2026 International Conference on Decision, Management, and Learning Systems (DMLS 2026), which will be held in Kuala Lumpur, Malaysia on April 10-12, 2026.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://www.aischolar.com/conference/dmls2026?invite=wiki

---𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀---
The topics of interest for submission include, but are not limited to:
Track 1: Intelligent Decision Systems
Automated decision-making models
Optimization-based decision support
Multi-objective optimization
Uncertainty modeling and probabilistic decision analysis
Intelligent agents and decision automation

Track 2: Management Science and Operations
Operations management
Supply chain optimization
Project and risk management
Enterprise systems integration
Knowledge management & organizational learning

Track 3: Machine Learning and Data-Driven Systems
Advanced deep learning architectures
Reinforcement learning and decision optimization
Transfer learning and domain adaptation
Hybrid symbolic-neural AI models
Learning analytics and intelligent adaptive systems

Track 4: Human-Machine Collaboration & Decision Support
Explainable and transparent AI (XAI)
Human-AI teaming in decision-making
Trustworthy, robust, and ethical AI applications
Cognitive modeling, user-centered and human-in-the-loop design
Interaction models for collaborative intelligent systems

--- 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀---
Prof. Javid Taheri, Queen's University Belfast, UK
Prof.Giuseppe Di Fatta, Free University of Bozen-Bolzano, Italy

---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of DMLS 2026 will be published in conference proceedings, and submitted to Scopus for indexing.

---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Full Paper Submission Date: February 25, 2026
Registration Deadline: March 10, 2026
Final Paper Submission Date: April 3, 2026
Conference Dates: April 10-12, 2026

--- 𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the abstract or full paper(word+pdf) to Submission System:
https://www.aischolar.com/conference/dmls2026/submission?invite=wiki