Daniel Ahlers received his BSc and MSc degrees in electrical engineering at the Hamburg University of Technology through a dual study program. In the field of communication engineering he gained experienced knowledge in audio/video transmission and multimedia signal processing.
Since 2019 he has been a research fellow in the department of signal processing and communication at the Helmut Schmidt University where he is focusing his research on multi object detection on video streams by using machine learning.
Research topics
- Object detection
- Dataset creation and analysis
- Machine Learning
Teaching
- Multimedia signal processing (exercise)
Supervised Theses
Roman Carillo – “Optimization of a convolutional neural network for multi-object detection”, master thesis
Michael Mötje – “Implementation of a low latency video codec for realtime transmission”, master thesis
Paul Knauth – “Creating a dataset with public camera streams for multi object detection in maritime environments”, bachelor thesis
Michael Mötje – “Simulation and analysis of image compression based on the JPEG standard”, student research project
Prathima Krishna Subramanian – “Analysis to accelerate image labeling using CNN based object detectors”, master thesis
Song Son Ha – “Study on real-time multi-object tracking on maritime video sequences”, master thesis
Song Son Ha – “Development and analysis of a convolutional neural network for classification of 2D ShapeNet images”, student research project
Publications
P. Bhattacharya, P. Nowak, D. Ahlers, U. Zölzer: “A Dataset of Infrared Images for Deep Learning based Drone Detection”, in 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Bangkok, Thailand, 8-10 November, 2023
D. Ahlers, P. Bhattacharya, P. Nowak, U. Zölzer: “Shore Livecams: A Maritime Dataset for Deep Learning based Object Detection”, in 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Bangkok, Thailand, 8-10 November, 2023
P. Bhattacharya, P. Nowak, D. Ahlers, M. Holters, U. Zölzer: “CNN based Drone Detection in Infrared Images”, in dtec. bw – Band 1, Hamburg, Germany, 2022
Digital Audio Signal Processing, 3rd Edition, Ch. 5, J. Wiley & Sons, 2022
Letzte Änderung: 13. November 2023