On-location / Digital Conference

International Conference on Engineering Applications of Data Mining (ICEADM-27)

19th - 20th Jan 2027,Bhairab Bazar, Bangladesh

In Association With:

Call for Paper


Important Dates


Early Bird Registration

20th Dec 2026

Paper Submission Deadline

25th December 2026

Registration Deadline

4th January 2027

Conference Date

19th - 20th Jan 2027

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  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Bhairab Bazar conference.
  • Peer Review Process:
    The peer review process will begin soon for Bhairab Bazar conference.
  • Networking with Global Experts:
    Join global experts at our conference in Bhairab Bazar.
  • 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 ICEADM 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 Engineering Applications of 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:

  • Applications of data mining in engineering
  • Data mining for process optimization techniques
  • Machine learning in engineering applications
  • Data mining for predictive analytics
  • Data-driven methodologies in engineering
  • Data mining for supply chain optimization
  • Statistical analysis in engineering applications
  • Data mining for project management
  • Integration of AI in engineering data mining
  • Data mining for resource allocation
  • Data mining in manufacturing processes
  • Real-time analytics for engineering applications
  • Data mining for safety improvements
  • Data mining in construction engineering
  • Data mining for product lifecycle management
  • Data mining for customer behavior analysis
  • Collaborative data mining in engineering teams
  • Data mining for performance enhancement
  • Data mining for regulatory compliance
  • Future directions in engineering data mining

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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