Hussein Ali Saleem

@kau.edu.sa

Mining Engineering Department/Faculty of Engineering
1- Mining Engineering Department, King Abdulaziz University Jeddah, Jeddah 21589, Saudi Arabia 2- Mining and Metallurgical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71515, Egypt

Hussein Ali Saleem


               Download Compact PDF  
https://researchid.co/00060981

RESEARCH, TEACHING, or OTHER INTERESTS

Environmental Engineering, Geotechnical Engineering and Engineering Geology, Renewable Energy, Sustainability and the Environment, Statistics, Probability and Uncertainty
28

Scopus Publications

Scopus Publications

  • Performance of monoleaf springs with functionally graded materials
    Hassan S. Hedia, Hussein A. Saleem, Mohamed H. Hedia, Mona A. Soliman
    Materialpruefung Materials Testing, 2026
    Functionally Graded Materials (FGMs) improve fatigue resistance in leaf springs subjected to cyclic loading by optimizing the distribution of material properties throughout the component, thus enhancing both performance and durability. These materials feature a gradual variation in composition and structure, enabling customized mechanical properties that better resist the stresses and strains encountered during repeated loading cycles. This study focuses on the design of a monoleaf spring composed of an FGM composite that combines carbon fiber–reinforced polymer with 50R steel, analyzed using finite element analysis (FEA). The investigation examines the spatial distribution of von Mises stress and strain energy across the thickness of the functionally graded monoleaf spring. Three different grading functions are employed: a straightforward power-law function (P-FGM), a modified symmetric power-law function (S–P-FGM), and a Sigmoid function (S-FGM). The parameter k in the power-law functions was varied (0.2, 0.5, 1, 2, 5 and 10) to understand its influence on stress distribution and strain energy. Results indicate that the spring’s performance improves with increasing k , with the highest value, k = 10, yielding the greatest strain energy storage capacity, making it ideal for applications demanding high energy absorption and resilience. Additionally, at k = 10, the FGM exhibits the highest margin of safety (MOS), reflecting superior strength and reliability. Among the functions tested, P-FGM and S–P-FGM provide the best results in terms of margin of safety and strain energy, while the S-FGM function performs the least effectively. Ultimately, the optimal design for a monoleaf spring is an FGM composite of carbon fiber–reinforced polymer and 50R steel with a power exponent k = 10, offering excellent strain energy capacity, strength, and safety margin, thereby significantly enhancing spring performance.
  • Integrated optimization of underground mine ventilation using hardy cross, Monte Carlo simulations, and machine learning techniques: a step toward sustainable mining
    Hussein A. Saleem
    Journal of Sustainable Mining, 2026
    Underground mine ventilation is crucial for ensuring worker safety, air quality, and operational efficiency. Effective optimization of ventilation systems reduces energy consumption, enhances airflow distribution, and minimizes risks associated with harmful gases and fire hazards. This study proposed an integrated framework combining the Hardy Cross (HC) method, Monte Carlo (MC) simulations, and machine learning (ML) techniques to optimize the ventilation system at the Jabal Sayid mine in Saudi Arabia. The HC method was employed to provide deterministic baseline airflow calculations, while the MC simulations accounted for uncertainties in resistance values and environmental conditions, generating probabilistic distributions of key parameters. Among the five ML algorithms tested (ANN, RF, GB, SVM, and LSTM), the LSTM model demonstrated superior predictive accuracy, particularly for dynamic, time-dependent parameters. The hybrid HC-MC-ML model integrated these approaches to achieve comprehensive ventilation optimization. Results indicated a 12.8% reduction in airflow resistance, leading to enhanced fan efficiency and a significant improvement in energy consumption. For instance, fan system efficiency increased by up to 7% in combined operations, while resistance values consistently decreased across all scenarios. Additionally, the hybrid model effectively managed exhaust gas emissions, maintaining pollutant concentrations within permissible limits by dynamically adjusting airflow routes. The findings demonstrate that the HC-MC-ML framework not only improved energy efficiency but also ensured safe and sustainable mine ventilation.
  • Sustainable Utilization of Cement Kiln Dust (CKD) in Construction Applications: A Review with Emphasis on the Saudi Arabian Context.
    Khalid Abudurman, Hussein Saleem, Hussin A. Ahmed
    Afinidad, 2026
