Guanzhou Ji
g.ji@northeastern.edu
I am an Assistant Teaching Professor in Software Engineering and Information Systems at Northeastern University – Seattle, College of Engineering, where I joined in August 2025. I currently teach foundamental programming, program structure and algorithm, and Large Language Models. I also explore Agentic AI, Multimodal Machine Learning, and 3D graphics.
I received my Ph.D. from Carnegie Mellon University in February 2025, focusing on indoor virtual staging, and later served as a Research Associate at the Robotics Institute, School of Computer Science. At the Illumination and Imaging Laboratory, my research focuses on 3D graphics, image-based rendering, and physics-based simulation, leading to the development of digital applications for scene understanding and interactive software systems.
I serve on the technical committees of the Illuminating Engineering Society (IES) and the International Commission on Illumination (CIE) and contribute to industry standards and imaging technologies. I am an Associate Editor for LEUKOS in VR/AR and machine learning (since April 2026). I served as session chair for Computer Graphics at the International Symposium on Visual Computing (2025) and was a recipient of the Student and Emerging Professionals Scholarship (2022) funded by the U.S. Department of Energy (DOE).
News
2026.06: I have been selected as one of the MDPI 2025 Top 1000 Reviewers.
2026.04: I joined as an Associate Editor (VR/AR and Machine Learning) for LEUKOS, the journal of the Illuminating Engineering Society.
2026.03: I joined the CIE Research Forum on glare database and Technical Committee on scalar and vectorial quantities computation.
2026.03: I moderated a webinar on game engines for real-time simulation and immersive visualization.
2026.02: I co-authored Recommended Practice: Lighting for Interior and Exterior Residential Environments, an American National Standard.
2026.02: I delivered a spotlight talk in the webinar Workflow and Tool Development.
2026.01: I joined Illuminating Engineering Society (IES) - Annual Conference Papers Subcommittee.
2025
2025.12: I served as a peer reviewer for the Special Report on Climate Change and Cities by the Intergovernmental Panel on Climate Change (IPCC), the United Nations body for assessing climate science.
2025.11: I served as the Session Chair for Computer Graphics and presented at the International Symposium on Visual Computing (ISVC) in Las Vegas.
2025.11: I moderated online webinar Data-Driven Design Communication.
2025.10: I contributed an AIAU online course on Energy Modeling.
2025.08: I hosted the hands-on workshop Omnidirectional HDR Photography and served as a session speaker at IES25 in Anaheim, CA.
2025.08: I contributed a feature article to LD+A: magazine of the Illuminating Engineering Society (IES).
2025.08: I contributed an AIAU course on High-Performance Design.
2025.06: I served as a session speaker at AIA25 in Boston.
2025.04: I joined the International Symposium on Visual Computing (ISVC) Program Committee.
2025.04: I contributed the article Project StaSIO: the beauty of data visualization, featured in the IBPSA Newsletter.
2025.04: I served as moderator for IBPSA + AIA BPKC Education Webinar.
2025.03: I served as a judge for the 2025 IES - Illumination Awards (IA).
2025.01: I served as moderator for the AIAU online course on Thermal Performance.
2024
2024.10: I joined the International Commission of Illumination (CIE) as a technical committee member.
2024.08: I gave a talk at the 22nd International Radiance Workshop in Salt Lake City, Utah.
2024.07: I joined as a technical committee member of the IES Technical Committee on Residential Lighting.
2024.07: I published a journal paper in Machine Vision and Applications.
2024.05: I co-taught the Impactful Data Visualization Workshop and moderated the Great Graphic Seminar at the SimBuild in Denver, CO.
Selected Publications
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Indoor Light and Heat Estimation from a Single PanoramaInternational Symposium on Visual Computing (ISVC), 2025 Oral Presentation
Guanzhou Ji, Sriram Narayanan, Azadeh Sawyer, Srinivasa G. Narasimhan
[paper] -
Reinforcement Learning-Enabled Adaptive ControlBuildings, 2025 Journal
Zhuorui Li, Jinzhao Tian, Guanzhou Ji, Tiffany Cheng, Vivian Loftness, Xu Han
[paper]
Dataset
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Fisheye-Panorama HDR DatasetCalibrated HDR dataset includes 137 indoor panoramas and paired real-time outdoor fisheye images.
[link]
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Indoor-Outdoor HDR Panorama DatasetCalibrated HDR dataset for 141 paired indoor-outdoor panoramas with furnished indoor scenes.
[link]
Outside Work
In my spare time, I like to explore golf courses, volunteer to teach teenagers golf at First Tee, and participate in equestrian activities. I used to be a college athlete (110/400m hurdles).