iFire AI: AI-powered Wildfire Simulation and 3D Immersive Visualisation

Huang, Renhao; Clemente, Lara; Flores Gonzalez, Mario; Song, Yang; Drummond, Greg; Herrera, Gonzalo; Sharples, Jason; Ostwald, Michael; Pagnucco, Maurice; Asadipour, Ali; Del Favero, Dennis

doi:10.24963/ijcai.2026/804

iFire AI: AI-powered Wildfire Simulation and 3D Immersive Visualisation

Renhao Huang, Lara Clemente, Mario Flores Gonzalez, Yang Song, Greg Drummond, Gonzalo Herrera, Jason Sharples, Michael Ostwald, Maurice Pagnucco, Ali Asadipour, Dennis Del Favero

Download BibTeX Cite

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. AI and Social Good. Pages 7229-7238.

https://doi.org/10.24963/ijcai.2026/804

Keywords

Humans and AI: Humans and AI
Multidisciplinary Topics and Applications: Multidisciplinary Topics and Applications
Machine Learning: Machine Learning

Abstract

Wildfires, especially extreme wildfires, can cause prolonged damage to natural environments, human lives and global economies. To mitigate these impacts, enhancing wildfire preparedness is critical. This research proposal introduces iFire AI, a collaborative project to develop a world-leading 3D immersive visualisation system that enables users to experience and understand extreme wildfire scenarios. iFire AI utilises our advanced 360-degree immersive system AVIE, which visualises interactive landscapes and wildfire events enhanced by AI techniques. Firstly, we propose a deep learning model for wildfire behaviour modelling that generates minute-resolution wildfire progression information for immersive visualisation, supported by a Sim2Real pipeline that integrates simulated and real-world data to address data insufficiency and enhance model development and evaluation. We also explore 3D tree reconstruction using 3D Gaussian splatting, creating visually realistic and computationally efficient tree models. iFire AI can enhance users' risk perception, situational awareness and collaborative decision-making, and thereby reduce risks due to extreme wildfires and promote sustainable development.

Renhao Huang, Lara Clemente, Mario Flores Gonzalez, Yang Song, Greg Drummond, Gonzalo Herrera, Jason Sharples, Michael Ostwald, Maurice Pagnucco, Ali Asadipour, and Dennis Del Favero. 2026. iFire AI: AI-powered Wildfire Simulation and 3D Immersive Visualisation. In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 7229–7238. https://doi.org/10.24963/ijcai.2026/804

@inproceedings{ijcai2026p804,
  title     = {iFire AI: AI-powered Wildfire Simulation and 3D Immersive Visualisation},
  author    = {Huang, Renhao and Clemente, Lara and Flores Gonzalez, Mario and Song, Yang and Drummond, Greg and Herrera, Gonzalo and Sharples, Jason and Ostwald, Michael and Pagnucco, Maurice and Asadipour, Ali and Del Favero, Dennis},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {7229--7238},
  year      = {2026},
  month     = {8},
  note      = {AI and Social Good},
  doi       = {10.24963/ijcai.2026/804},
  url       = {https://doi.org/10.24963/ijcai.2026/804},
}

TY  - CPAPER
TI  - iFire AI: AI-powered Wildfire Simulation and 3D Immersive Visualisation
AU  - Huang, Renhao
AU  - Clemente, Lara
AU  - Flores Gonzalez, Mario
AU  - Song, Yang
AU  - Drummond, Greg
AU  - Herrera, Gonzalo
AU  - Sharples, Jason
AU  - Ostwald, Michael
AU  - Pagnucco, Maurice
AU  - Asadipour, Ali
AU  - Del Favero, Dennis
T2  - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2026
SP  - 7229
EP  - 7238
DO  - 10.24963/ijcai.2026/804
UR  - https://doi.org/10.24963/ijcai.2026/804
ER  -