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MLKD 2027

The 2027 International Conference on Machine Learning and Knowledge Discovery

Unimus Campus Gate
Unimus Campus Gate
Rectorate Building
Rectorate Building
Multipurpose Hall
Multipurpose Hall
Sport Center
Sport Center
KH. Sahlan Rosjidi Islamic Boarding School for Men
KH. Sahlan Rosjidi Islamic Boarding School for Men
Shared Lecture Building II
Shared Lecture Building II
Shared Lecture Building III
Shared Lecture Building III
Unimus Hospital
Unimus Hospital

Photos: Universitas Muhammadiyah Semarang

Welcome to MLKD 2027

Transforming Data into Knowledge: Advancing Machine Learning Technologies for Smart and Sustainable Societies

Semarang - Indonesia | 28-29 July 2027


News :

  • Website launched [30 July 2026]
  • Special issue journal proposals submitted [1 August 2026]
  • Approved special sessions [1 August 2026]
  • Proceedings proposal submitted to Springer Nature [6 August 2026]


The 2027 International Conference on Machine Learning and Knowledge Discovery (MLKD) is an international forum that brings together researchers, academicians, industry practitioners, and policymakers to exchange the latest advances in machine learning, artificial intelligence, data mining, knowledge discovery, and intelligent computing. The conference aims to foster collaboration between academia and industry by providing a platform for presenting original research, innovative methodologies, practical applications, and emerging trends that address real-world challenges across diverse domains.

MLKD focuses high-quality research contributions, case studies, industrial applications, and interdisciplinary works that advance the theory and practice of machine learning and knowledge discovery. The conference encourages discussions on novel algorithms, scalable intelligent systems, explainable AI, ethical AI, and data-driven decision-making to support sustainable digital transformation.

The conference also provides opportunities for networking, establishing research collaborations, and promoting knowledge transfer among participants from universities, research institutions, government agencies, and industry worldwide.

The conference particularly welcomes interdisciplinary research that combines machine learning, knowledge discovery, artificial intelligence, data science, and intelligent systems to solve complex scientific, engineering, business, healthcare, and societal challenges.

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