On-location / Digital Conference

International Conference on Water Resource Engineering and Data Mining (ICWREDM-27)

21st - 22nd Jan 2027,Barcelona, Spain

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 Barcelona ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Barcelona conference.
  • Peer Review Process:
    The peer review process will begin soon for Barcelona conference.
  • Networking with Global Experts:
    Join global experts at our conference in Barcelona.
  • 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 ICWREDM 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 Water Resource Engineering 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:

  • Data mining for water resource management
  • Predictive analytics in hydrology
  • Machine learning for water quality assessment
  • Data-driven approaches to flood prediction
  • Water conservation techniques using data mining
  • Big data challenges in water engineering
  • Data visualization for water resource planning
  • Real-time monitoring of water systems
  • Data mining for irrigation optimization
  • Sustainability metrics in water engineering
  • Data-driven policies for water management
  • Machine learning for groundwater modeling
  • Data mining for wastewater treatment processes
  • Integration of IoT in water resource management
  • Data analytics for climate impact on water
  • Collaborative water management through data sharing
  • Case studies in water resource analytics
  • Data-driven innovations in water engineering
  • Ethics in water resource data usage
  • Future trends in water engineering analytics

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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