On-location / Digital Conference

International Conference on Embedded Engineering Systems and Data Mining (ICEESDM-27)

21st - 22nd Jan 2027,Athens, Greece

In Association With:

Call for Paper


Important Dates


Early Bird Registration

22nd Dec 2026

Paper Submission Deadline

27th December 2026

Registration Deadline

6th January 2027

Conference Date

21st - 22nd Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Athens ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Athens conference.
  • Peer Review Process:
    The peer review process will begin soon for Athens conference.
  • Networking with Global Experts:
    Join global experts at our conference in Athens.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

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 Embedded Engineering Systems and 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

Assessment

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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