Hybrid Conferencee

International Conference on Water Resource Engineering and Data Mining (ICWREDM - 26)

23rd - 24th October 2026 | Brasilia, Brazil

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Brasilia. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Brasilia event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Brasilia conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Brasilia, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Brasilia."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICWREDM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Mining, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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