Persistent, Autonomous Environmental Monitoring for Timely Wildfire Detection (PANTHER)
Abstract:
In this talk, we describe PANTHER (Persistent Autonomous Monitoring for Timely Detection of Wildfires), a low-cost, large-scale, in-situ, energy-efficient IoT system designed to be deployed in remote areas to monitor environmental conditions conducive to wildfire initiation and growth, as well as support wildfire mitigation and preparedness efforts. PANTHER consists of clusters of mini weather stations that collect temperature, humidity, wind, soil moisture, and visual information about the surrounding environment and relay information through a wireless network to data collection sites.
Date and Time
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- Date: 21 Apr 2021
- Time: 06:30 PM to 08:00 PM
- All times are (GMT-08:00) US/Pacific
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Speakers
Dr. Katia Obraczka of University of California, Santa Cruz.
Persistent, Autonomous Environmental Monitoring for Timely Wildfire Detection (PANTHER)
Biography:
Katia Obraczka is Professor of Computer Science and Engineering at UC Santa Cruz. Before joining UCSC, she was a research Scientist at USC's Information Sciences Institute (ISI) and had a joint faculty appointment at USC's Computer Science Department. Prof. Obraczka's
research interests span the areas of computer networks, distributed systems, and Internet information systems. Her lab, the Internetwork Research Group (i-NRG) at UCSC, conducts research on designing and developing protocol architectures motivated by the internets of the
future including wireless networks, IoT, sensor networks, and disruption-tolerant networks. She has been a PI and a co-PI in a number of projects sponsored by government agencies (e.g. NSF, DARPA, NASA, ARO, DoE, AFOSR) as well as industry (e.g., Cisco, Google, Nokia). She
is currently serving as Associate Editor for the IEEE Transactions on Mobile Computing as well as ACM Letters in Computer Science. She is a Fellow of the IEEE and has recently received the Santander Chair of Excellence 2021-2022 and the INRIA International Chair 2021-2025 awards.
Andrea David of University of California, Santa Cruz.
Persistent, Autonomous Environmental Monitoring for Timely Wildfire Detection (PANTHER)
Biography:
Andrea David is a fourth-year PhD student in Computer Science and Engineering at the University of California, Santa Cruz. Her research interests include low-cost, energy-efficient IoT systems, distributed systems, wireless sensor networks, and their applications to environmental monitoring and emergency alerting. Advised by Dr. Katia Obrackza, Andrea is currently working on her PhD thesis that focuses on the design and development of an autonomous, time-sensitive, large-scale, and resilient IoT system for detecting and predicting wildfire events.