About MIWAI
Artificial Intelligence (AI) research has broad applications in real-world problems. Examples include control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. The ever-evolving needs in society and business both on a local and on a global scale demand better technologies for solving more and more complex problems. Such needs can be found in all industrial sectors and in any part of the world.
The International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI), formerly called The Multi-disciplinary International Workshop on Artificial Intelligence, is a well-established scientific venue in the field of artificial Intelligence. MIWAI was established more than 17 years ago. This conference aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine-tune their activities in order to help each other better. The main purposes of the MIWAI series of conferences are:
- To provide a meeting place for AI researchers and practitioners.
- To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers.
- To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee.
Call for Papers
Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to:
Scope and Topics
- Machine Learning & Deep Learning
- Neural networks and representation learning
- Reinforcement learning and decision-making
- Explainable AI and trustworthy ML
- Natural Language Processing & Speech Recognition
- Large language models and generative AI
- Multimodal AI and human-AI interaction
- Sentiment analysis and discourse modeling
- Computer Vision & Image Processing
- Object detection and scene understanding
- Medical imaging and biometrics
- AI-driven creative applications (e.g., art, design, and multimedia)
- Robotics & Autonomous Systems
- AI for robotics and intelligent automation
- Multi-agent systems and swarm intelligence
- Human-robot interaction
- AI for Society, Ethics & Applications
- AI for healthcare, finance, and smart cities
- Ethical AI, bias mitigation, and fairness
- AI-driven education and learning analytics
- AI Theory & Algorithms
- Computational intelligence and optimization
- Knowledge representation and reasoning
- Probabilistic modeling and uncertainty in AI
- Agentic AI
- Defining agency in AI
- Reinforcement learning in agentic AI systems
- Multi-agent coordination and negotiation strategies
- Handling uncertainty and risk in agentic AI decision-making
- Large Language Model
- Interpretability and Explainability
- Alignment and Safety
- Multilingual & Cross-Lingual Learning
- Agentic AI with LLM
Submission Guidelines
Submission link: https://www.easychair.org/conferences/?conf=miwai2026
Both research and application papers are solicited. All submitted papers will be carefully peer-reviewed on the basis of technical quality, relevance, significance, and clarity.
Each paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited. Springer-Verlag author instructions are available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
MIWAI Committee
Steering Committee
- Arun Agarwal, Zen Technologies Ltd, India
- Richard Booth, Cardiff University, UK
- Patrick Doherty, Linköping University, Sweden
- Rina Dechter, University of California, Irvine, USA
- Leon Van Der Torre, University of Luxembourg, Luxembourg
- Peter Haddawy, Mahidol University, Thailand
- Jérôme Lang, Université Paris-Dauphine, France
- Atul Negi, University of Hyderabad, India
- Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
- Paul Weng, Duke Kunshan University, China
- Quan Thanh Tho, Ho Chi Minh City University of Technology (HCMUT), Vietnam
Conveners
- Chattrakul Sombattheera, Mahasarakham University, Thailand
- Raghava Morusupalli, CVR College of Engineering, India
General Co-chairs
- TBA
Program Co-Chairs
- TBA
Program Committee
- TBA
Publicity Co-chairs
- Daphne Teck Ching Lai, Universiti Brunei Darussalam, Brunei
- Panich Sudkhot, Zyntelligent Co., Ltd., Thailand
Local Organizing Co-chairs
- TBA
Tutorials
- TBA
Industry Panels
- TBA
Web Administration
- Panich Sudkhot, Zyntelligent Co., Ltd., Thailand
Important Dates
All submission deadlines are in the UTC-12 timezone.
| Event | Date |
|---|---|
| Submission Deadline | June 26, 2026 |
| Notification Deadline | August 7, 2026 |
| Camera Ready Deadline | August 21, 2026 |
| Registration Deadline | September 4, 2026 |
| Conference Dates | October 10-12, 2026 |
Organized By
Official Partners
Host
Pawan Lingras
|> Email: pawan.lingras@smu.ca