Research Scholar

Interdisciplinary Research Center for Advanced Materials (IRC-AM)

Dr. Mariam Jaber works on product development, computational simulation and multi-objective optimization, with a focus on hydrogen storage systems, AI-driven engineering design and composite materials. Her work combines finite element analysis, experimental characterization and machine learning, across a career spanning industry and academia in Europe and the Middle East.

She holds a Dr.-Ing. in Mechanical Engineering from the Technical University of Darmstadt, carried out at BMW Group in Munich as a Marie Skłodowska-Curie Fellow, on the optimization of NVH performance in vehicle structures. She holds two master's degrees, ranked first in her cohort in both: a Diplôme d'Ingénieur in Applied Mathematics and Modeling from Polytech Nice-Sophia, and an M.Sc. in Physics of Materials and Numerical Modeling from Mines ParisTech and the University of Nice, with the thesis carried out at École Polytechnique Fédérale de Lausanne (EPFL). She also holds an MBA from IAE Nice, with a thesis on risk management in complex technical projects.

Dr. Jaber spent nearly ten years at BMW Group Research and Development in Munich across five postings: composite structural dynamics, vehicle exterior simulation, structural properties, predevelopment in mechanics and mechatronics, and powertrain acoustics. She carried body components from concept phase to series release against stiffness, sealing, flushness, durability and acoustic targets, derived and defended the stiffness and NVH targets for two vehicle series, and developed cooling concepts for series saloons and Rolls-Royce. She led teams of external analysts on successive vehicle projects and commissioned and steered engineering providers against scope, schedule, budget and delivery.

At KFUPM she is Principal Investigator of funded research on Type V composite hydrogen storage for automotive and deep-sea applications, assessed against UN GTR No. 13 and UN R134 with qualification methodology informed by ISO 19881, and leads an initiative on corrosion-resistant hydrogen storage. Her group couples finite element analysis with machine learning: surrogate models trained on 3,000 solutions predict the failure, buckling and vibration response of 132,000 laminate configurations to about 2 % error on held-out data, returning in seconds a design space that would otherwise take years of computation. She supervises four doctoral and master's researchers and publishes in peer-reviewed journals on composite pressure-vessel substantiation.

In teaching, she developed ME-595 Numerical Optimization for Engineers, the graduate course she coordinates and teaches, covering linear programming and duality, quadratic and mixed-integer programming, constrained nonlinear programming and the KKT conditions, goal attainment, minimax and Pareto methods, metaheuristic search and surrogate-based optimization. She also teaches materials science to mechanical, chemical and industrial engineering students. She was the first female faculty member in the Mechanical Engineering Department. She works in German, French, English and Arabic.

Selected publications

Jaber, M., Jaber, H., Hawwa, M., Al-Athel, K. & Yahya, A. (2026). A novel positive-curvature composite vessel concept for underwater hydrogen storage: burst and buckling performance. Ocean Engineering, 361, 126003.

Jaber, M., Jaber, H., Al-Athel, K., Sorour, A. A. & Yahya, A. (2026). Egg-shaped Type V composite hydrogen vessels: buckling and first burst assessment for deep-sea applications. International Journal of Hydrogen Energy, 236, 155064.

Yahya, A., Jaber, M., Hawwa, M., Merah, N. & Jaber, H. (2026). Structural integrity of linerless composite pressure vessels under drop impact: comparative analysis of cylindrical, spherical and toroidal geometries. Mechanics of Advanced Materials and Structures, 33(1), 2676187.

Jaber, M. (2025). Multi-objective particle swarm optimization of damping and global torsional stiffness in composite vehicle structures. ICSRS 2025, IEEE, 315-320.

Research Scholar

Interdisciplinary Research Center for Advanced Materials (IRC-AM)

Dr. Mariam Jaber works on product development, computational simulation and multi-objective optimization, with a focus on hydrogen storage systems, AI-driven engineering design and composite materials. Her work combines finite element analysis, experimental characterization and machine learning, across a career spanning industry and academia in Europe and the Middle East.

She holds a Dr.-Ing. in Mechanical Engineering from the Technical University of Darmstadt, carried out at BMW Group in Munich as a Marie Skłodowska-Curie Fellow, on the optimization of NVH performance in vehicle structures. She holds two master's degrees, ranked first in her cohort in both: a Diplôme d'Ingénieur in Applied Mathematics and Modeling from Polytech Nice-Sophia, and an M.Sc. in Physics of Materials and Numerical Modeling from Mines ParisTech and the University of Nice, with the thesis carried out at École Polytechnique Fédérale de Lausanne (EPFL). She also holds an MBA from IAE Nice, with a thesis on risk management in complex technical projects.

