🚀 Biomedical Engineering Student
🤖 AI for Healthcare Enthusiast
🧠 Machine Learning & Deep Learning Researcher

• 🎓 Systems & Biomedical Engineering student at Cairo University
• 💡 Strong interest in Artificial Intelligence for Healthcare, ML, and DL
• 🔬 Passionate about building intelligent systems that combine:
  • Mathematics , Programming , Biomedical knowledge
• 🧠 Experienced in:
  • Medical image analysis ,Disease modeling ,Predictive analytics
• 📊 Hands-on experience with:
  • Data preprocessing ,Model training , Evaluation and optimization
• 🧬 Special interests:
  • Physics-Informed Neural Networks (PINNs) , Medical imaging , AI-driven disease modeling
• 🌍 Open to:
  • Research collaborations
  • Internships
  • AI-driven healthcare projects
• 📫 Email:
  Send me an email

• ⚙️ Developed AI models for:
  • Healthcare , Environmental data ,Energy prediction
• 🧬 Published research on deep learning–based disease modeling using:
  • PINNs , DeepONets
• 📈 Built high-performance predictive models using:
  • XGBoost ,LSTM , CNNs ,Pinns
• 🖼️ Designed tools for:
  • Medical image visualization (DICOM & NIfTI) ,Image classification
• 💬 Strong communication and teamwork skills through:
  • Student activities ,Technical organizations
• 🌱 Continuous learner with formal training in:
  • Machine Learning
  • Artificial Intelligence

Languages & Tools

• Python, Java, C++
• TensorFlow, Keras, PyTorch
• XGBoost, YOLOv8
• OpenCV, PyQt5
• Arduino, Unity
• Git

• 🧠 Machine Learning
  • Regression, Classification
  • Imbalanced Data Handling
  • XGBoost
• 🔬 Deep Learning
  • CNNs, PINNs, DeepONet
  • TensorFlow, PyTorch
• 🖼️ Computer Vision
  • Medical imaging
  • DICOM / NIfTI
  • OpenCV, YOLOv8
• 📊 Data Processing
  • Feature engineering
  • Preprocessing
  • Models evaluation
• 🧮 Scientific Computing
  • Numerical methods
  • ODE-based disease modeling
• 🗣 Soft Skills
  • Leadership, Communication ,Problem solving ,Teamwork

• 🧬 Tuberculosis PINN Solver

  • Physics-Informed Neural Network for TB dynamics
  • ~7900% faster than RK4 with high accuracy

• 🌍 NASA Space Apps – Air Pollution Prediction

  • AI system using XGBoost
  • Short-term & long-term forecasting

• ⚡ Energy Consumption Prediction

  • XGBoost regression model
  • Household power usage prediction

• 🏦 Bank Offer Classification on Biased Data

  • Highly imbalanced dataset handling
  • Advanced tuning techniques

• 🖼️ Medical Image & Data Tools

  • DICOM & NIfTI Viewer (PyQt5)
  • Organ Classification:
    • Breast
    • Brain
    • Kidney
    • Lung
  • Endoscopy AI using Kvasir datasets

• 🩺 Biomedical Prototypes

  • ECG signal visualizer
  • Neonatal incubator
  • Volumetric infusion pump
  • (Arduino, python)

• 📄 A Deep Learning Approach for Modeling Tuberculosis with Differential Infectivity
  NILES Conference, 2025
  • Proposed a novel PINN & DeepONet architecture for TB modeling

• 🧠 Machine Learning Specialization – Stanford University (Andrew Ng)
• 🧠 Deep Learning Specialization – Stanford University (Andrew Ng)
• 🤖 Artificial Intelligence Diploma – NeuroTech
• 🔬 Research Training – National Institute of Laser Enhanced Sciences (NILES)

Currently seeking opportunities as:

• AI / Machine Learning Intern
• Biomedical AI Research Assistant
• AI Engineer (Healthcare & Medical Imaging)

Interested in roles that allow me to:

• Apply AI to real-world problems
• Work on research-driven ML/DL projects
• Contribute to open-source and academic research

• 🔗 GitHub: https://github.com/rowida117
• 🔗 LinkedIn: https://www.linkedin.com/in/rowida-mohamed-262a813
• 📫 Email:
  Send me an email