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Hybrid Event

7th - 8th July 2026 | Las vegas, USA

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

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 2 — Zero Hunger
SDG 6 — Clean Water and Sanitation
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 14 — Life Below Water
SDG 15 — Life on Land
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore All Session Tracks
Track 01
Innovations in Water Resource Engineering

This track focuses on the latest advancements in water resource engineering, emphasizing innovative techniques and technologies. Participants will explore case studies that highlight successful implementations in various hydrological contexts.

Track 02
Data Mining Techniques in Hydrology

This session will delve into the application of data mining techniques specifically tailored for hydrological data analysis. Attendees will discuss methodologies for extracting meaningful insights from complex hydrological datasets.

Track 03
Reservoir Modeling and Management

This track addresses the challenges and solutions in reservoir modeling and management using data-driven approaches. Participants will examine predictive modeling techniques that enhance reservoir operation and sustainability.

Track 04
Groundwater Monitoring and Data Analytics

This session focuses on innovative data analytics methods for groundwater monitoring and management. Researchers will present findings on the integration of sensor data and predictive analytics to optimize groundwater resources.

Track 05
Flood Risk Assessment and Mitigation

This track explores advanced methodologies for flood risk assessment and mitigation strategies. Participants will discuss the role of data mining in predicting flood events and enhancing community resilience.

Track 06
Irrigation Optimization through Data Analytics

This session highlights the use of data analytics for optimizing irrigation practices in agriculture. Researchers will share insights on how data-driven decision-making can improve water use efficiency and crop yields.

Track 07
Environmental Data Analytics in Water Resource Management

This track examines the role of environmental data analytics in effective water resource management. Participants will discuss the integration of various data sources to inform policy and decision-making.

Track 08
Predictive Modeling in Water Resource Systems

This session focuses on the development and application of predictive modeling techniques in water resource systems. Attendees will explore case studies that demonstrate the effectiveness of these models in real-world scenarios.

Track 09
Sensor Data Analysis for Water Quality Monitoring

This track investigates the use of sensor data analysis in monitoring water quality parameters. Researchers will present innovative approaches to real-time data collection and analysis for ensuring safe water resources.

Track 10
Big Data Applications in Hydrology

This session explores the impact of big data technologies on hydrological research and practice. Participants will discuss the challenges and opportunities presented by large-scale hydrological datasets.

Track 11
Collaborative Approaches to Water Resource Challenges

This track emphasizes the importance of collaboration among stakeholders in addressing water resource challenges. Participants will share experiences and strategies for fostering partnerships that leverage data-driven solutions.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.