Xanthopoulou Georgia (Phd Candidate)

Thesis title: Intelligent data analysis systems for natural phenomena forecasting in marine ecosystems.

Supervisor: Bratsas Charalampos

Advisory Committee Members:

Kehagias Dionysios, Principal Researcher, Centre for Research and Technology Hellas
Mittas Nikolaos, Ass. Professor, Department of Chemistry, IHU

Abstract:

Several human activities such as agricultural and industrial works,
urbanization, poor waste management, climate change, etc., are some of the
reasons that lead to environmental degradation. To be able to deal with such phenomena, early prediction and continuous monitoring are essential factors for the protection of human health and
the environment. The aim of this thesis is the accurate and robust forecasting of the occurrence of these phenomena and the use of methods that will provide accurate results for this complex problem, which is affected by a variety of parameters such as weather changes, human activities, is necessary.In addition, this thesis aims to develop effective management strategies to mitigate the effects of pollution and improve water quality. Continuous advances in technology and data collection methods contribute to improving the accuracy and reliability of water quality prediction models, which remains a complex and challenging task.