[ghsc-seminars] Thursday, Oct 24th @ 10 am - Dr. Michael Andersen, PingThings

[Mirus, Benjamin]

*Sensor Comprehension at Scale: Architecting a Modern Platform for
Managing, Analyzing, and Learning from Dense Telemetry Data*

*Dr. Michael Andersen*
*CTO, PingThings, Inc. *

The development of computing methodologies designed to take advantage of
“big data” - ie, the rise to dominance of machine learning and then deep
learning - has fundamentally altered the expectations of how data can be
and should be used. These new expectations now apply not just to data
traditionally associated with the web such as tweets, instagram posts, and
youtube videos, but also to engineering and scientific data. The data
systems that support such uses of data must be incredibly performant not
only due to the computational requirements of training iterative learning
algorithms but also because the human in the loop must engage and interact
with the data at scale. This talk will focus on the underlying design and
architecture decisions made to build a horizontally scalable platform for
time series sensor data at sample rates of up to 1 billion samples per
second per stream, enabling not only traditional scientific and engineering
analyses at scale but also machine and deep learning approaches to sensor
comprehension.

Dr. Michael Andersen completed his PhD in Electrical Engineering and
Computer Science at the University of California Berkeley in the
prestigious RISELab under Dr. David Culler. His research covers wireless
sensor networks, time series databases, operating systems for the built
environment and secure communication infrastructure.

*Thursday, October 24th**, 2019*
*10-11am*
*  (Mountain Time)*
*USGS, 1711 Illinois Street, Golden, CO*
*Entry Level Seminar Room (204)*

*Note: Please arrive *~5 minutes early* and *bring photo ID* for
airport-style security measures now in place at the USGS building.

Thank you,
GHSC Seminar Committee

Ben
Mirus - bbmirus at usgs.gov
Josh Rigler - erigler at usgs.gov
Oliver Boyd - olboyd at usgs.gov <oboyd at usgs.gov>
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