Guanzhou Ji
Assistant Teaching Professor,
Information and Software Engineering
Contact
- g.ji@northeastern.edu
- 401 Terry Avenue N, Suite 103
Seattle, WA 98109
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 physics-based simulation, leading to the development of digital applications for indoor virtual staging and interactive software systems.
Ji is on the technical committees of the Illuminating Engineering Society (IES) and the International Commission on Illumination (CIE), contributing to industry standards and imaging technologies. He served as a session chair for Computer Graphics at the International Symposium on Visual Computing (2025). Ji received the Student and Emerging Professionals Scholarship (2022) from the U.S. Department of Energy and the International Building Performance Simulation Association (IBPSA) –USA.
Education
PhD, Carnegie Mellon University
Teaching Interests
Application Engineering and Development, Program Structure and Algorithm, Semantic Intelligence in LLM, Master Thesis
Professional Affiliations
Illuminating Engineering Society (IES), Technical Committee
International Commission on Illumination (CIE), Technical Committee
Research Overview
Computer Graphics, Computational Photography, Physical Simulation
Department Research Areas
Selected Publications
Industry Standard:
Illuminating Engineering Society (IES), Recommended Practice: Lighting for Interior and Exterior Residential Environments, American National Standard, ISBN 978-0-87995-510-6, Jan 2026
Journal:
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.
Conference Proceedings:
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.
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.