RESEARCHER PROFILE
Hawkar Hashim Ibrahim
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Salahaddin University-Erbil
Hawkar Hashim Ibrahim works in Tunneling and Rock Mechanics, Geotechnical Engineering and Analysis, Geotechnical Engineering and Soil Stabilization, Geotechnical and construction materials studies, Geotechnical Engineering and Soil Mechanics. Recorded institutional associations include Salahaddin University-Erbil.
51Publications
1,789Citations
25H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm
2022 · 129 citationsStrength improvement of expansive soil by utilizing waste glass powder
2020 · 123 citationsMachine Learning Techniques to Predict Rock Strength Parameters
2022 · 117 citationsPrediction of safety factors for slope stability: comparison of machine learning techniques
2021 · 117 citationsArtificial intelligence forecasting models of uniaxial compressive strength
2020 · 117 citationsPresenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques
2021 · 116 citationsMachine learning forecasting models of disc cutters life of tunnel boring machine
2021 · 90 citationsPrediction of Mode-I rock fracture toughness using support vector regression with metaheuristic optimization algorithms
2022 · 77 citationsUsing waste glass powder for stabilizing high-plasticity clay in Erbil city-Iraq
2019 · 76 citationsPredicting tunnel water inflow using a machine learning-based solution to improve tunnel construction safety
2023 · 58 citationsDeveloping six hybrid machine learning models based on gaussian process regression and meta-heuristic optimization algorithms for prediction of duration and cost of road tunnels construction
2022 · 45 citationsNumerical and Machine learning modeling of hard rock failure induced by structural planes around deep tunnels
2022 · 45 citationsTunnel geomechanical parameters prediction using Gaussian process regression
2021 · 42 citationsForecasting sidewall displacement of underground caverns using machine learning techniques
2020 · 42 citationsPrediction of Mixed-mode I and II effective fracture toughness of several types of concrete using the extreme gradient boosting method and metaheuristic optimization algorithms
2022 · 41 citationsComprehensive analysis of multiple machine learning techniques for rock slope failure prediction
2023 · 39 citationsDynamic prediction models of rock quality designation in tunneling projects
2020 · 38 citationsEstimating the effective fracture toughness of a variety of materials using several machine learning models
2023 · 35 citationsDynamic reduction of time and cost uncertainties in tunneling projects
2021 · 32 citationsImproving the geotechnical properties of high expansive clay using limestone powder
2020 · 32 citationsOptimal machine learning-based method for gauging compressive strength of nanosilica-reinforced concrete
2023 · 31 citationsComparison of artificial neural network (ANN) and linear regression modeling with residual errors to predict the unconfined compressive strength and compression index for Erbil City soils, Kurdistan-Iraq
2021 · 29 citationsForecasting Face Support Pressure During EPB Shield Tunneling in Soft Ground Formations Using Support Vector Regression and Meta-heuristic Optimization Algorithms
2022 · 28 citationsInfluence of Rock Powder on the Geotechnical Behaviour of Expansive Soil
2021 · 28 citationsSeveral machine learning models to estimate the effect of an acid environment on the effective fracture toughness of normal and reinforced concrete
2023 · 27 citations