Dr. Jaber spent nearly ten years at BMW Group Research and Development in Munich across five postings: composite structural dynamics, vehicle exterior simulation, structural properties, predevelopment in mechanics and mechatronics, and powertrain acoustics. She carried body components from concept phase to series release against stiffness, sealing, flushness, durability and acoustic targets, derived and defended the stiffness and NVH targets for two vehicle series, and developed cooling concepts for series saloons and Rolls-Royce. She led teams of external analysts on successive vehicle projects and commissioned and steered engineering providers against scope, schedule, budget and delivery.

At KFUPM she is Principal Investigator of funded research on Type V composite hydrogen storage for automotive and deep-sea applications, assessed against UN GTR No. 13 and UN R134 with qualification methodology informed by ISO 19881, and leads an initiative on corrosion-resistant hydrogen storage. Her group couples finite element analysis with machine learning: surrogate models trained on 3,000 solutions predict the failure, buckling and vibration response of 132,000 laminate configurations to about 2 % error on held-out data, returning in seconds a design space that would otherwise take years of computation. She supervises four doctoral and master's researchers and publishes in peer-reviewed journals on composite pressure-vessel substantiation.

In teaching, she developed ME-595 Numerical Optimization for Engineers, the graduate course she coordinates and teaches, covering linear programming and duality, quadratic and mixed-integer programming, constrained nonlinear programming and the KKT conditions, goal attainment, minimax and Pareto methods, metaheuristic search and surrogate-based optimization. She also teaches materials science to mechanical, chemical and industrial engineering students. She was the first female faculty member in the Mechanical Engineering Department. She works in German, French, English and Arabic.

Selected publications

Jaber, M., Jaber, H., Hawwa, M., Al-Athel, K. & Yahya, A. (2026). A novel positive-curvature composite vessel concept for underwater hydrogen storage: burst and buckling performance. Ocean Engineering, 361, 126003.

Jaber, M., Jaber, H., Al-Athel, K., Sorour, A. A. & Yahya, A. (2026). Egg-shaped Type V composite hydrogen vessels: buckling and first burst assessment for deep-sea applications. International Journal of Hydrogen Energy, 236, 155064.

Yahya, A., Jaber, M., Hawwa, M., Merah, N. & Jaber, H. (2026). Structural integrity of linerless composite pressure vessels under drop impact: comparative analysis of cylindrical, spherical and toroidal geometries. Mechanics of Advanced Materials and Structures, 33(1), 2676187.

Jaber, M. (2025). Multi-objective particle swarm optimization of damping and global torsional stiffness in composite vehicle structures. ICSRS 2025, IEEE, 315-320.

Research Scholar

Interdisciplinary Research Center for Advanced Materials (IRC-AM)

Dr. Mariam Jaber works on product development, computational simulation and multi-objective optimization, with a focus on hydrogen storage systems, AI-driven engineering design and composite materials. Her work combines finite element analysis, experimental characterization and machine learning, across a career spanning industry and academia in Europe and the Middle East.

She holds a Dr.-Ing. in Mechanical Engineering from the Technical University of Darmstadt, carried out at BMW Group in Munich as a Marie Skłodowska-Curie Fellow, on the optimization of NVH performance in vehicle structures. She holds two master's degrees, ranked first in her cohort in both: a Diplôme d'Ingénieur in Applied Mathematics and Modeling from Polytech Nice-Sophia, and an M.Sc. in Physics of Materials and Numerical Modeling from Mines ParisTech and the University of Nice, with the thesis carried out at École Polytechnique Fédérale de Lausanne (EPFL). She also holds an MBA from IAE Nice, with a thesis on risk management in complex technical projects.

Dr. Jaber spent nearly ten years at BMW Group Research and Development in Munich across five postings: composite structural dynamics, vehicle exterior simulation, structural properties, predevelopment in mechanics and mechatronics, and powertrain acoustics. She carried body components from concept phase to series release against stiffness, sealing, flushness, durability and acoustic targets, derived and defended the stiffness and NVH targets for two vehicle series, and developed cooling concepts for series saloons and Rolls-Royce. She led teams of external analysts on successive vehicle projects and commissioned and steered engineering providers against scope, schedule, budget and delivery.

