Uzair Bin Amjad

Tool Development and Visualization Team • Developing web tools for real time pre-processing, analysis and visualization of European Power TSOs Big Data. • Converting raw data from Databases to dataframes containing geo-referenced energy information with localized timestamps. • Tools: Python (Numpy, Pandas, Plotly, Folium), MATLAB, NoSQL (MongoDB), VS Code, GitLab

Traffic Simulation and Virtual Testing Team • Topic: ML based Behavioral Model of different driver types at Inner-City Intersection using Trajectory Data. • Project Focus: Autonomous Driving, Big Data, Computer Vision, Map Localization, Behavior Modelling, Unsupervised Learning (PCA, Clustering), Reinforcement Learning (LSTM). • Tools: Python (GeoPandas, Keras, TensorFlow, Pytorch, Matplotlib), OpenDRIVE, Latex

Competence Center Machine Learning Rhine-Ruhr (ML2R) • Researched R scripts submitted to Kaggle competitions and comparing code pattern efficiency. • Wrote scripts to automatically parse codes for methods used to preprocess, extract features, train and test classification models. • Tools: R (dplyr, ggplot2), Python (Pandas, Plotnine), Atlassian Bitbucket

Grade: 1.98 Core Subjects: Mobile Robot, Learning in Robotics, Computer Vision, Mathematical Simulation Techniques, Cyber-Physical Systems Project: Automated Driving • Automated Driving using CARLA Simulator, aimed at Interaction-Aware trajectory planning, control and HD map matching. • Task: HD Map Matching using GNSS information and Lanelet2 • Tools: CARLA, Python, ROS, Lanelet2

Grade: 1.1 Core Subjects: Digital Control Systems, Embedded Systems, Object Oriented Programming, Engineering Project Management Thesis: SSVEP based User Interface • SSVEP (Steady state visually evoked potential) based UI aimed to use a smart device just by looking at its screen by online analysis of EEG Data. • Project Focus: Signal Processing, Big Data Analytics, Statistical Classification