientific excellence, encourage international collaboration, and promote the development of trustworthy, intelligent technologies that benefit society.

ICADIS will be delivered in-person in Bangkok, Thailand and virtually, providing the opportunity of online presentation for those who cannot travel. Attendees will be able to connect with researchers from across the globe and network in-person or virtually. The registration fee for virtual participation is reduced.

Call for Papers

Conference Topics

The conference aims to gather scholars from all over the world to present advances in the relevant fields, including, but not limited to:

🧠AI Foundations & Machine Learning

Machine Learning Algorithms
Deep Learning and Neural Networks
Reinforcement Learning
Probabilistic and Statistical AI
Explainable Artificial Intelligence (XAI)
AI Ethics and Responsible AI

💬Natural Language Processing & LLMs

Large Language Model Training & Alignment
Text Mining and Sentiment Analysis
Conversational AI and Chatbots
Speech Recognition and Processing
Information Extraction & Knowledge Graphs
Multimodal Language-Vision Models

👁Computer Vision & Perception

Image and Video Analysis
Object Detection and Recognition
Scene Understanding
Medical Image Analysis
Generative Vision (GANs, Diffusion)
Vision-Based Intelligent Systems

📊Data Science & Analytics

Data Mining and Knowledge Discovery
Big Data Analytics and Architectures
Predictive Modeling and Forecasting
Pattern Recognition
Federated and Privacy-Preserving Analytics
Data Quality and Governance

🤖Intelligent & Autonomous Systems

Intelligent Control Systems
Autonomous and Adaptive Systems
Multi-Agent Systems
Swarm Intelligence
Cognitive Computing
Decision Support Systems

🤖Robotics & Autonomous Vehicles

Intelligent Robotics
Autonomous Vehicles and Drones
Human–Robot Interaction
Robot Learning
Evolutionary Computation
Embedded AI and Edge AI

🏥AI in Healthcare & Life Sciences

Clinical Decision Support Systems
Drug Discovery and Molecular Design
Genomics and Bioinformatics
Digital Pathology and Radiology AI
Remote Patient Monitoring
Mental Health and Behavioural AI

🏙AI in Engineering & Applications

AI in Smart Cities and Infrastructure
AI in Energy Systems and Smart Grids
AI in Internet of Things (IoT)
AI for Industrial Automation
AI in Cybersecurity
AI in Education and Learning

View Full Topics List

Submissions

Author Guidelines

Submissions in the form of extended abstracts, short papers, and full manuscripts are welcome.

✓ All submitted papers will be peer-reviewed
✓ Proceedings published with an ISSN and ISBN number
✓ Indexed by Scopus, Google Scholar, and Semantic Scholar
✓ Selected papers may be invited for publication in an associated journal (fees may apply)