At KFUPM she is Principal Investigator of funded research on Type V composite hydrogen storage for automotive and deep-sea applications, assessed against UN GTR No. 13 and UN R134 with qualification methodology informed by ISO 19881, and leads an initiative on corrosion-resistant hydrogen storage. Her group couples finite element analysis with machine learning: surrogate models trained on 3,000 solutions predict the failure, buckling and vibration response of 132,000 laminate configurations to about 2 % error on held-out data, returning in seconds a design space that would otherwise take years of computation. She supervises four doctoral and master's researchers and publishes in peer-reviewed journals on composite pressure-vessel substantiation.

In teaching, she developed ME-595 Numerical Optimization for Engineers, the graduate course she coordinates and teaches, covering linear programming and duality, quadratic and mixed-integer programming, constrained nonlinear programming and the KKT conditions, goal attainment, minimax and Pareto methods, metaheuristic search and surrogate-based optimization. She also teaches materials science to mechanical, chemical and industrial engineering students. She was the first female faculty member in the Mechanical Engineering Department. She works in German, French, English and Arabic.

Selected publications

Jaber, M., Jaber, H., Hawwa, M., Al-Athel, K. & Yahya, A. (2026). A novel positive-curvature composite vessel concept for underwater hydrogen storage: burst and buckling performance. Ocean Engineering, 361, 126003.

Jaber, M., Jaber, H., Al-Athel, K., Sorour, A. A. & Yahya, A. (2026). Egg-shaped Type V composite hydrogen vessels: buckling and first burst assessment for deep-sea applications. International Journal of Hydrogen Energy, 236, 155064.

Yahya, A., Jaber, M., Hawwa, M., Merah, N. & Jaber, H. (2026). Structural integrity of linerless composite pressure vessels under drop impact: comparative analysis of cylindrical, spherical and toroidal geometries. Mechanics of Advanced Materials and Structures, 33(1), 2676187.

Jaber, M. (2025). Multi-objective particle swarm optimization of damping and global torsional stiffness in composite vehicle structures. ICSRS 2025, IEEE, 315-320.

Research Scholar

Interdisciplinary Research Center for Advanced Materials (IRC-AM)

Dr. Mariam Jaber works on product development, computational simulation and multi-objective optimization, with a focus on hydrogen storage systems, AI-driven engineering design and composite materials. Her work combines finite element analysis, experimental characterization and machine learning, across a career spanning industry and academia in Europe and the Middle East.

She holds a Dr.-Ing. in Mechanical Engineering from the Technical University of Darmstadt, carried out at BMW Group in Munich as a Marie Skłodowska-Curie Fellow, on the optimization of NVH performance in vehicle structures. She holds two master's degrees, ranked first in her cohort in both: a Diplôme d'Ingénieur in Applied Mathematics and Modeling from Polytech Nice-Sophia, and an M.Sc. in Physics of Materials and Numerical Modeling from Mines ParisTech and the University of Nice, with the thesis carried out at École Polytechnique Fédérale de Lausanne (EPFL). She also holds an MBA from IAE Nice, with a thesis on risk management in complex technical projects.

Dr. Jaber spent nearly ten years at BMW Group Research and Development in Munich across five postings: composite structural dynamics, vehicle exterior simulation, structural properties, predevelopment in mechanics and mechatronics, and powertrain acoustics. She carried body components from concept phase to series release against stiffness, sealing, flushness, durability and acoustic targets, derived and defended the stiffness and NVH targets for two vehicle series, and developed cooling concepts for series saloons and Rolls-Royce. She led teams of external analysts on successive vehicle projects and commissioned and steered engineering providers against scope, schedule, budget and delivery.

At KFUPM she is Principal Investigator of funded research on Type V composite hydrogen storage for automotive and deep-sea applications, assessed against UN GTR No. 13 and UN R134 with qualification methodology informed by ISO 19881, and leads an initiative on corrosion-resistant hydrogen storage. Her group couples finite element analysis with machine learning: surrogate models trained on 3,000 solutions predict the failure, buckling and vibration response of 132,000 laminate configurations to about 2 % error on held-out data, returning in seconds a design space that would otherwise take years of computation. She supervises four doctoral and master's researchers and publishes in peer-reviewed journals on composite pressure-vessel substantiation.

In teaching, she developed ME-595 Numerical Optimization for Engineers, the graduate course she coordinates and teaches, covering linear programming and duality, quadratic and mixed-integer programming, constrained nonlinear programming and the KKT conditions, goal attainment, minimax and Pareto methods, metaheuristic search and surrogate-based optimization. She also teaches materials science to mechanical, chemical and industrial engineering students. She was the first female faculty member in the Mechanical Engineering Department. She works in German, French, English and Arabic.