    Cement Kiln Dust (CKD) is a major by-product of the cement manufacturing process, presenting considerable disposal challenges and environmental concerns worldwide. With the global demand for cement escalating, particularly in fast-growing economies such as the Kingdom of Saudi Arabia driven by mega-projects under Vision 2030, the generation of CKD is projected to increase substantially. This review paper synthesizes the existing literature on CKD, covering its formation, chemical and physical properties, associated environmental and health hazards, and its various applications, primarily focusing on the construction sector. It examines global research on CKD utilization in soil stabilization, as a partial cement replacement in concrete and mortars, and in the production of bricks, blocks, and paving units. Furthermore, this review specifically highlights the current status of CKD research and application within Saudi Arabia, aligning its potential utilization with the Kingdom's sustainability and circular economy objectives. Key challenges, including CKD variability and potential contaminant content, are discussed, alongside future research directions needed to promote wider, safe, and economically viable CKD valorization in the Saudi construction industry and beyond.
  • Enhancing environmental sustainability and operational efficiency in a case study of limestone quarry in an arid climate
    Hussein A. Saleem, Abebe Temesgen Ayalew
    Scientific Reports, 2025
    This study explored innovative approaches to enhance environmental sustainability and operational efficiency in quarry operations in Ethiopia, focusing on the limestone quarry of the National Cement Factory. This open-air quarry, dedicated to produce gravel and aggregate for construction materials, presented significant environmental challenges, including air pollution, dust emissions, and noise pollution. The study examined the integration of automated environmental monitoring systems, dust and noise control techniques, and sustainable site rehabilitation. Automated environmental monitoring systems, incorporating IoT sensors and machine-learning algorithms, provide real-time data on air quality, dust levels, and noise pollution. This data-driven approach enables predictive analytics for early hazard detection and proactive mitigation. In parallel, eco-friendly practices such as non-toxic dust suppressants and sustainable land reclamation strategies mitigate the ecological impacts of quarrying. These strategies, tailored to arid environments, include the use of indigenous plant species to restore biodiversity and prevent soil erosion. This study employs a case study methodology, collecting and analyzing real-time data before and after interventions. The findings demonstrate significant improvements, including a 45% reduction in dust levels, a 15% reduction in noise levels, and a 266% increase in vegetation cover. Additionally, the results highlighted the role of local regulations, industry collaboration, and workforce training in achieving sustainable quarrying operations. The proposed approach enhanced environmental compliance, safety, and operational efficiency, offering a model for similar quarrying sites in arid climates.
  • Environmental impact assessment of leachate from mining tailings using electrical resistivity imaging
    Mosaad Ali Hussein Ali, Wei Qian, Ragab Rabeiy, Hussein A. Saleem, Ahmed S. Mohamed, Abdullahi Uwaisu Muhammad, Ali Shebl
    Scientific Reports, 2025
    The environmental difficulties from mining tailings arise mainly from legacy dump sites because these residues spread pollution through surrounding areas. Effective environmental management requires a comprehensive pre-assessment. An ERI, electrical resistivity imaging, system serves as the analytical tool to create models for leachate assessment prior to its measurement in abandoned mining tailing storage sites. A total of 16 2D ERI profiles produced both 2D and 3D models that monitored the El Mochito mine waste site in Honduras. Different geoelectric zones were identified in the electrical resistivity models of this site with high resistivity values ranging between 60 and 100 Ω m in the surface layer while the middle layer exhibited moderate resistivity between 30 and 60 Ω m and the lowest resistivity of 1–30 Ω m was observed in the active leaching zone that contained conductive materials and mineral-rich leachate. The 3D hydrogeological models provided clear visibility of leachate areas and flow paths. The leachate migration showed uniform movement towards the northern direction until it reached the southern region where concentrations decreased. Another level of spatial understanding and depth information on resistivity distribution was obtained from 3D ERI models. The complete assessment objectives of the research form the basis for future investigations while demonstrating the importance of integrating geochemical measurements. The study emphasizes the need for ERI to examine complicated mining tailings yet requests deeper scientific investigation to create effective environmental management techniques and remediation practices.
