On-location / Digital Conference

International Conference on Electrical Engineering and Data Mining Integration (ICEEDMI-26)

12th - 13th Oct 2026,Athens, Greece

In Association With:

Call for Paper


Important Dates


Early Bird Registration

12th Sep 2026

Paper Submission Deadline

17th September 2026

Registration Deadline

27th September 2026

Conference Date

12th - 13th Oct 2026

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 ICEEDMI 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 Electrical Engineering and Data Mining Integration, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data mining integration in electrical engineering
  • Machine learning applications in electrical systems
  • Data mining for predictive maintenance in electrical engineering
  • Data mining for energy management
  • Data mining for fault detection in electrical systems
  • Data mining for performance optimization in electrical engineering
  • Data mining for safety improvements in electrical systems
  • Data mining for resource management in electrical projects
  • Data mining for quality assurance in electrical engineering
  • Data mining for customer behavior analysis in electrical systems
  • Data mining for regulatory compliance in electrical engineering
  • Data mining for innovation in electrical design
  • Data mining for operational efficiency in electrical systems
  • Data mining for real-time monitoring of electrical systems
  • Future trends in electrical engineering data mining
  • Data mining for risk assessment in electrical projects
  • Data mining for performance monitoring in electrical systems
  • Data mining for cost reduction in electrical engineering
  • Case studies of data mining in electrical engineering
  • Data mining for environmental sustainability in electrical systems

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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