Peyman Kahrizi
Student Assistant at the Montanuniversität Leoben
Short bio: Peyman Kahrizi joined CPS in 2026.
He is currently working on his Master’s thesis at Montanuniversität Leoben. His research focuses on real-time dense SLAM using RGB-D sensors, including dense 3D reconstruction with Gaussian Splatting, pose estimation using GICP, and semantic scene representation based on CLIP language embeddings. His work is implemented primarily in Python using Open3D.
Research Interests
- 3D Reconstruction
- SLAM
- Pose Estimation
- Machine Learning
Contact
Peyman Kahrizi
Student Assistant at the Chair of Cyber-Physical-Systems
Montanuniversität Leoben
Franz-Josef-Straße 18,
8700 Leoben, Austria