Kevin Malkow

Designed a learning environment for 60+ students with the latest Paparazzi UAV version and updated documentation. Led practical sessions focused on autonomous vision-based navigation of UAVs using C++, Python, OpenCV, PyTorch, and Git.

Created containerized Docker environment walkthroughs for 160+ students, then developed a Conda-based solution for better scalability and usability. Led practical sessions on Docker, Python, PyTorch, and Git for deep learning pipelines.

Mentored the IMAV 2024 team, sharing experiences and setting up a GitHub repository with CI/CD pipelines.

Created a data analysis pipeline to process 80,000 simulated traffic scenarios for an autonomous truck, leveraging AWS and SQL for data extraction, and using Python with Pandas to ensure consistency and generate insights via similarity and complexity metrics. Worked in an Agile environment using Jira and Git.

Developed a computer vision algorithm in Python and OpenCV for an autonomous UAV to track a rescue vehicle with a 1x1m ArUco marker at a 15-meter distance during IMAV 2023.

Led sessions for 20+ first-year students, providing guidance on signal processing concepts and MATLAB exercises. Assisted with code implementation and feedback on reports.

Improved velocity and steering control of an autonomous race car to accurately execute SLAM using MATLAB/Simulink.

Developed a safety framework with a GUI for autonomous vehicles using the V-Model in MATLAB/Simulink, ensuring compliance with ISO 26262 standards as part of the i-CAVE project.

Master Thesis: Sparse Synaptic Plasticity for Depth Estimation in Spiking Neural Networks Core Subjects: Computer Vision · Machine Learning · Deep Learning · Neuromorphic Computing · System Identification · Control System Design · Optimization Theory · Stochastic Modelling · Autonomous Unmanned Air Vehicles · Numerical Simulations

Bachelor Thesis: Modelling and Control of a Quadrotor UAV System using Non-Linear PID Methods (Grade: 9.0/10.0) Core Subjects: Computer Vision · Machine Learning · Deep Learning · Pat- tern Recognition · Semantic Interpretation · Data Fusion · Data Analysis · System Identification · Signal Processing · Control System Design · Op- timization Theory · Bayesian Theory · Embedded Systems · Finite State Machines · Vehicle Networking · Game Design