I am passionate to develop and apply new scientific knowledge, tools and models, and water treatment technologies while addressing practical challenges related to water quality and environment. My research, teaching, and consultancy interests are mainly related to water quality such as wastewater treatment using nature-based solutions, development of tools and models for supporting decision-making processes, water quality modelling, water quality monitoring and assessment, water and environmental planning and management, and sustainable development. I am working as a Postdoctoral Assistant at the Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University Campus Kortrijk, Belgium since 2022. My Postdoc research is on the development of novel models of constructed wetlands (CWs) (nature-based solutions) for simulation of emerging organic contaminants (EOCs) using process-based and data-driven modelling approaches. I have developed a novel process-based model named BIO_PORE_EOC for simulation of EOCs using COMSOL MultiphysicsTM software. I have completed PhD in Earth and Environmental Sciences from Université de Paris, Institut de Physique du Globe de Paris, Paris, France in 2021. My PhD research was on "Emerging Organic Contaminants Removal by Constructed Wetlands: Comprehensive Meta-analysis and Development of Decision Support Tools." I have completed MSc in Environmental Science with distinction (specialization in Water Quality Management) from UNESCO-IHE Delft, the Netherlands in 2013. I also holds an MSc degree in Chemistry (specialization in Organic Chemistry). I have about seventeen years of professional experience, with four years of teaching experience (chemistry, water quality monitoring and assessment, and Treatment Wetlands: nature-based solutions for wastewater treatment and recycling), and thirteen years of research experience in the field of wastewater treatment and CWs modelling . I have published several research and peer-reviewed journal articles based on the experimental work and comprehensive and critical reviews of published research. During PhD, I have developed four novel decision support tools: (1) REOCW-PCP for the potential application of predictive models formulated based on physicochemical properties of EOCs; (2) REOCW-DOP for the potential application of predictive models formulated based on design and operational parameters of CWs; (3) Decision tree framework, a tool to improve the knowledge and applications for the removal of EOCs by different types of CWs; and (4) DTFT-CW to generate data and information for the application of the proposed decision tree framework.