Water & wastewater treatment
Interest in treatment processes, water-quality analysis and practical environmental engineering applications.
RESEARCH INTERESTS
Environmental engineering, data and computational methods.
Areas of academic interest built from my coursework, project experience and previous engineering work.
Environmental data analysis
Environmental datasets, preprocessing, exploratory analysis and predictive modelling using Python.
Machine learning & soft computing
Experience with Support Vector Regression, Random Forest, Genetic Programming and Artificial Neural Networks for engineering datasets.
ESTABLISHED WORK
Data-driven environmental engineering.
My previous project work explored predictive modelling for coagulant dosage in water treatment, giving me practical experience in engineering datasets and soft-computing methods.
Project
Coagulant dosage prediction
Comparative study of soft-computing techniques for predicting coagulant dosage in a water-treatment context.
Methods
Predictive modelling
Worked with data analysis and models including ANN, Random Forest, SVR and Genetic Programming.
Next
Future work
New research areas and validated results will be added as they become ready to share.