> Begin forwarded message: > > From: Shuang Luan <[email protected]> > Subject: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi > Date: November 9, 2020 at 10:10:31 AM MST > To: [email protected], [email protected], [email protected], CS > Faculty mail list <[email protected]> > > 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 > [email protected] > https://snape.cs.unm.edu/listinfo/colloquia
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