Saeede Barzegar Khalilsaraei

Saeedeh Barzegar Khalilsaraei

I studied Computer Engineering at the University of Guilan, Rasht, Iran. Then, I pursued a Master's degree in Artificial Intelligence at Kharazmi University, Tehran, Iran. Currently, I am affiliated with the Institute of Visual Computing while pursuing a PhD in a joint degree between Graz University of Technology and Nanyang Technological University. My research focuses on providing an accurate and coarse mathematical representation in the 2D/3D domain to improve the computer-aided design (CAD) process. Leveraging geometric deep learning techniques, I am developing models that are both computationally efficient and easy to manipulate, enabling designers to work more intuitively with complex data.


Selected Publication

  1. Saeedeh Barzegar Khalilsaraei and Ursula Augsdörfer. "An Inception-based Variational Autoencoder for Curves Generation and Interpolation." International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, 2025. [paper] [code]
  2. Alexander Komar, Saeedeh Barzegar Khalilsaraei and Ursula Augsdörfer. "2D B-spline Curve Reconstruction using Convolutional Auto-Encoders and Distance Fields." International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, 2025. [paper]
  3. Saeedeh Barzegar Khalilsaraei, Alexander Komar, Jianmin Zheng, and Ursula Augsdörfer. "InceptCurves: Curve Reconstruction Using an Inception Network." The Visual Computer, 2024, 1–11. Springer. [paper][code]
  4. Alexander Komar, Michael Kammerer, Saeedeh Barzegar Khalilsaraei, and Ursula Augsdörfer. "LatEd: A Geometric Latent Vector Editor." Vácval Skala-UNION Agency, 2024. [paper]
  5. Saeedeh Barzegar Khalilsaraei, Manoochehr Kelarestaghi, and Farshad Eshghi. "An Ensemble-Based Method for Vehicle Color Recognition." Open Science Index 16, vol. 23 (2022): 6. [paper]