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Solomon Senyo Robert Gidigasu

Geological Engineering

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About

Solomon S. R. Gidigasu is a Lecturer at the Department of Geological Engineering, Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He holds a BSc, MPhil and PhD degrees in Geological Engineering from KNUST. He was a Teaching Assistant, Demonstrator and Graduate Assistant at the Geological Engineering Department prior to his appointment as Assistant Lecturer. He is an Engineering Geologist and a Geotechnical Engineer. He is a member of the following professional bodies - Ghana Institution of Engineering, Ghana Geotechnical Society and the Ghana Institution of Geoscientist.

Research Summary

(inferred from publications by AI)

The researcher's work spans multiple disciplines within earth and environmental sciences, with a focus on advancing understanding and managing complex systems through interdisciplinary approaches. Their research is centered around several key themes: soil stabilization techniques in geotechnical engineering, the environmental impacts of heavy metals, hydrological forecasting using artificial intelligence, integration of geochemistry and geology for environmental monitoring, waste management practices in tailings treatments, innovative methods in groundwater exploration, and comprehensive studies on root stability and seepage flow. Their work integrates advanced technologies such as machine learning algorithms, probabilistic seismic hazard analysis, and geophysical techniques to address challenges in soil stability, water resource management, contamination prevention, hydrological modeling, waste recycling, and coastal environment monitoring. This research underscores a unified approach to tackling multifaceted environmental issues across various scales.

Research Themes

All Papers

Large-scale triaxial tests of reinforced coral sand with different grain size distributions(2022)
Undrained dynamic behavior of geogrid-reinforced coral sand(2024)
Spatial Distribution and Potential Ecological Risk Assessment of Trace Metals in Reclaimed Mine Soils in Abuakwa South Municipal, Ghana(2022)
Review of machine learning algorithms used in groundwater availability studies in Africa: analysis of geological and climate input variables(2024)
A Systematic Review of Machine Learning Algorithms in Groundwater Level Simulations and Forecasting(2023)
A Review of Geological and Climatic Variables in Groundwater Availability Prediction in Africa: Machine Learning Approaches(2024)
A systematic review of neural network applications for groundwater level prediction(2025)
A Systematic Review of Neural Network Applications for Groundwater Level Prediction(2024)
Machine Learning-Based Modeling of Groundwater Recharge Under Three Climate Change Scenarios in the Densu Basin of Ghana, West Africa(2025)
GEOCHEMICAL ASSESSMENT OF TRACE METALS IN SOIL, STREAM WATER AND SELECTED FOOD CROPS AT KIBI GOLDFIELDS ENVIRONMENT, GHANA(2020)
The Effect of Clay Pozzolana-Cement-Composite on the Strength Development of a Hydraulic Backfill(2018)
Groundwater Exploration Methods in West Africa: A Review.(2024)
An Evaluation of Catchment Transit Time Model Parameters: A Comparative Study between Two Stable Isotopes of Water(2019)
GEOCHEMICAL AND MINERALOGICAL CHARACTERIZATION OF SOME CLAY MATERIALS AS FLUORIDE ADSORBENT FROM GROUNDWATER IN GHANA(2020)
Geomechanical Characteristics of Natural and Stabilised Black Cotton Soils from the Accra Plains of Ghana(2012)
Deaggregation of Probabilistic Seismic Hazard for Designated Cities in Ghana(2023)
GROUNDWATER POTENTIAL MAPPING OF THE CENTRAL REGION USING INTEGRATED GEOLOGICAL AND GEOPHYSICAL METHODS(2024)
A New Workflow for Estimating Groundwater Recharge in Data-Scarce Environments.(2025)
A systematic literature review on the application of artificial intelligence techniques for rock strength estimation(2025)
Shoreline changes and its impact on coastal communities: A case study of Senya Beraku, Ghana(2025)

Collaboration Network

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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.