Faezeh Soleimani Vostikolaei

Faezeh Soleimani Vostikolaei

Postdoctoral Fellow • Project Technical Leader

Postdoctoral researcher leading ASIL's LoD2 building modeling pipeline, with focus on bimodal segmentation and graph neural networks for roof component extraction.

Interests

LoD2 Building Reconstruction Multimodal Data Fusion Graph Neural Networks

Education

PhD in Geomatics Engineering
University of New Brunswick • 2024

Connect

Faezeh is a Postdoctoral Fellow at ASIL and serves as Project Technical Leader on the lab’s LoD2 building modeling initiatives. Her research develops automated pipelines for reconstructing detailed 3D building models from aerial imagery and LiDAR data, with recent contributions in bimodal segmentation and graph neural networks for roof component extraction.

Selected Publications

  • F. Soleimani Vostikolaei, S. Soofbaf, T. Moore, S. Jabari. Towards Roof Material Identification by Fusing Aerial and Street View Imagery. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2026.
  • F. Soleimani Vostikolaei, S. Jabari. Multimodal Multitask Semantic Segmentation for 3D Wireframe Modeling of Buildings. 45th CSRS, 2024.
  • F. Soleimani Vostikolaei, S. Jabari. Multimodal Building Footprint Extraction from Orthoimages and LiDAR Point Clouds Using Deep Learning Framework. IGARSS 2024.
  • F. Soleimani Vostikolaei, S. Jabari. Large-Scale LoD2 Building Modeling Using Deep Multimodal Feature Fusion. Canadian Journal of Remote Sensing, 49(1), 2023.