Assistant Lecturer Ahmed Hamid Majeed, a faculty member at the College of Engineering, University of Basrah, has published a joint research paper in the Emerging Science Journal. This is an international scientific journal indexed in Scopus and classified as Q1. The journal holds a CiteScore of 8.1 (based on the latest 2026 data), an SJR of 0.753, an SNIP of 1.240, and an H-index of 43.
The paper was published in Volume 10, Issue 5, on October 1, 2026 (pages 2950–2965),
with the DOI: 10.28991/ESJ-2026-010-05-018.
Self-Adaptive Edge-Intelligent IoT Framework for Real-Time Water Quality Monitoring and Predictive Control
Basrah Governorate faces significant water-quality challenges, including fluctuating salinity levels, temperature variations, turbidity, and changes in water quality associated with environmental and storage conditions. These challenges highlight the need for continuous and intelligent water-quality monitoring systems.
In this context, with the contribution of Sanitary Engineering within Civil Engineering, this study presents a self-adaptive edge-intelligent IoT framework for real-time water-quality monitoring, anomaly detection, and predictive control.
The proposed system integrates sensors for temperature, pH, salinity, and turbidity with an ESP32 microcontroller, enabling local edge-based processing and reducing reliance on cloud computing. The system was experimentally validated in Al-Maqal, Shatt Al-Arab, and Al-Karma in Basrah, Iraq, through comparison with laboratory reference measurements.
The proposed framework achieved 97.0% accuracy, 96.7% recall, and 95.1% F1-score, with low measurement errors across the monitored water-quality parameters. The study demonstrates the potential of integrating Sanitary Engineering, Civil Engineering, IoT, edge computing, and intelligent data analysis to develop practical and low-cost solutions for real-time water-quality monitoring in water-challenged environments
