Kazi Kowshin Raihana

- Implementation of the Autoware pipeline for perception using LIDAR. - Perception & Sensor filter parameterization of the existing filters for the assigned driving environment. - Driving scenario simulation of recorded data via LIDAR sensor. - Tools and Skills: Autoware, ROS2, C++, Git, Ubuntu - Parameterization of the existing filters (e.g. ground filter) for the existing sensor setup and given driving environment - Test and validation of lidar perception based on measurement data and real journeys

Topic: Machine Learning Based Anomaly Detection System for in-vehicle Communication Networks

- Extract and Transform data for ML models. - Analysis of different machine learning and neural network models. - Synthetic data generation with Generative Adversarial Networks. - Support in preparing and programming ML workshops, application examples, publications, and lectures. - Participation in research projects in the field of cyberphysical production systems, - Research, evaluation, and preparation of information from Machine Learning, Artificial Intelligence, and process analysis.

- Independently teach 3 undergraduate labs. - Provide consultation to students for remaining contracted hours. - Assist in the preparation of laboratory manuals. - Invigilate examinations.

- Documentation of Telecommunication architecture - Digital service delivery process analysis - Version control evaluation - IT Glossary documenting