mariammaher550/mariammaher550

🚀 Projects

• Implementation of Multi-Reservoir Echo State Network (MRESN) with a Convolutional Neural Network (CNN) Feature Extraction Layer for Forecasting
• Toxic Comment Classifier using Naive Bayes, Logistic Regression, CNN, LSTM and BERT
• Object Detection using Faster RCNN and YOLO
• Object Segmentation using Faster RCNN and YOLO
• Music Generation using Genetic Algorithm
• Book Recommendation System Pipeline
• Investigation of Perturbing any Object within a Scenario For AV using Adversarial Attacks

📚 Papers Read

I'm passionate about learning and have read some papers in various AI domains. Here's a list of papers that I found particulary interesting:

• On Adversarial Attacks and Robustness.
  • Adversarial Examples are not Bugs, they are Features
  • Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
• On Safety Critical Scenario Generation for Autonomous Vehicles
  • KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients -Generating Adversarial Driving Scenarios in High-Fidelity Simulators -AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
  • Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
  • PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
  • Fooling Detection Alone is not Enough: Adversarial Attach Against Multiple Object Tracking
  • Attacking Vision-based Perception in End-to-End Autonomous Driving Models
  • Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing

🎓 University Courses

• Reinforcement Learning
• Machine Learning
• Natural Language Processing
• Information Retrieval
• Distributed System
• Dignals and Systems
• Data Structure and Algorithms
• Game Theory

💻 Tech Stack

• Programming Languages: Python, Java, C/C++.
• Frameworks: PyTorch, TensorFlow, scikit-learn, OpenCV, Matplotlib, PySpark.
• Databases: MongoDB, PostgreSQL, Neo4j.
• Big Data: Hadoop, Hive, MapReduce.

📫 Contact

You can reach me via:

• Email: mariammaher550@gmail.com
• LinkedIn: Mariam Abuelfotouh
• Telegram: @mariammaher01

Thanks for visiting my GitHub profile! 😄