[FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi

[Angel Edward]

> Begin forwarded message:
> 
> From: Shuang Luan <sluan at cs.unm.edu>
> Subject: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi
> Date: November 9, 2020 at 10:10:31 AM MST
> To: colloquia at mail.cs.unm.edu, csgrad at cs.unm.edu, csundergrad at cs.unm.edu, CS Faculty mail list <csfaculty at cs.unm.edu>
> 
> UNM Computer Science Department Colloquium Series
> Wednesday, Nov 11, 2020
> 2:00-2:50 PM
> 
> Join via Zoom:
> https://unm.zoom.us/j/98715707842 <https://unm.zoom.us/j/98715707842>
> Meeting ID: 987 1570 7842
> Passcode: 9620277
> 
> Speaker:
> Kasra “Kaz” Manavi, PhD
> Director of Research and Communications, Simtable
> 
> Title:
> Realtime.Earth: Collective Intelligence from Distributed Imagery for Wildland Fire
> 
> Abstract:
> We are currently fighting “blind” on wildland fire incidents. Fire location and behavior intelligence is crucial during the initial phase of an incident, but reports of wildfire can be delayed for hours. To make matters worse, changes in fuel loads and forest composition along with increasing fire season lengths are resulting in larger and more intense fires. With recent events like the Tubbs, Atlas and Camp Fires, more and more catastrophic wildland fire events are causing significant structure damage and considerable numbers of lives are being lost. Real-time data streams relevant to wildland fire are diversifying e.g. increased activity on social media and publicly accessible imagery. With the increase in these streams, more and more sources of relevant imagery are becoming available during an incident. We suggest the fusion of these data outlets coupled with streaming camera feeds directly from mobile phone browsers can provide real-time situation awareness during the critical first hours of an incident. In this talk we discuss observations obtained using Realtime.Earth, a web-based platform for real-time collective intelligence enabled by imagery capture and collection, data distribution and model visualization, all in the browser. We discuss how imagery captured on mobile devices from citizens, crews and social media can be fused together into live 3D models for real-time fire behavior monitoring.
> 
> Bio:
> Kasra “Kaz” Manavi is the Director of Research and Communications at Simtable. He received a M.S. in Computer Science from Texas A&M University with an emphasis on robotic motion planning and received a PhD in Computer Science from the University of New Mexico with a focus on computational structural biology. After graduation, he started working at Simtable LLC in Santa Fe, NM, where he has been working on developing a web-based platform to enable real-time collective intelligence by providing users the ability to seamlessly incorporate agent-based modeling, ambient computing, photogrammetry, geospatial information systems and distributed computation into solutions that helps users better understand complex environmental and social phenomena in their community, primarily in the wildland fire space.
> 
> 
> Shuang (Sean) Luan, PhD
> Professor and Associate Chair, Computer Science
> Director, Biomedical Engineering Graduate Program
> University of New Mexico
> 
> _______________________________________________
> Colloquia mailing list
> Colloquia at snape.cs.unm.edu
> https://snape.cs.unm.edu/listinfo/colloquia

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