Qixing Huang
Associate Professor @ Department of Computer Science, University of Texas at Austin
Qixing’s research spans computer vision, computer graphics, and machine learning, with a focus on developing 3D generative models that integrate geometric, physical, and topological priors. His recent work on structure-aware generation and reconstruction directly supports the reconstruction and simulation of heritage sites from incomplete 3D data, a key challenge in spatial intelligence for cultural heritage.
Iro Armeni
Assistant Professor @ Civil and Environmental Engineering, Stanford University
Iro leads pioneering interdisciplinary research linking architecture, civil engineering, and computer vision. Her work on data-driven understanding and simulation of built environments, scene graphs, and mixed-reality modeling provides the foundation for digitally reconstructing and preserving cultural heritage spaces, while enabling sustainable and human-centric design.
Hadar Averbuch-Elor
Assistant Professor @ Computer Science Department, Cornell University & Cornell Tech
Hadar’s research explores multimodal computer vision and graphics, combining 2D imagery, 3D geometry, and language for spatial understanding. Her recent work on geometry-aware visual generation and multimodal reasoning offers powerful tools for semantic reconstruction, storytelling, and immersive visualization of cultural heritage sites.