Welcome to my GitHub! I'm Yassmin Abdelaziz, a graduate researcher working at the intersection of AI, machine learning, and biomedical engineering, with a focus on using computational methods to improve human health.

I'm currently pursuing an MSc in Computing Science at the University of Alberta (Sep 2025 – Present, GPA 3.7), building on a B.Eng. in Systems and Biomedical Engineering from Cairo University (Sep 2020 – Jul 2025, GPA 3.7). My work spans medical image analysis, machine learning, reinforcement learning, and signal processing, shaped by hands-on experience in clinical imaging environments.

• M.Sc., Computing Science — University of Alberta (Sep 2025 – Present)
• B.Eng., Systems and Biomedical Engineering — Cairo University (Sep 2020 – Jul 2025)

• Biomedical Engineering Intern – Siemens Healthineers (Jul–Sep 2024): Maintenance, calibration, and troubleshooting of MRI systems, ensuring compliance with industry standards.
• Human Performance Accelerator Lab Trainee – NASA Space Center Houston (Apr 2024): Worked with astronauts, scientists, and industry experts on methodologies for optimizing human performance and astronaut training.
• Maintenance Engineering Intern – AEO (Arabic Engineering Office) (Aug 2023): Maintenance of MRI, ultrasound, and CT systems.

• Data Science / ML: Reinforcement Learning (TD, Monte Carlo, Sarsa, Q-Learning, Dyna, Policy Gradient, Actor-Critic), Deep Learning, NLP, Statistical Analysis, Predictive Modeling, Feature Engineering
• Programming: Python, C++, MATLAB, C
• Visualization: Matplotlib, Power BI, VTK, Blender, OpenGL
• Neuroscience: FSL, Neuroanatomy, ROI Analysis
• Computer Vision: OpenCV, Object Detection, Segmentation, Feature Extraction
• Web: HTML, CSS, JavaScript, React, Next.js
• Backend: SQL, Databases
• Embedded Systems: RTOS, AUTOSAR, ARM, PX4, Embedded C, SPI/I2C/UART
• Frameworks: TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy
• DevOps: Docker, CI/CD
• Simulation: Proteus, Verilog, ModelSim, GSEA
• Other: PyQt, Ubuntu, Bash, Git

Integrates blood pressure monitors, glucose meters, pulse oximeters, ECGs, and stethoscopes into a centralized platform that uses machine learning to predict emergency cases before they occur. Built with React/Next.js on the front end and Nest.js + PostgreSQL on the back end, with a focus on HIPAA compliance and proactive healthcare management.

A dual-mode passcode system combining voice-fingerprint recognition and spectrogram analysis, built with Python, TensorFlow, and PyQt5, with encryption and anti-spoofing measures.

Gene expression analysis in Lung Squamous Cell Carcinoma (LUSC) and Kidney Renal Clear Cell Carcinoma (KIRC) using Python, Pandas, SciPy, and Matplotlib to identify significant gene alterations and potential therapeutic targets.

A signal-processing application featuring zero-pole placement and dynamic frequency-response visualization, built with PyQt, SciPy, NumPy, and Matplotlib.

A desktop application for image processing and face recognition, including filtering, edge detection, histogram analysis, unsupervised segmentation (K-means, region growing), and PCA/Eigenface-based recognition.

Neural network and logistic regression models for predicting obesity-related disease risk, paired with a personalized diet and exercise app built with Python, Flutter, and Flask.

Implementation of the Flanker Task for measuring attention and response inhibition, with fMRI data analysis of brain activity during congruent and incongruent stimuli.

A deep learning (Bidirectional LSTM) web application for classifying mental states from EEG signals, featuring real-time actuator control and visualization of user intentions.

• Reinforcement Learning Specialization — University of Alberta (58 hrs)
• Google Data Analyst Specialist Track — Digital Egyptian Pioneers Initiative (DEPI) (54 hrs)
• Medical Equipment Calibration — Al-Asema Hospital & Cairo University Medical Equipment Calibration Lab (60 hrs)
• AUTOSAR & Embedded Systems Summer Course — Siemens (72 hrs)

• US Embassy Egyptian Young Ambassador — special visit to NASA Headquarters and NASA Space Center as part of Egyptian-American space collaboration
• "Best Use of Arts" & "Global Nominee" — NASA Space Apps Cairo 2023
• Competition Volunteer — NASA Space Apps Cairo 2024
• 8th Undergraduate Engineering Mathematics Research Day Organizer — Training Center for Career Development
• 27th Job Fair Organizer — Faculty of Engineering, Cairo University
• Participant, 16th and 18th UGRF Researcher Competitions — Nile University

• Email: yassmen.sayed1212@gmail.com
• LinkedIn: yasminaziz2000

Thanks for stopping by! Feel free to explore the repos and reach out if you'd like to collaborate or chat about research.