Selected publications

Jaber, M., Jaber, H., Hawwa, M., Al-Athel, K. & Yahya, A. (2026). A novel positive-curvature composite vessel concept for underwater hydrogen storage: burst and buckling performance. Ocean Engineering, 361, 126003.

Jaber, M., Jaber, H., Al-Athel, K., Sorour, A. A. & Yahya, A. (2026). Egg-shaped Type V composite hydrogen vessels: buckling and first burst assessment for deep-sea applications. International Journal of Hydrogen Energy, 236, 155064.

Yahya, A., Jaber, M., Hawwa, M., Merah, N. & Jaber, H. (2026). Structural integrity of linerless composite pressure vessels under drop impact: comparative analysis of cylindrical, spherical and toroidal geometries. Mechanics of Advanced Materials and Structures, 33(1), 2676187.

Jaber, M. (2025). Multi-objective particle swarm optimization of damping and global torsional stiffness in composite vehicle structures. ICSRS 2025, IEEE, 315-320.

Research Scholar

Interdisciplinary Research Center for Advanced Materials (IRC-AM)

Dr. Mariam Jaber works on product development, computational simulation and multi-objective optimization, with a focus on hydrogen storage systems, AI-driven engineering design and composite materials. Her work combines finite element analysis, experimental characterization and machine learning, across a career spanning industry and academia in Europe and the Middle East.

She holds a Dr.-Ing. in Mechanical Engineering from the Technical University of Darmstadt, carried out at BMW Group in Munich as a Marie Skłodowska-Curie Fellow, on the optimization of NVH performance in vehicle structures. She holds two master's degrees, ranked first in her cohort in both: a Diplôme d'Ingénieur in Applied Mathematics and Modeling from Polytech Nice-Sophia, and an M.Sc. in Physics of Materials and Numerical Modeling from Mines ParisTech and the University of Nice, with the thesis carried out at École Polytechnique Fédérale de Lausanne (EPFL). She also holds an MBA from IAE Nice, with a thesis on risk management in complex technical projects.

Dr. Jaber spent nearly ten years at BMW Group Research and Development in Munich across five postings: composite structural dynamics, vehicle exterior simulation, structural properties, predevelopment in mechanics and mechatronics, and powertrain acoustics. She carried body components from concept phase to series release against stiffness, sealing, flushness, durability and acoustic targets, derived and defended the stiffness and NVH targets for two vehicle series, and developed cooling concepts for series saloons and Rolls-Royce. She led teams of external analysts on successive vehicle projects and commissioned and steered engineering providers against scope, schedule, budget and delivery.

At KFUPM she is Principal Investigator of funded research on Type V composite hydrogen storage for automotive and deep-sea applications, assessed against UN GTR No. 13 and UN R134 with qualification methodology informed by ISO 19881, and leads an initiative on corrosion-resistant hydrogen storage. Her group couples finite element analysis with machine learning: surrogate models trained on 3,000 solutions predict the failure, buckling and vibration response of 132,000 laminate configurations to about 2 % error on held-out data, returning in seconds a design space that would otherwise take years of computation. She supervises four doctoral and master's researchers and publishes in peer-reviewed journals on composite pressure-vessel substantiation.

In teaching, she developed ME-595 Numerical Optimization for Engineers, the graduate course she coordinates and teaches, covering linear programming and duality, quadratic and mixed-integer programming, constrained nonlinear programming and the KKT conditions, goal attainment, minimax and Pareto methods, metaheuristic search and surrogate-based optimization. She also teaches materials science to mechanical, chemical and industrial engineering students. She was the first female faculty member in the Mechanical Engineering Department. She works in German, French, English and Arabic.

Selected publications

Jaber, M., Jaber, H., Hawwa, M., Al-Athel, K. & Yahya, A. (2026). A novel positive-curvature composite vessel concept for underwater hydrogen storage: burst and buckling performance. Ocean Engineering, 361, 126003.

Jaber, M., Jaber, H., Al-Athel, K., Sorour, A. A. & Yahya, A. (2026). Egg-shaped Type V composite hydrogen vessels: buckling and first burst assessment for deep-sea applications. International Journal of Hydrogen Energy, 236, 155064.

Yahya, A., Jaber, M., Hawwa, M., Merah, N. & Jaber, H. (2026). Structural integrity of linerless composite pressure vessels under drop impact: comparative analysis of cylindrical, spherical and toroidal geometries. Mechanics of Advanced Materials and Structures, 33(1), 2676187.

Jaber, M. (2025). Multi-objective particle swarm optimization of damping and global torsional stiffness in composite vehicle structures. ICSRS 2025, IEEE, 315-320.