Doctoral Meeting: 'Smart Modeling for Water Quality Prediction for Resource Management Systems'

We consider the problem of water quality prediction for resource management systems in Egypt. In 2015, the United Nations released a 2030 Agenda for Sustainable Development, announcing an urgent call for all countries of the world to cooperate to provide peace and prosperity for the human race and the planet. Seventeen interlinked Sustainable Development Goals (SDGs) were proposed. Amongst these SDGs, goal number six aims for clean water and sanitation, which in turn affects other goals such as goal 3 – good health and well-being, and goal 9 – industry, innovation, and infrastructure. The United Nations has listed water quality improvement as a top priority. We explore the motivation behind such a study on Egyptian water resources and recent related works on the field. According to a 2020 study, Egypt is not one of the countries that make essential use of WQI measurements. Conservation of Egypt’s groundwater quality has become one of the country’s priorities. Recent research in water quality prediction can be divided into three different categories: (1) using traditional statistical methods, (2) using machine learning (ML) methods, and (3) hybrid, complex deep learning methods. We review the related works of researchers from other countries.

The talk is aimed at a general public with basic knowledge of computer science and artificial intelligence.

About the speaker:

Marwah Ahmad Helaly is an Assistant Lecturer from the Department of Computer Science at Ain Shams University, Cairo, Egypt, and is currently a PhD student at her faculty. She received her Master’s degree in computer science from her faculty in DNA Sequence Classification using Deep Learning Methods. Her research interests are machine learning, deep learning, and looking for solutions for environmental issues. She published one book chapter (Springer) and two research papers (Springer and Elsevier). She is also a Sector Coordinator at the International Relations and Academic Collaboration Office at Ain Shams University, assisting in the international affairs of her university with other universities as well as providing support to international students.