That wraps up Day 2 of #2025AIinFEsummit! No live coverage tomorrow because Day 3 is dedicated to workshops. Thanks for following along!
Last session of the day! A panel: Is it possible to overcome trust issues with AI? Panelists are Xinyan Huang (HKPU), Robin Zevotek (NFPA), Ben Rogers (CAL FIRE), and Kevin Sehlmeyer (Michigan State Fire Marshal).
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Next up is M. Hamed Mozaffari from National Research Council Canada to talk about flashover detection and prediction using computer vision and #AI.
#2025AIinFEsummit #firengineering #firesafety #fireAI
Next up is Prof. Xinyan Huang from Hong Kong Polytechnic University to share his work on #AI Applications in #SmartFirefighting.
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Good afternoon! We are hearing from Asst Chief Chris Bachman from Contra Costa County Fire about how his department is using tech and #AI in their work.
#2025AIinFEsummit #fireAI #fireservice
We have another keynote! Chief Daniel Berlant, #CALFIRE State Fire Marshal is here to talk about CAL FIRE's efforts for #wildfire preparedness.
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Time for another panel! This one is about where #FireProtectionEngineering will be in 10 years as AI continues to integrate into the field. Panelists are Peter Senez, Derek White, Corey Kinsman, Chris Lautenberger, Qianru Guo, Ralf Bruynninckx.
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Next we will hear from David Flack of Cardinal Health on AI and Property Loss Control in Warehouses.
#2025AIinFEsummit #fireAI #fireprotection
After a perfectly timed lunch, we are hearing from Jonathan Hodges on the Verification and Validation of AI Systems for Digitalized DIOM of #FireProtection Systems.
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Our first panel of the day is on structural/wildfire modeling applications in #California. On the panel are Guillermo Rein, Dave Winnacker, Michael Gollner, Mike Peterson, and Nima Masoudvaziri, representing research, insurance, and the fire service.
#2025AIinFEsummit #fireAI #wildfire #WUI
Qingsheng Samuel Wang from Texas A&M is going to tell us about his work on #AI prediction of #flammability and flammable dispersion of a variety of chemical mixtures.
#2025AIinFEsummit #fireAI
Up next is Michael Gollner to talk to us about #wildfire modeling. The situation is urgent to better protect people and structures from wildfire. But modeling is difficult and collecting data is tough because you can't get much data during the disaster.
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Our first speaker today is Guillermo Rein (Imperial College Longdon) who will be telling us about trends in the #fire literature on #AI.
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Good morning! Day 2 of the #2025AIinFEsummit is getting started. Amanda Kimball from NFPA Research Foundation is recapping Day 1 for us.
What are we missing today that will allow us to take full advantage of #AI in the future?
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Our last panel of the day will cover cover challenges and needs of shared data and databases for use with AI models and tools.
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Up next is Shuna Ni, also from UMD, who is using AI for her fire forensics work, specifically fire pattern classification.
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If you're just joining, we're coming to you live from the #2025AIinFEsummit, talking all about #firetech and #fireAI for all aspects of fire protection! Follow along for insights and highlights from the Summit. View the full program at www.sfpe.org/2025aisummit...
The wildfire modeling field is data-poor, but there is a lot of potential. (And work to be done.)
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Ali Tohidi is now speaking on data for wildfire studies.
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FM does a lot of large scale fire tests. What if AI could help cut down on the number of tests, substituting them with modeling?
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After a brief break, we are back! Jaap de Vries is talking about AI for resiliency and fire protection. He is bringing in the perspective of the insurance industry via his work at FM.
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#ArtificialIntelligence only works if users trust it! We need research in foundational theory, AI engineering, and Human-AI teaming for Trustworthy AI (DARPA).
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Another example is using AI to prioritize inspections in departments unable to keep up with inspections. #2025AIinFEsummit
Our opening panel is "What is AI, and where is it heading?", featuring Yoon Ko, Jonathan Hodges, Milosh Puchovsky, and Xilei Zhao. #2025AIinFEsummit
There are also some challenges to applying Machine Learning to wildfire. Unstructured data is one challenge. Early ML had sparse data sets. #2025AIinFESummit
Our next keynote is from Matthias Ihme, PhD, Professor of Mechanical Engineering and of Photon Science, and PI at the Stanford PULSE Institute, Stanford University. He will be talking about machine learning for wildfires.
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It's incredible what can be achieved with the aid of open science and open data! #2025AIinFEsummit
When you have the data, you can then use AI to... condition data and improve model accuracy, e.g. to make it 900x more detailed. #2025AIinFEsummit
What can we do with the Commons data? You can develop data dashboards and visualization like wxmap.sdsc.edu or interagencytrackingsystem.org
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