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Hebah Almorad

@hebahalmorad

I build evidence-aware AI systems and probabilistic machine learning models.

Germany
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What I'm looking for

I'm seeking an entry-level engineering opportunity where I can apply AI and machine learning, probabilistic modeling, signal processing, and rigorous technical documentation to evidence-based engineering decisions.

I'm completing an M.Sc. in Cognitive Science focused on AI and machine learning at Ruhr University Bochum, where my thesis evaluates Bayesian transfer-learning methods using accuracy, calibration, uncertainty, runtime, and memory.

At Ruhr University Bochum, I built Python analytical models and selected a NumPyro implementation that reduced measured runtime to 1.6–1.8 seconds. My work also spans MATLAB-based satellite and UAV modeling at KAUST, a CubeSat Digital Twin, and BayesMind, an end-to-end evidence-aware document system.

Experience

Work history, roles, and key accomplishments

KAUST logoKA

Visiting Student Researcher

KAUST

May 2019 - Apr 2021 (1 year 11 months)

Modeled satellite and UAV systems in MATLAB, evaluating SNR, link budgets, and coverage. Converted electrical stress data into a statistical lifetime model for OLED components, contributing to five peer-reviewed publications.

Education

Degrees, certifications, and relevant coursework

Ruhr University Bochum logoRB

Ruhr University Bochum

Master of Science, Cognitive Science - AI & Machine Learning

Pursuing an M.Sc. in Cognitive Science with a focus on AI and machine learning, expected to complete in October 2026. Thesis applies Bayesian inference methods for transfer learning with informative priors.

Effat University logoEU

Effat University

Bachelor of Science, Electrical and Computer Engineering

Grade: 3.98/4.00

Completed a B.Sc. in Electrical and Computer Engineering with a GPA of 3.98/4.00, including a minor in Communication and Signal Processing. Thesis designed a Digital Twin for CubeSats and mega-constellations.

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