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Project 1: Intelligent Water Management Tools
Project 1: Intelligent Water Management Tools
Years: 2020 - 2022
Overview
Overview
Developed two intelligent software platforms for mine water management: an NFC-enabled sample tracking system (eMetsi) and a no-code machine learning platform (ML-GUI) for water quality prediction. The project integrated IoT, mobile applications, cloud databases, and artificial intelligence.
Key Technologies
Key Technologies
Python • PyQt • Android • Java • NFC • MySQL • HTML • CSS • JavaScript • Machine Learning
Highlights
Highlights
Developed NFC-enabled smart water sampling system.
Built Android and web applications.
Created machine learning software for non-programmers.
Published the work in a peer-reviewed study:
More KS, Wolkersdorfer C (2023) Intelligent Mine Water Management Tools—eMetsi and Machine Learning GUI. Mine Water Environ 42(1):111-120. https://doi.org/10.1007/s10230-023-00917-7
Skills Demonstrated: IoT | AI/ML | Mobile Development | Database Design | Full-Stack Development
Project 2: AI-Based Mine Water Quality Prediction & Forecasting System
Project 2: AI-Based Mine Water Quality Prediction & Forecasting System
Years: 2019 - 2023
Overview
Overview
Developed a hybrid artificial intelligence system to predict and forecast mine water quality parameters for water treatment operations. The platform used machine learning and time-series forecasting techniques to predict future electrical conductivity (EC) and pH values, enabling proactive planning of treatment chemicals, energy requirements, and operational resources.
Key Technologies
Key Technologies
Python • Machine Learning • Random Forest • Gradient Boosting • Artificial Neural Networks • LSTM • Data Analytics • Web Applications
Highlights
Highlights
Developed and compared Random Forest, Gradient Boosting, and Neural Network models.
Built predictive models using over 1,300 historical mine water observations.
Implemented LSTM forecasting to predict future water quality conditions up to 60 days ahead.
Deployed the best-performing machine learning models as a web-based decision-support application.
Published the work in a peer-reviewed study:
More KS, Wolkersdorfer C (2022) Predicting and Forecasting Mine Water Parameters Using a Hybrid Intelligent System. Water Resour Manage 36(8):2813-2826. https://doi.org/10.1007/s11269-022-03177-2
Skills Demonstrated: Machine Learning | Forecasting | Data Science | Python Development | Predictive Analytics | Model Deployment
Project 3: Introducing Freeze Crystallization to the Textile Industry and Wastewater Sector in Shaoxing, China
Project 3: Introducing Freeze Crystallization to the Textile Industry and Wastewater Sector in Shaoxing, China
Years: 2024 - 2025
Overview
Overview
Participated in the commercialization assessment of freeze crystallization technology for wastewater treatment and resource recovery applications. The work focused on transforming highly saline waste streams into valuable products while recovering clean water using an energy-efficient separation process.
Key Technologies
Key Technologies
Freeze Crystallization • Desalination • Resource Recovery • Process Engineering • Water Treatment • Circular Economy • Technology Commercialization
Highlights
Highlights
Evaluated freeze crystallization as an alternative to conventional thermal evaporation technologies.
Investigated recovery of clean water and valuable salts from saline waste streams.
Contributed to commercialization strategies and technology transfer discussions.
Collaborated with international researchers and industry stakeholders in China.
Assessed technical, economic, and sustainability aspects of the technology.
Skills Demonstrated: Technology Commercialization | Process Engineering | Water Treatment | Resource Recovery | Innovation Management | International Collaboration | Sustainability Assessment
Project 4: Optimisation of Freeze Crystallization Technology for Sustainable Desalination
Project 4: Optimisation of Freeze Crystallization Technology for Sustainable Desalination
Years: 2023 - 2025
Overview
Overview
Contributed to the optimisation of freeze crystallization technology for desalination and brine management applications. The work focused on improving process efficiency, maximizing water recovery, enhancing salt separation, and supporting the development of scalable solutions for industrial implementation.
Key Technologies
Key Technologies
Freeze Crystallization • Desalination • Process Optimisation • Resource Recovery • Brine Management • Water Treatment • Data Analysis
Highlights
Highlights
Evaluated operational performance of freeze crystallization systems.
Investigated methods to improve water recovery and salt separation efficiency.
Supported optimisation of process parameters for industrial-scale applications.
Contributed to sustainable brine management and resource recovery strategies.
Assisted in translating laboratory findings into practical engineering solutions.
Peer-reviewed Publications from this Project:
Peer-reviewed Publications from this Project:
More KS, Maree JP, Mahlangu M (2025) Cost-Effective Leachate Treatment and Resource Recovery in Hazardous Waste Landfills through Pipe Freeze Crystallization. Environ Process 12(2):15. https://doi.org/10.1007/s40710-025-00757-3
Mahlangu M, Maree JP, Botha M, More KS, Mamba BB (2025) Direct Cooling of Brine with Primary Refrigerant During Freeze Crystallization. Paper presented at the International Mine Water Association Conference 2025 - Time to Come, Braga, Portugal; Oviedo, Spain:1-7.
More KS, Maree JP (2025) Achieving Zero Waste and CO2 Reduction in Saline Water Treatment—Sustainable Salt and Ice Recovery Using Pipe Freeze Crystallization. Minerals 15(1):51. https://doi.org/10.3390/min15010051
More KS, Maree JP, Mahlangu M (2025) Optimising Salt Recovery—Four-Year Operational Insights into Na2SO4 Recovery from Saline Waters Using Pipe Freeze-Crystallization. Water 17(1):101. https://doi.org/10.3390/w17010101
More KS, Maree JP, Mahlangu M (2024) Indirect Freeze Crystallization—An Emerging Technology for Valuable Resource Recovery from Wastewater. Minerals 14(4):427. https://doi.org/10.3390/min14040427
Skills Demonstrated: Process Optimisation | Desalination Engineering | Resource Recovery | Experimental Design | Data Analysis | Water Treatment | Industrial R&D
Project 5: Digital Groundwater Sustainability and Climate Resilience in Qatar
Project 5: Digital Groundwater Sustainability and Climate Resilience in Qatar
Years: 2025 - current
Overview
Overview
Contributing to research focused on groundwater sustainability, climate resilience, and water resource management in Qatar. The work integrates hydrogeology, geochemistry, GIS, artificial intelligence, and environmental monitoring to support sustainable water management in arid environments.
Key Technologies
Key Technologies
ArcGIS Pro • Python • Machine Learning • Groundwater Modelling • Hydrogeochemistry • Climate Analytics • Remote Sensing • Data Science • PHREEQC • Modflow
Highlights
Highlights
Assessed groundwater salinity and water quality trends across Qatar.
Developed GIS- and AI-based vulnerability assessment frameworks for municipal water systems.
Applied hydrogeochemical modelling to identify drivers of groundwater deterioration.
Integrated climate indicators and evapotranspiration analysis into groundwater sustainability studies.
Collaborated with government agencies, industry partners, and multidisciplinary research teams.
Skills Demonstrated: Hydrogeology | GIS Analysis | Machine Learning | Climate Analytics | Water Resources Management | Scientific Research | Project Coordination | Environmental Sustainability
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