Guanzhou Ji

Assistant Teaching Professor,  Multidisciplinary Graduate Engineering Programs

Contact

Related Links

Research Focus

Computer Graphics, Computational Photography, Physical Simulation

About

Guanzhou Ji is an Assistant Teaching Professor at Northeastern University – Seattle, where he teaches engineering applications and data structures in the College of Engineering. He earned his Ph.D. from Carnegie Mellon University and later served as a Research Associate at the Robotics Institute, School of Computer Science. At the Illumination and Imaging Laboratory, his research focuses on 3D graphics, image-based rendering, and physical simulation, leading to the development of digital applications for indoor virtual staging and interactive software systems. He serves on the technical committees of the Illuminating Engineering Society (IES) and the International Commission on Illumination (CIE), where he contributes to industry standards and imaging technologies.

Education

PhD, Carnegie Mellon University

Teaching Interests

Application Engineering and Development, Program Structure and Algorithm

Professional Affiliations

Illuminating Engineering Society (IES)

International Commission on Illumination (CIE)

Research Overview

Computer Graphics, Computational Photography, Physical Simulation

Selected Publications

  • Ji, Guanzhou,  Sriram Narayanan, Azadeh Sawyer, and Srinivasa Narasimhan, “Indoor Heat Estimation from a Single Visible-Light Panorama.” In International Symposium on Visual Computing, 2025.
  • Li, Zhuorui, Jinzhao Tian, Guanzhou Ji, Tiffany Cheng, Vivian Loftness, and Xu Han. “Reinforcement Learning-Enabled Adaptive Control for Climate-Responsive Kinetic Building Facades.” Buildings (2075-5309) 15, no. 16 (2025).
  • Ji, Guanzhou, Azadeh Sawyer, and Srinivasa Narasimhan. “Virtual home staging and relighting from a single panorama under natural illumination.” Machine Vision and Applications 35, no. 4 (2024): 98.
  • Ji, Guanzhou, Azadeh Sawyer, and Srinivasa Narasimhan. “Virtual home staging: Inverse rendering and editing an indoor panorama under natural illumination.” In International Symposium on Visual Computing, pp. 329-342. Cham: Springer Nature Switzerland, 2023.