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 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:

01
Data mining for water resource management
02
Predictive analytics in hydrology
03
Machine learning for water quality assessment
04
Data-driven approaches to flood prediction
05
Water conservation techniques using data mining
06
Big data challenges in water engineering
07
Data visualization for water resource planning
08
Real-time monitoring of water systems
09
Data mining for irrigation optimization
10
Sustainability metrics in water engineering
11
Data-driven policies for water management
12
Machine learning for groundwater modeling
13
Data mining for wastewater treatment processes
14
Integration of IoT in water resource management
15
Data analytics for climate impact on water
16
Collaborative water management through data sharing
17
Case studies in water resource analytics
18
Data-driven innovations in water engineering
19
Ethics in water resource data usage
20
Future trends in water engineering analytics

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



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