Albert Kwame Kwaw

Geological Engineering

About

A. K. Kwaw holds a PhD degree in Geological Resource and Geological Engineering from Hohai University, Nanjing, China, with a specialisation in solute and bacteria transport in porous media. Kwame also holds an MSc degree in Mineral Exploration Geoscience from Pan African University and University of Ibadan, Ibadan, Nigeria, and a BSc degree in Geological Engineering from KNUST.Kwame's research interests include fluid flow and solute transport in porous and fractured media; sources, fate and transport of contaminants in aqueous environments; pore water - free and bound - characterisation using nuclear magnetic resonance; mineral exploration and artisanal/small-scale mining practices.Kwame can deliver high-quality, practical results through local and international collaborative research projects.

Research Summary

(inferred from publications by AI)

The researcher's work spans multiple disciplines within physical sciences, focusing on understanding and modeling environmental systems through a diverse set of methodologies and approaches. Their research encompasses groundwater flow studies, NMR spectroscopy applications, hydrological forecasting using AI, data stream mining techniques, microbial community ecology, microbial bioremediation, and hydrogeological investigations. This comprehensive approach highlights their commitment to addressing complex environmental challenges by integrating experimental, mathematical modeling, and computational intelligence methods.

Research Themes

All (9 Papers)

Physical Sciences (9 Papers)

All Papers

Experimental research on the transport-transformation of organic contaminants under the influence of multi-field coupling at a site scale(2024)

Influence of Clay on Solute Transport in Saturated Homogeneous Mixed Media(2021)

Periodic forced-gradient heat and solute tracer tests to characterize the hydraulic, thermodynamic and transport properties of unconfined weakly permeable aquifers(2025)

Corrigendum to “The spatiotemporal evolution of dissolved-phase NAPL plumes revealed by the integrated groundwater quality and machine learning models” [Water Research, 280 (2025), 123,535](2025)

Advancing the knowledge of solute transport in the presence of bound water in mixed porous media based on low-field nuclear magnetic resonance(2023)

Prediction of karst spring discharge using LSTM with Bayesian optimisation hyperparameter tuning: a laboratory physical model approach(2023)

The spatiotemporal evolution of dissolved-phase NAPL plumes revealed by the integrated groundwater quality and machine learning models(2025)

Organic contamination pressure shapes spatiotemporal variability of shallow groundwater bacterial communities and temporal patterns when facing new environmental disturbances(2025)

Spatiotemporal differentiation mechanisms of groundwater PAH-PAE co-contamination: Environmental drivers and seasonal microbial dynamics(2025)

Collaboration Network

No collaborations found in the dataset.

About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.