Bioinformatician | Bio Medical Data Science | Healthcare & ML

B.Sc. in Bioinformatics @ Egypt-Japan University of Science & Technology (E-JUST)

I work at the intersection of biomedical signals, genomic data, and deep learning — combining EEG/ECG analysis, RNA-Seq differential expression, and medical imaging models to build tools for healthcare and neuroscience.

• Brain-Computer Interfaces (BCI) — EEG-based assistive motion systems, signal preprocessing, feature extraction, and real-time classification
• Bioinformatics — RNA-Seq differential gene expression pipelines, from raw counts to biological interpretation
• Medical Imaging & Healthcare ML — CNNs for diagnostic support, feature-selection optimization (GA/PSO) for clinical prediction
• Biomedical Signal Processing — multimodal EEG + ECG analysis for stress detection and biometric identification

• BCI Assistive Motion System (Graduation Project) — EEG-based BCI for assistive motion control: preprocessing, feature extraction, classification, real-time response
• SCDM — EEG-to-fNIRS Cross-Modal Generation — Reimplementation of the SCDM model for generating fNIRS signals from EEG in motor-imagery BCIs
• Stress Detection from EEG & ECG — Multimodal model to detect and quantify stress states for health monitoring
• EEG-Based Person Identification & Authentication — Deep learning for biometric identification using EEG as a secure biometric
• RNA-Seq Differential Expression — Arabidopsis thaliana Grafting — Differential expression analysis across genotype groups from RNA-Seq counts
• Automated Bone Fracture Detection — CNN model for fracture detection in medical images
• FEA of a Powered Lower-Limb Prosthesis — COMSOL Multiphysics simulation with comparative biomaterial selection
• Diabetes Prediction Optimization — GA vs. PSO feature selection with Random Forest & Logistic Regression

• Advanced Methodologies for Real-Time Non-Invasive Brain–Computer Interfaces: A Comprehensive Review — Author

Programming: Python · R · C++ · SQL · BioPython Biomedical Signals: EEG & ECG preprocessing, feature extraction, classification Machine Learning: Supervised & unsupervised learning, feature selection (GA/PSO), model evaluation Deep Learning: CNNs, RNNs/LSTMs for medical imaging & biosignals Bioinformatics: RNA-Seq & differential expression, sequence alignment, structural bioinformatics Simulation: COMSOL Multiphysics (thermal/mechanical FEA) Data & Visualization: Power BI, Excel, Pandas, PyMOL, VMD

• 📧 moustafaabdullah47@gmail.com
• 💼 LinkedIn
• 📍 Alexandria, Egypt