Acamaro Cutcher
Team Lead
- Coordinates delivery across all sub-teams.
- Defines project architecture and execution priorities.
- Provides technical support across modeling, AI, and web work.
Portland State University - Capstone 2025-26
Meet the Wildfire Intelligence Team
Engineers and researchers combining atmospheric modeling, data systems, and AI to make wildfire prediction easier to understand and act on.
7Core Members
3Specializations
1Shared Mission
Project Sponsor and Faculty Mentor
Prof. Safa Mote
Guides the team on project direction, scientific rigor, and the bridge between research output and practical wildfire forecasting impact.
Bradley Chang
Website Developer and Data Acquisition
- Builds and maintains the capstone website experience.
- Documents forecast runs and model outputs for public viewing.
- Collects and organizes weather and fire perimeter datasets.
Hemu Babis
Website Developer and Data Acquisition
- Develops front-end pages for forecasts and technical documentation.
- Supports request-flow and data presentation improvements.
- Maintains clean storage and tracking for wildfire data assets.
Hassan Abdi
WRF-SFIRE Developer
- Configures and operates WRF-SFIRE wildfire-weather simulations.
- Generates high-fidelity physics-based data for AI training.
- Validates simulation output against observed wildfire behavior.
Matthew Tan
WRF-SFIRE Developer
- Runs wildfire and smoke forecasting experiments in WRF-SFIRE.
- Transforms model output into AI-ready training features.
- Checks data quality and consistency with reference observations.
Joel Garcia-Cervantes
Deep Learning (AI) Developer
- Builds data pipelines from WRF-SFIRE output to FourCastNet input.
- Trains and tunes AI models using HPC-generated wildfire datasets.
- Designs post-processing for integration with web visualizations.
Alvaro Bazan
Deep Learning (AI) Developer
- Builds robust training workflows for AI-based fire weather prediction.
- Fine-tunes FourCastNet on high-resolution simulated datasets.
- Connects AI outputs to user-facing forecast visualization systems.
Collaboration Drives The Platform
From physics-driven simulation to AI inference and web delivery, each contributor owns a critical layer of this wildfire forecasting system.