Mahmoud Mazri

Object detection, localisation & Tracking using following techniques: -Deep Learning -Reinforcement Learning -Autonomous Driving -Signal ptocessing & Radio Frequency-based -Visual observation

Drones’ Inter-operator cellular connectivity service by learning and prediction

Detection and Identification of drones for sensitive sites using: -Artificial Intelligence, -Convolutional Neural Networks (GoogleNet, ResNet, AlexNet, etc.) -Machine Learning Libraries: Tensorflow, Keras, Pytorch, Scikit-learn, Numpy. -Signal and Image Processing

Intelligent Spectrum Allocation: - Designed reinforcement learning (RL) algorithm for intelligent spectrum allocation to secondary unlicensed users with multiple criterion optimization Self-organized energy efficient network: - Development of RL algorithm for classical and combinatorial multi-armed framework - Game theory and Graph theory for decentralized network with local information flow to tackle massive networks - Hidden Markov Model (HMM) algorithm and multi-armed bandit learning with massive real HF measurement datasets to develop and test cognitive radio application for HF band. Skills & tools used: - Programming skills: Matlab & Simulink, Python, C++, Latex

Signal acquisition algorithm for Ultra Wide-band communication systems.