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Hi there!

🚀 About Me

🎓 My name is Fahmy Adan and I am a postgraduate research student @ Imperial College London passionate about artificial intelligence, robotics and autonomous vehicles.

📚 My research interests include but are not limited to MPC and MARL for control, Computer Vision, Robot Localisation and Mapping

🚗 I am the Team Manager of Imperial Driverless, a student-led autonomous racecar project competing annually in the Formula Student Artificial Intelligence competition.

🛠️ Skills

Languages

python javascript Matlab C++

Robotics Development

ROS CMake SETUPTOOLS

Hardware Acceleration

PyTorch TensorFlow JAX

🔗 Links

resume linked-in github gmail

Fahmy Adan 's Projects

av-ros-gym icon av-ros-gym

A CARLA environment for agent and scenario based Robotics and Machine Learning evaluation

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

facenet-pytorch icon facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

funrl icon funrl

Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge

hello_docker icon hello_docker

A simple working example of running a multi-container application with docker.

highwayenv icon highwayenv

A minimalist environment for decision-making in autonomous driving

lagrange_website icon lagrange_website

A minimalist Jekyll theme for running a personal blog powered by Jekyll and GitHub Pages

saferl icon saferl

🚀 A fast safe reinforcement learning library in PyTorch

sb3 icon sb3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

sb3c icon sb3c

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

smarts icon smarts

Scalable Multi-Agent RL Training School for Autonomous Driving

vae icon vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

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