Über Omar
- Reduce simulation runtimes from hours to milliseconds
- Replace expensive numerical models with AI surrogates
- Enable real-time digital twins and virtual sensors
- Prototype and validate ML solutions for industrial deployment
- AI-based surrogate modeling for simulations (ML / DL / PINNs)
- Battery modeling (SPM, P2D-inspired, electrochemical surrogates)
- Physics-informed machine learning
- MATLAB & Python simulation automation
- Virtual sensor development
- Control-oriented ML models
- Proof-of-concept ML prototypes for engineering systems
Arabisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Verhandlungssicher
Projekt- und Berufserfahrung
- Mercedes Benz AG (DE)AI-Based Battery ModelingAUTOMOBILSEKTORApril 2025 - Dezember 2025 (8 Monate)Stuttgart, Deutschland
- Developed AI-driven surrogate models to emulate the electrochemical behavior of lithium-ion battery cells
- Combined deep learning with physics-based models (SPM, P2D-inspired constraints) to ensure interpretability and physical consistency
- Designed data pipelines and training workflows for simulation-derived datasets
- Enabled real-time capable predictions for digital twin and Battery Management System (BMS) applications
Impact:✔ Reduced simulation runtime from minutes/hours to milliseconds✔ Enabled fast parameter sweeps and online inference - SonyDeep Learning and Neural Nano-OpticsHIGHTECHJuni 2024 - November 2024 (5 Monate)Stuttgart, Deutschland
- Applied deep learning models to optimize metasurface-based optical systems
- Automated simulation-to-learning workflows for nano-optical structures
- Improved imaging quality for ultra-thin lenses with large aperture and wide field-of-view
Impact:✔ Higher optical performance with reduced physical thickness✔ Accelerated design iteration cycles - Siemens AGEmbedded AI & Industrial AutomationJuli 2023 - August 2023 (1 Monat)Kairo, Ägypten
- Developed Python-based computer vision and hand-gesture recognition using MediaPipe and OpenCV
- Integrated AI-driven control commands with SIMATIC S7-1500 PLCs and SINAMICS drive systems
- Worked with real-time software concepts and industrial automation pipelines
Impact:✔ Reliable human-machine interaction prototype✔ Demonstrated AI integration in industrial control systems
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Ausbildung und Abschlüsse
- M.Sc. in Computer SoftwareUniversität Stuttgart2025
- B.Sc. in Mechatronics EngineeringGerman University2023
Zertifizierungen
- SIEMENS Software DiplomaGained expertise in OS fundamentals and real-time software engineering, with proficiency in processing, synchronization, memory management, multithreading, and embedded systems development, including design, requirements, and project management.2023
- Mercedes-Benz AI HackathonDeveloped Virtual Temperature Sensor modeling2025
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