Dipl.-Ing. Fabian John

Position Research Associate
Address TH Lübeck - University of Applied Sciences, Electrical Engineering and Computer Sciences
Mönkhofer Weg 239
D-23562 Lübeck, Germany
Room: 18-2.17
Phone +49 (0)451 300-5125
E-Mail fabian.john@th-luebeck.de

Interests

Since January 01st 2019 I am research associate of Communications - Systems - Applications Center of Excellence at the TH Lübeck - University of Applied Sciences. My research focuses on imaging underwater measurement systems.

CV

  • Born on November 27th 1986
  • Study of Electrical Engineering (Dipl.-Ing.) at the University of Technology in Hamburg (TUHH) until 09/2012
  • Study of Medical Physics and Engineering at the University of Technology in Kaiserslautern from 2015 until 2017
  • Team leader, project manager and developer for testing technology automotive in Braunschweig / Wolfsburg at the cbb software GmbH from 09/2012 until 03/2016
  • Project engineer and developer for equipment manufacturing at EUROImmun AG from 04/2016 until 12/2018
  • Research associate at the CoSA in the EXTENSE project is 01/2019

Research Projects

EXTENSE Development of a measuring system (multisensor platform) for detection and localisation of objects (cables, ammunition and deep-sea mining) in sediments.

Publications


Refereed Conference Papers
[2019] Development of an Electro Impedance Tomography-based Platform for Measurement of burial Depth of Cables in Subsea Sediments (Andreas Schuldei, Fabian John, Gunther Ardelt, Tim Suthau, Horst Hellbrück), In Oceans 2019, 2019. [bib] [abstract]
Cables buried in the seabed are objects of interests especially as companies have to verify that the buried depth of the cables is in the expected range, typically $1~m$. Although several measurement systems have been designed in the past, there is no solution available that provides an accuracy of $pm10~cm$ for this purpose. In our approach we suggest to model and measure the electrical field and electrical impedance to determine the depth of a sea cable. In the first step we develop an electrical static field model for analytic investigations. We validate the model by a simulation tool and provide results for critical environmental parameters that affect our measurement accuracy.
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