About DMLS 206

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Welcome to DMLS 2026

2026 International Conference on Decision, Management, and Learning Systems (DMLS 2026)


Theme: Intelligent Decisions in the Era of Digital Learning and Management

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

The accelerated pace of technological advancement, particularly in areas such as data-driven decision-making, artificial intelligence, and intelligent learning systems, is profoundly transforming the domains of management and organizational operations. DMLS 2026 aims to provide a premier platform for scholars, professionals, and industry leaders to explore cutting-edge research, novel methodologies, and transformative practices in decision science, management systems, and learning technologies.

Under the theme “Intelligent Decisions in the Era of Digital Learning and Management,” the conference will address both emerging opportunities and critical challenges. We invite participants from around the globe to join insightful discussions, share innovative ideas, and foster collaborations that will lead to creative solutions for complex managerial and educational environments.

DMLS 2026 will feature keynote speeches, oral speeches, discussions, and paper sessions that facilitate the exchange of knowledge, experiences, and practical strategies. We believe your engagement and participation are key to shaping the conversation and advancing the future of decision, management, and learning systems. Join us as we work together to navigate and redefine the possibilities of the digital age.


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CFP

Full Paper Submission Date

February 25, 2026

Registration Deadline

March 1, 2026

Final Paper Submission Date

March 25, 2026

Conference Date

April 10 - 12, 2026

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Call For Papers

  • Track 1: Intelligent Decision Systems

  • Track 2: Management Science and Operations

  • Track 3: Machine Learning and Data-Driven Systems

  • Track 4: Human–Machine Collaboration & Decision Support

  • Track 5: Learning Systems for Engineering Applications


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Publication

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.

Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Supported By

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