Teaching
I am or was involved in teaching the following courses.
- Seminar on Internet of Things (Bachelor/Master)
- 2024 - 2025
- Internet of Things and Wireless Networks (Bachelor/Master)
- 2021, 2023, 2024
- TinyML / Edge AI (Bachelor/Master)
- 2023 - 2025
- Computer Networks (Bachelor)
- 2018, 2024, 2025
- IT-Security (Bachelor)
- Lab Course with focus on self-studying
- 2019 - 2023
- Development of Embedded and Real-Time Systems (Bachelor)
- 2018, 2019
Supervison
Theses
- Unsupervised Learning Methods for Bird Activity Recognition (Master, 2024)
- Preprocessing and Uncertainty Calibration of Embedded Neural Networks for Bird Activity Recognition (Bachelor, 2024)
- Entwicklung und Evaluation von Lokalisierungssystemen mit 2,4 GHz LoRa (Bachelor, 2023)
- English Translation: Design and Evaluation of Localization Systems using 2.4GHz LoRa
- Analysis of Airplay 2 Audio: A Partial Implementation and Protocol Description (Bachelor, 2023)
- LoRa for Remote Access and Administration: A Practicability Study (Master, 2023)
- An Experimental Comparison of Wide-Area Time-Synchronization Methods for IoT Applications (Bachelor, 2023)
- Location Fingerprinting with Bluetooth Low Energy: A Supervised Learning Approach (Master, 2023)
- AI-Driven Precise Location Fingerprinting from Bluetooth Low Energy Transmissions (Master, 2023)
- Design and Evaluation of an Indoor Localization System using 2.4GHz LoRa (Master, 2022)
- Design and Evaluation of Embedded Neural Network Models for Bird Activity Recognition Based on Accelerometer Data (Master, 2022)
- Design and Evaluation of a Fully Wireless Testbed Architecture (Bachelor, 2022)
- Design and Evaluation of a Neighbor Data Collection and Schedule Distribution System for Centrally Scheduled TSCH (Master, 2022)
- 2.4 GHz LoRa in Smart Buildings: Driver Development for Zephyr OS and Comparison with BLE (Bachelor, 2021)
- Design and Implementation of a Non-Intrusive Distributed Tracing System for Wireless Embedded Networks (Master, 2021)
- Environment Detection via Bluetooth Low Energy on Embedded Devices using Machine Learning (Bachelor, 2021)
- Development and Deployment of a Mobile Evaluation System for LoRa PHY (Bachelor, 2021)
- Design and Implementation of GPIO Sensing for Minimally Intrusive Tracing of Wireless Sensor Networks (Bachelor, 2020)
- Design and Evaluation of Deadline-Based Scheduling Algorithms for the Industrial Internet of Things (Bachelor, 2020)
Projects
- Are We IoT Yet? - The state of the Internet of Things in Rust. (Master Project, 2023)
- Environment Detection via Bluetooth Low Energy using Machine Learning (Master Project, 2020)
- Embedded Environment Detection via Bluetooth Low Energy (Master Project, 2020)
- A Neighbor Data Collection System for the Cetralized TSCH Scheduler Master (Master Project, 2020)
- Reprogrammable Wireless Ad-Hoc Client-Server Solution for Geofencing Applications (Master Project, 2018/2019)
- Using Bluetooth Low Energy Transmission to Enable Geofencing for Dynamic Objects (Master Project, 2018/2019)
- Implementation of Explicit Release over Simulated Network (Master Project, 2018/2019)
- Geofence-based Risk Prevention Approach for the Optimization of a V2I Active Safety System (Master Project, 2017/2018)