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Call For Papers

The ICEESDM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Mining, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Embedded systems design methodologies
  • Data mining techniques in engineering
  • Real-time data processing frameworks
  • IoT applications in embedded systems
  • Machine learning for data analysis
  • Sensor networks and data integration
  • Security challenges in embedded systems
  • Energy-efficient data mining algorithms
  • Embedded system architectures and applications
  • Data visualization in engineering contexts
  • Cloud computing for embedded systems
  • Big data analytics in engineering
  • Software development for embedded applications
  • Data mining for predictive maintenance
  • Embedded system testing and validation
  • Interoperability in embedded systems
  • Data privacy in engineering applications
  • Real-time analytics for embedded systems
  • Edge computing in data mining
  • Case studies in embedded engineering

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.