Career Profile
I am a doctoral researcher at the Chair of Digital Signal Processing and Circuit Technology at TU Chemnitz, having joined after graduating from TU Dresden. My research focuses on applying computer vision and machine learning technologies to various industrial and social domains, including rehabilitation, active assisted living, autonomous driving, and railway safety. I actively participate in teaching activities, instructing courses on basic and advanced computer vision, 3D vision, Python for data scientists, and deep learning for computer vision. My Ph.D. thesis explores real-time human detection, pose estimation, and activity recognition using top-view omnidirectional imaging with fisheye cameras.
Experiences
The topic of my doctoral thesis is “Realtime Person Detection, Pose Estimation and Human Activity Recognition in Indoor Omnidirectional Scenes with Deep Neural Networks”. In addition to algorithm development, an important aspect of the topic is data generation, especially synthetic data generation using game engine (Unity), NeRF and 3DGS. Besides my doctoral research, I am engaged in other research activities:
- Scientific projects with the focus on computer vision and machine learning.
- Research funding application.
- Student research thesis instruction.
- Computer Vision I: lecturing chapters on machine learning and tracking, guiding assignments, exam evaluation.
- Computer Vision II: lecturing chapters on deep learning, camera geometry and 3D vision, guiding assignments, exam evaluation.
- Programming and Data Analysis: co-designing module structure, lecturing on python language, guiding assignments and projects, exam evaluation.
- Conceptual design of a polymer reaction system