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.
- Object detection
- Dataset creation and analysis
- Machine Learning
- Multimedia signal processing (exercise)
Song Son Ha – “Development and analysis of a convolutional neural network for classification of 2D ShapeNet images”, student research project
Song Son Ha – “Study on real-time multi-object tracking on maritime video sequences”, master thesis
Prathima Krishna Subramanian – “Analysis to accelerate image labeling using CNN based object detectors”, master thesis
Michael Mötje – “Simulation and analysis of image compression based on the JPEG standard”, student research project
Letzte Änderung: 3. September 2021