  • Correction: Groundwater Potential Mapping in Semi-Arid Areas Using Integrated Remote Sensing, GIS, and Geostatistics Techniques (Water, (2025), 17, 13, (1909), 10.3390/w17131909)
    Ahmed El-sayed Mostafa, Mahrous A. M. Ali, Faissal A. Ali, Ragab Rabeiy, Hussein A. Saleem, Mosaad Ali Hussein Ali, Ali Shebl
    Water Switzerland, 2025
    In the original publication [...]
  • Groundwater Potential Mapping in Semi-Arid Areas Using Integrated Remote Sensing, GIS, and Geostatistics Techniques
    Ahmed El-sayed Mostafa, Mahrous A. M. Ali, Faissal A. Ali, Ragab Rabeiy, Hussein A. Saleem, Ali Shebl, Mosaad Ali Hussein Ali
    Water Switzerland, 2025
    Groundwater serves as a vital resource for sustainable water supply, particularly in semi-arid regions where surface water availability is limited. This study explores groundwater potential zones in the East Desert, Qift–Qena, Egypt, using a multidisciplinary approach that integrates remote sensing (RS), geographic information systems (GIS), geostatistics, and field validation with water wells to develop a comprehensive groundwater potential mapping framework. Sentinel-2 imagery, ALOS PALSAR DEM, and SMAP datasets were utilized to derive critical thematic layers, including land use/land cover, vegetation indices, soil moisture, drainage density, slope, and elevation. The results of the groundwater potentiality map of the study area from RS reveal four distinct zones: low, moderate, high, and very high. The analysis indicates a notable spatial variability in groundwater potential, with “high” (34.1%) and “low” (33.8%) potential zones dominating the landscape, while “very high” potential areas (4.8%) are relatively scarce. The limited extent of “very high” potential zones, predominantly concentrated along the Nile River valley, underscores the river’s critical role as the primary source of groundwater recharge. Moderate potential zones include places where infiltration is possible but limited, such as gently sloping terrain or regions with slightly broken rock structures, and they account for 27.3%. These layers were combined with geostatistical analysis of data from 310 groundwater wells, which provided information on static water level (SWL) and total dissolved solids (TDS). GIS was employed to assign weights to the thematic layers based on their influence on groundwater recharge and facilitated the spatial integration and visualization of the results. Geostatistical interpolation methods ensured the reliable mapping of subsurface parameters. The assessment utilizing pre-existing well data revealed a significant concordance between the delineated potential zones and the actual availability of groundwater resources. The findings of this study could significantly improve groundwater management in semi-arid/arid zones, offering a strategic response to water scarcity challenges.
  • Improved mechanical properties of concrete mix at high temperatures based on the addition of kaolin, bentonite and glauconite
    Gamal S. Abdelhaffez, Amr B. ElDeeb, Mohamed M. Badawy, Salah A. Salman, Hussein A. Saleem, Haitham M. Ahmed, Azza I. Anan
    Innovative Infrastructure Solutions, 2025
  • Energy Consumption Reduction in Underground Mine Ventilation System: An Integrated Approach Using Mathematical and Machine Learning Models Toward Sustainable Mining
    Hussein A. Saleem
    Sustainability Switzerland, 2025
    This study presents an integrated approach combining the Hardy Cross method and a gradient boosting (GB) optimization model to enhance ventilation systems in underground mines, with a specific application at the Jabal Sayid mine in Saudi Arabia. The Hardy Cross method addresses variations in airflow resistance caused by obstacles within ventilation pathways, enabling accurate predictions of the flow distribution across the network. The GB model complements this by optimizing fan placement, pressure control, and airflow intensity to achieve reduced energy consumption and improved efficiency. The results demonstrate significant improvements in fan efficiency, optimized energy usage, and enhanced ventilation effectiveness, achieving a 31.24% reduction in electricity consumption. This study bridges deterministic and machine learning methodologies, offering a novel framework for the real-time optimization of underground mine ventilation systems. By combining the Hardy Cross method with GB, the proposed approach outperforms traditional techniques in predicting and optimizing airflow distribution under dynamic conditions.
