COVID-19 monitoring data from wastewater.

A Unified Python Interface for Water Resource Data Acquisition

Supplementary files for "Integrated Design and Optimization of Water-Energy Nexus: Combining Wastewater Treatment and Energy System"

A knowledge graph of the wastewater treatment microbiome and its biological context

A Julia Modelingtoolkit.jl Implementation of Anaerobic Digestion Model No.1 (ADM1)

Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) 🔧 🚰 🔄 ♻️ 💦

AI-driven predictive modeling for wastewater treatment optimization. Utilizing the UCI dataset to develop virtual soft-sensors for BOD/COD monitoring and operational sustainability.

Data and code for LaMartina et al., 2021

Training stiff NODE in data-driven wastewater process modelling

A compilation of various hydraulic analyses and mathematical models developed during my undergraduate studies

Official AQUALIS resources for stormwater, wastewater, and pond management; environmental compliance, maintenance, and best practices.

Documentation for the PooPyLab Project

一款污水处理脱氮除磷相关计算软件。基于德国DWA、ATV协会的技术规范

Statistical Optimization of Multi-Factor Adsorption Processes Using Factorial ANOVA: A JASP-Based Methodology Demonstration | Synthetic dataset (n=2,304), Python data generation, JASP analysis workflow | Open Science

Processed 43,000+ records with 42 variables, using lubridate for time series manipulation. Visualized key variables like pH levels and membrane permeate flow, identifying a critical fault event. Developed regression models (linear, stepwise) and used Lasso (cv.glmnet) to improve predictive accuracy for pH levels and fault detection.

A R-Shiny web application to access, visualize and analyze cw research data.

An end-to-end MLOps pipeline that predicts wastewater aeration needs using BSM1 simulation data. Features time-series forecasting, model serving, and data drift monitoring.

Utilising Integrated constructed wetlands to Reduce Antimicrobial resistance and increase Carbon sequestration in the Environment.

Completed a solo research thesis for my Chemical Engineering degree at Parahyangan Catholic University. This project, supervised by two faculty members, serves as the final graduation requirement, showcasing my independent research skills.

Machine learning project predicting energy consumption in East Melbourne WWTP using ensemble and deep learning models, with SHAP-based feature importance analysis.