Dekai Zhu

Dekai Zhu is a PhD researcher at the Chair of Computer Aided Medical Procedures (Technical University of Munich) and collaborates with Siemens AG. His work bridges computer vision, medical applications, and autonomous driving technologies.

• Education
  • PhD in Technical University of Munich (2023–present)
  • Master in Technical University of Munich (2023)
  • Bachelor in Tongji University (2020)
• Research Interests
  • Diffusion Models for 3D data
  • 3D Computer Vision (Point Clouds, B-Rep)
  • Autonomous Driving systems
  • Medical Image Analysis integration

  His publications focus on trajectory prediction and control for autonomous vehicles at intersections, leveraging state and intention information instead of past trajectories. Notable contributions include methods for message passing between vehicle nodes and comparative analysis of offline vs. online evaluation metrics. His work demonstrates adaptability across simulation platforms like SUMO and CARLA.

  Supervision & Collaboration

  • Supervised Master’s student Yixuan Hu on generative data augmentation for autonomous driving projects
  • Collaborated with Qadeer Khan and Daniel Cremers on multi-agent control systems

  Software & Tools

  • Developed open-source implementation for multi-vehicle trajectory prediction
  • Integrated SUMO-CARLA co-simulation frameworks