  • AUTOMATION AND ARTIFICIAL INTELLIGENCE IN ENHANCING MINING EFFICIENCY AND SUSTAINABILITY: A REVIEW
    Procedia Environmental Science Engineering and Management, 2025
  • Numerical Simulation of Geophysical Models to Detect Mining Tailings’ Leachates within Tailing Storage Facilities
    Mosaad Ali Hussein Ali, Farag M. Mewafy, Wei Qian, Ajibola Richard Faruwa, Ali Shebl, Saleh Dabaa, Hussein A. Saleem
    Water Switzerland, 2024
  • Influence of using nanofluid and phase change material on the performance of a solar thermal panel to provide the required energy of an office building in a mine
    Hussein A. Saleem
    Engineering Analysis with Boundary Elements, 2023
  • Mapping Leachate Pathways in Aging Mining Tailings Pond Using Electrical Resistivity Tomography
    Mosaad Ali Hussein Ali, Farag M. Mewafy, Wei Qian, Fahad Alshehri, Sattam Almadani, Mofleh Aldawsri, Majed Aloufi, Hussein A. Saleem
    Minerals, 2023
  • Numerical and experimental analyses of rock failure mechanisms due to microwave treatment
    Haitham M. Ahmed, Adel Ahmadihosseini, Ferri Hassani, Mohammed A. Hefni, HussinA.M. Ahmed, Hussein A. Saleem, Essam B. Moustafa, Agus P. Sasmito
    Journal of Rock Mechanics and Geotechnical Engineering, 2023
  • Integration of Electrical Resistivity Tomography and Induced Polarization for Characterization and Mapping of (Pb-Zn-Ag) Sulfide Deposits
    Mosaad Ali, Farag Mewafy, Wei Qian, Fahad Alshehri, Mohamed Ahmed, Hussein Saleem
    Minerals, 2023
  • On Bending of Piezoelectrically Layered Perforated Nanobeams Embedded in an Elastic Foundation with Flexoelectricity
    Alaa A. Abdelrahman, Hussein A. Saleem, Gamal S. Abdelhaffez, Mohamed A. Eltaher
    Mathematics, 2023
  • Cement Kiln Dust (CKD) as a Partial Substitute for Cement in Pozzolanic Concrete Blocks
    Haitham M. Ahmed, Mohammed A. Hefni, Hussin A. M. Ahmed, Hussein A. Saleem
    Buildings, 2023
  • Effect of ore heterogeneity on the ball mill wear rate during a grinding process at gold mines of Saudi Arabia (KSA)
    Gamal S Abdelhaffez, Haitham M Ahmed, Hussein A Saleem
    Mining of Mineral Deposits, 2023
  • Buckling of Coated Functionally Graded Spherical Nanoshells Rested on Orthotropic Elastic Medium
    Gamal S. Abdelhaffez, Ahmed Amine Daikh, Hussein A. Saleem, Mohamed A. Eltaher
    Mathematics, 2023
  • The effects of pin-fin shapes on heat sink effectiveness in the presence of a turbulent nanofluid regime
    Yacine Khetib, Ahmad Alahmadi, Ali Alzaed, Hussein A. Saleem, Mohsen Sharifpur, Rasool Kalbasi
    Chemical Engineering Communications, 2023
  • A 3D space-marching analytical model for geothermal borehole systems with multiple heat exchangers
    Mohammed A. Hefni, Minghan Xu, Ahmad F. Zueter, Ferri Hassani, Mohamed A. Eltaher, Haitham M. Ahmed, Hussein A. Saleem, Hussin A.M. Ahmed, Gamal S.A. Hassan, Khaled I. Ahmed, Essam B. Moustafa, Emad Ghandourah, Agus P. Sasmito
    Applied Thermal Engineering, 2022
  • Evaluation of Rheology Measurements Techniques for Pressure Loss in Mine Paste Backfill Transportation
    Haitham M. Ahmed, Bhargav Bharathan, Mehrdad Kermani, Ferri Hassani, Mohammed A. Hefni, Hussin A. M. Ahmed, Gamal S. A. Hassan, Essam B. Moustafa, Hussein A. Saleem, Agus P. Sasmito
    Minerals, 2022
  • Effect of Elevated Temperature on Rhyolitic Rocks’ Properties
    Haitham M. Ahmed, Mohammed A. Hefni, Hussin A. M. Ahmed, Sefiu O. Adewuyi, Ferri Hassani, Agus P. Sasmito, Hussein A. Saleem, Essam B. Moustafa, Gamal S. A. Hassan
    Materials, 2022
  • An analytical model for transient heat transfer with a time-dependent boundary in solar-and waste-heat-assisted geothermal borehole systems: From single to multiple boreholes
    Mohammed A. Hefni, Minghan Xu, Ferri Hassani, Seyed Ali Ghoreishi-Madiseh, Haitham M. Ahmed, Hussein A. Saleem, Hussin A. M. Ahmed, Gamal S. A. Hassan, Khaled I. Ahmed, Agus P. Sasmito
    Applied Sciences Switzerland, 2021
  • Simulation of Alumina/Water Nanofluid Flow in a Micro-Heatsink With Wavy Microchannels: Impact of Two-Phase and Single-Phase Nanofluid Models
    Yacine Khetib, Hala M. Abo-Dief, Abdullah K. Alanazi, Hussein A. Saleem, S. Mohammad Sajadi, Mohsen Sharifpur
    Frontiers in Energy Research, 2021
  • Numerical study of natural convection of biological nanofluid flow prepared from tea leaves under the effect of magnetic field
    Yacine Khetib, Ahmad Alahmadi, Ali Alzaed, Hussein A. Saleem, Mohsen Sharifpur, Goshtasp Cheraghian
    Processes, 2021
  • Stability assessment of underground openings using different rock support systems
    Wael R. Elrawy, Gamal S. Abdelhaffez, Hussein A. Saleem
    Rudarsko Geolosko Naftni Zbornik, 2020
  • Effect of the Nile aquifer lithological characteristics on groundwater chemistry in Assiut Governorate, Egypt
    Hussein Saleem, Mohamed El-Tahlawi, Mohamed Abo-Alkassem, Gamal Yehya Boghdadi
    Journal of Ecological Engineering, 2019

