114 Teams

Fire Research and Innovation

Goals

Develop innovative tools and strategies to enhance fire monitoring, forecasting, and management of related challenges. This includes creating advanced data products, predictive models, and integrated systems that combine real-time observations with long-term projections. Efforts will focus on improving decision-making through customized solutions, optimizing operational responses, and assessing the effectiveness of prevention and mitigation measures. Additionally, the team will strengthen collaboration among stakeholders, promote education and training, and increase public awareness through outreach initiatives, ensuring a comprehensive approach to preparedness and resilience.

Issues Involved or Addressed

Wildfire risk in the Southern United States is a growing concern, yet it receives far less public attention compared to the Western states. While the South experiences frequent wildfire occurrences—often fueled by dense vegetation, extended droughts, and human activity—public awareness and preparedness remain significantly weaker. This lack of awareness translates into limited community engagement in prevention strategies, inadequate understanding of evacuation protocols, and insufficient investment in resilience measures. The cultural perception that wildfires are primarily a Western problem further exacerbates this gap, leaving Southern communities vulnerable to escalating risks.

Climate change compounds these challenges in the South more severely than in many other regions. Rising temperatures, prolonged heatwaves, and shifting precipitation patterns are increasing the likelihood of large, fast-moving fires. Unlike the West, where mountainous terrain and dry conditions dominate, the South faces unique vulnerabilities: extensive forested areas, high humidity that can mask fire danger, and a mix of rural and urban development that complicates response efforts. These factors create a dangerous combination—fires that ignite quickly, spread unpredictably, and threaten both ecosystems and densely populated areas.

Technologically, the South lacks widespread adoption of advanced fire monitoring and forecasting systems. Current tools often fail to provide near-real-time data or localized predictions tailored to the region’s specific conditions. AI and machine learning applications for fire modeling remain underutilized, and integration of satellite imagery with ground-based observations is limited. This technological gap hinders proactive planning and rapid response, leaving emergency services reliant on outdated or fragmented information.

Social and organizational issues further intensify the problem. Fire management in the South involves multiple agencies and jurisdictions, but coordination is often inconsistent. Communities may not receive timely alerts or clear guidance, and disparities in resources between urban and rural areas create inequities in preparedness and recovery. Education and outreach programs are sparse, resulting in low public engagement and limited understanding of fire risks.

Addressing these issues requires a comprehensive approach that combines advanced technology, stakeholder collaboration, and community education. By improving monitoring and forecasting capabilities, fostering partnerships among organizations, and raising awareness through targeted outreach, the South can build resilience against the growing threat of wildfires in a changing climate.

Methods and Technologies

  • AI/machine learning
  • Statellite remote sensing
  • Numerical modeling
  • Data compilation and analysis
  • Risk analysis
  • Stakeholder engagement and community outreach

Majors Sought

Business: Finance

Computing: Algorithms, Combinatorics and Optimization, Analytics, Analytics – Online MS, Computer Science, Computer Science – Online MS, Human-Computer Interaction

Engineering: Aerospace Engineering, Analytics, Analytics – Online MS, Civil Engineering, Computer Engineering, Electrical Engineering, Environmental Engineering, Health Systems, Industrial Engineering, Machine Learning, Mechanical Engineering

Sciences: Applied Physics, Biology, Chemistry, Earth and Atmospheric Sciences, Mathematics, Physics, Statistics

Preferred Interests and Preparation

General STEM education

Advisors

Yuhang Wang
Yuhang Wang
yuhang.wang@eas.gatech.edu

Zachary Handlos
Earth and Atmospheric Sciences
zachary.handlos@eas.gatech.edu

Day, Time & Location

Full Team Meeting:
5:00 – 5:50 Tuesday
Van Leer 483B

Subteam meetings scheduled after classes begin.