Hi there 👋

Welcome to my profile. I'm an engineer passionate about robotics, autonomous vehicles, and artificial intelligence.

My experience and knowledge spans the following topics:

• Modeling and Control

• Orbital Mechanics (sample)

• Robotics (ROS, Python, C++, IoT)

  1. Multi-robot SLAM
  2. Robot voice command

• Self Driving Vehicles

  1. State Estimation: EKF, UKF
  2. Control: PID, MPC, state-feedback, geometric control, optimal control
  3. Mission Planning: Path planning, behavioral planning
  4. Coursera Specialization: Self-Driving Cars:
     1. Introduction to Self-Driving Cars
     2. State Estimation and Sensor Fusion
     3. Visual Perception for Self-Driving Cars
     4. Motion Planning for Self-Driving Cars
  5. Reinforcement Learning
  6. Neural Networks and Deep Learning

• Machine Learning (PyTorch, Tensorflow, Keras)

  1. Multi-Layer Perceptrons
  2. Convolutional Neural Networks
  3. Natural Language Processing
  4. Generative Adversarial Networks (GANs)
  5. Deep Reinforcement Learning

• Reinforcement Learning

  1. Q-Learning & SARSA
  2. Deep Reinforcement Learning: DQN, DDPG, etc...
  3. Continual Learning and Catastrophic Forgetting on Atari 2600 using DQN.
  4. Documenting my journey to mastering Reinforcement Learning here (recent)

• I’m currently learning more about Reinforcement Learning and DQL and looking forward to applying them to ground and aerial robotics!

Educational Background:

• MASc in Computer Engineering from The University of Waterloo
• BSc in Aerospace Engineering from Zewail City of Science and Technology

Reach me on:

1. LinkedIn Profile: mahmoud-nasr-
2. 📧 mahmoudmnasr95@gmail.com