Water Quality Monitoring Project

Project: “Intelligent Bacteria ForeCast (i-BacteriaForeCast) Water Monitoring System"

Project Lead: Dr. Ahyoung Lee in Computer Science.

 

The Vision of Our Project is to ensure clean and safe water for all people in all communities, as per the water quality criteria set by the State of Georgia Environmental Protection Division and the U.S. Environmental Protection Agency (EPA) for water bodies such as recreational water. Specifically, Our Goal is to enhance the monitoring of bacteria levels to ensure clean and safe water by enabling real-time monitoring and forecasting of bacteria levels for recreational waters, such as swimming, boating, and fishing, in underserved, low-income communities.

The Research Objective is to develop a new intelligent Bacteria ForeCast (i-BacteriaForeCast) monitoring system with an AI-enabled, cloud-connected mobile app that can send water quality data collected by sensors. Our innovative i-BacteriaForeCast system addresses the technical challenges of continuous real-time monitoring and forecasting of bacteria levels by utilizing LoRaWAN wireless communication, a cloud-connected mobile app running AI algorithms, and wireless water quality sensors.

Real-World Experimental Testbeds for water monitoring systems and the i-BacteriaForeCast system comprise our AI-enabled LoRaWAN protocol and implemented water quality sensor nodes for holistic system management.

• Collection of Primary Data in the Marietta campus of KSU, and the Feild Station in the Kennesaw campus of KSU.        

                   

         [KSU Marietta Campus]    

       

[KSU Field Station]

 

Research collaboration with Dr. Hoseon Lee in the Department of Electrical and Computer Engineering.

Research partnership with the City of Chattahoochee Hills, Georgia.

 

Research Activities:

• NSF I-Corps: Translation Potential of Artificial Intelligence-Enabled Bacterial Forecasting System for Water Quality Monitoring, NSF (2025)
• The Posters at the Georgia State Capitol, February 20, 2024, Poster presentation titled "Cloud Mobile Architecture with ML Algorithms for Real-Time Water Quality Monitoring Systems," Students - Mahimna Patel, Samhitha Challagundla Subbarao, Advisor - Dr. Ahyoung Lee.

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• Symposium of Student Scholars KSU, Fall 2023, Oral Presentation titled "Water Quality Monitoring Using ML Algorithms in Cloud-enabled LoRaWAN," Student - Mahimna Patel, Advisors - Dr. Ahyoung Lee, Dr. Hoseon Lee, Dr. Amy Gruss, and Dr. Michael Beach.