Thesis

Fabrication, Characterization, and Performance Evaluation of Polypropylene/Polyolefin Elastomer Composite. Masters thesis, King Fahd University of Petroleum and Minerals.

Functional Ink Formulation and Redox-Enhanced Electrolyte Design for Screen-Printed Flexible Micro-Supercapacitors. Masters thesis, King Fahd University of Petroleum and Minerals.

Fabrication of Co212 Superalloy Reinforced with cBN via Spark Plasma Sintering: Insights into Mechanical, Thermal, and Corrosion Properties. Masters thesis, King Fahd University of Petroleum and Minerals.

Enhancement of Triboelectric Nanogenerator Performance for Energy Harvesting Using novel PDMS-based Film via Vapor-induced Phase Separation. Masters thesis, King Fahd University of Petroleum and Minerals.

Advancing Membrane Fabrication for Membrane Distillation: Slot Die Casting vs Blade Casting. Masters thesis, King Fahd University of Petroleum and Minerals.

Optimizing Triboelectric Nanogenerator Performance for Biomechanical Energy Harvesting through Filler and Salt Integration in PVDF-HFP Nanofiber Thin Films. Masters thesis, King Fahd University of Petroleum and Minerals.

Novel Synthesis of Core-Shell Thin Films for Hydrogen Sensing Application. Masters thesis, King Fahd University of Petroleum and Minerals.

Hydrogenation of CO2 to Value-added Chemicals using as Red Mud Solid Supported Catalysts. Masters thesis, King Fahd University of Petroleum and Minerals.

Optimization of Activated Carbon from Olive Leaves for Supercapacitor Applications: Influence of Activating Agents and Electrolytes. Masters thesis, King Fahd University of Petroleum and Minerals.

Hydroxylated UiO-66 MOF Integrated PVA Cross-link Nanofiltration Membrane for Removal of Pharmaceuticals from Wastewater. Masters thesis, King Fahd University of Petroleum and Minerals.

Enhancing Membrane Distillation Efficiency through Air Bubbles: Air bubbling carrier gas throughput the feed side. Masters thesis, King Fahd University of Petroleum and Minerals.

Enhancing Reverse Osmosis Membrane Performance: Synthesis of a Novel Cleaning Chemical for Improved Organic Foulant Mitigation in Water Desalination. Masters thesis, King Fahd University of Petroleum and Minerals.

Thin Film Nanocomposite Membranes Incorporated with Metal-Organic Framework Materials for Water Desalination. Masters thesis, King Fahd University of Petroleum and Minerals.

Synthesis of Magneli-phase Tungsten oxide based for photocatalytic water-splitting. Masters thesis, King Fahd University of Petroleum and Minerals.

Ag-Zn alloy decorated with sputtered thin films for electrochemical CO2 reduction. Masters thesis, King Fahd University of Petroleum and Minerals.

A Janus-type Engineered Surface Multiple-layer Membranes for Highly Saline Water Treatment via Membrane Distillation. Masters thesis, King Fahd University of Petroleum and Minerals.

Machine Learning Model for Predicting Shifts in Gas Chromatography Retention Time Caused by The Change of Experiment. Masters thesis, King Fahd University of Petroleum and Minerals.

A Novel Approach for Synthesizing Metal-Organic Frameworks Thin Films. Masters thesis, King Fahd University of Petroleum and Minerals.

Investigation of the impact of alloying elements in austenitic stainless steel on hydrogen embrittlement for hydrogen energy infrastructure applications using density functional theory. Masters thesis, King Fahd University of Petroleum and Minerals.

Development of Biomass-Derived Fiber-Type Activated Carbon for High-Performance Zn-ion Hybrid Supercapacitors. Masters thesis, King Fahd University of Petroleum and Minerals.

Engineering of Recyclable 6FDA-Based Polyimide Membranes for Desalination in Membrane Distillation. Masters thesis, King Fahd University of Petroleum and Minerals.

SURFACE-ENGINEERED JANUS MEMBRANES: DUAL APPROACHES FOR HIGH PERFORMANCE WATER DESALINATION. Masters thesis, King Fahd University of Petroleum and Minerals.

Engineering Low-Cost Spinel Nanocomposite Catalysts for Sustainable Green Hydrogen Production via Water Splitting: ADFT-Supported Study. Masters thesis, King Fahd University of Petroleum and Minerals.

Supervised machine learning models for predicting the maximum depth of corrosion defects based on historical in-line inspection data. Masters thesis, King Fahd University of Petroleum and Minerals.