Publications

• Abdelhaffez, G. S. H., Ahmed, H. M., Saleem, H. A. Effect of ore heterogeneity on the ball mill wear rate during a grinding process at gold mines of Saudi Arabia (KSA), Mining of Mineral Deposits (MMD), Volume 17 (2023), Issue 2, 71-81.
• Ahmed HM, Ahmadihosseini A, Hassani F, Hefni MA, Ahmed HM, Saleem HA, Moustafa EB, Sasmito AP, Numerical and experimental analyses of rock failure mechanisms due to microwave treatment, Journal of Rock Mechanics and Geotechnical Engineering (2023), doi: https:// .
• Abdelrahman, A.A.; Saleem, H.A.; Abdelhaffez, G.S.; Eltaher, M.A. On Bending of Piezoelectrically Layered Perforated Nanobeams Embedded in an Elastic Foundation with Flexoelectricity. Mathematics 2023, 11, 1162. https://
• Ahmed, H.M.; Hefni, M.A.; Ahmed, H.A.M.; Saleem, H.A. Cement Kiln Dust (CKD) as a Partial Substitute for Cement in Pozzolanic Concrete Blocks. Buildings 2023, 13, 568.
• Abdelhaffez, G.S.; Daikh, A.A.; Saleem, H.A.; Eltaher, M.A. Buckling of Coated Functionally Graded Spherical Nanoshells Rested on Orthotropic Elastic Medium. Mathematics 2023, 11, 409.
• Hefni M.A., Xu M., Zueter A.F., Hassani F., Mohamed A.Eltaher M. A., Ahmed, H. M., Saleem H. A., Ahmed, H. A. M., Abdelhaffez, G. S. H., Ahmed K. I., Moustafa E. B., Ghandoura E., Sasmito, A. P., “A 3D space-marching analytical