Earthquake shaking imposes a risk to millions of urban households and buildings worldwide. Personal safety can be improved by integrated smart sensory systems which prepare inhabitants for imminent shaking. Our seismic sensor technology records the earthquake's shaking and continously monitors and reports the structural health of the building.
Changes in ambient waveforms allow insights into the response structure of subsoil, bricks and walls. Dense sensory networks allow to monitore entire buildings. Harnessing new developments in automated signal processing QuakeSaver smart seismic sensors will deliver online building response evaluation and characterization of P wave arrivals using deep neural networks.
We develop and engineer sensory solutions for earthquake monitoring, preparedness and resilience.
Modern MEMS sensor technology combined with state-of-the-art data analysis enables new ways to prepare for ground shaking and monitor earthquake activity. We explore and develop embedded hard- and software solutions for integrated earthquake analysis.
Our vision is to establish large distributed sensory networks for continuous monitoring of medium scale building structures. Further outdoor deployment of our sensory technology is used to obtain classical seismological data.
We are a group of passionate seismologist and geophysicists with years of experience handling embedded sensory network and analyzing big data delivered by large global sensory systems. To record, harness and explore massive data sets, we design and develop embedded hardware systems and software on the full stack.
Our expertise reaches from the development of embedded sensory systems to online data distribution, data storage and its analysis. We have hands-on experience with data minig large datasets with a focus on embedded programming, signal processing and machine learning. Read more about us below.
Is an expert in statistical seismology and crowd-sourced data analysis at the GFZ Potsdam. He has great expertise in handling large data sets to maximize the understanding of underlying earthquake hazard and risk.
Danijel got his PhD from ETH Zürich in 2004 and worked in many research institutions worldwide, including the University of Southern California, Los Angeles, IPG Paris, France and the University of Tokyo, Japan. He is driving our vision to bring earthquake preparedness into everybody's home.
is an experienced seismologist and engineer with a strong interest in network design and spatial waveform processing. Marius Paul holds a MSc. in Geophysics from the University of Kiel, he has worked as a seismologist at the United States Geological Survey, Menlo Park and the King Abdullah University of Science and Technology.
Marius Paul developed and maintained embedded sensory systems in the Norwegian hydrocarbon exploration industry. Now he is research developer for seismological software at the University of Kiel and is associated with the GFZ Potsdam.
is a software engineer with a pronounced background in time-series analysis, signal processing and deep learning. Marius is experienced in developing unique applications for embedded and interconnected systems.
Marius holds a MSc. in Geophysics from the University of Hamburg. Currently he is an associated PhD candidate developing seismological methods at the University of Potsdam.