Michael Baumgartner

Persönliches Profil

Tätigkeit an der ZHAW

Wissenschaftlicher Mitarbeiter am Schwerpunkt Angewandte Optik AO

www.zhaw.ch/de/engineering/institute-zentren/iamp/angewandte-optik/

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Softwareentwicklung in C++ und LabView
Messtechnik
Prototypenbau
Elektronik analog und digital

Aus- und Fortbildung

1996-2000 Lehre als Elektroniker an der MSW, Winterthur
2001-2004 Studium in Elektrotechnik an der ZHW (heute ZHAW) in Winterthur

Beruflicher Werdegang

2000-2001 Prüffeldmitarbeiter in der HPW, Bronschhofen.
2004-2015 Verantwortlicher Testentwickler für Produktionstests von SPS-Steuerungen und Motordrives in der Indel AG, Russikon.
2005-2011 Leitung von Labor und Prüffeld in der Indel AG, Russikon.
ab 2015 Mitarbeiter in angewandter Optik an der ZHAW: Prototypenentwicklung, Programmierung von Messaufbauten, Durchführen von optischen Messungen, Laserschutzverantwortlicher

Projekte

• Self-learning optical sensor / Teammitglied / Projekt abgeschlossen
• Adaptive Linsen für Augmented Reality / Teammitglied / Projekt abgeschlossen
• StereO2 – Low-power optical oxygen sensor / Teammitglied / Projekt abgeschlossen

Publikationen

• Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, Michael; Caballero, Josep Palau; Jimenez, Arturo; Deriu, Marco Agostino,

  2021.

  Exploration of Spanish olive oil quality with a miniaturized low-cost fluorescence sensor and machine learning techniques.

  Foods.

  10(5), S. 1010.

  Verfügbar unter: https://doi.org/10.3390/foods10051010

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2020.

  Dual oxygen and temperature luminescence learning sensor with parallel inference.

  Sensors.

  20(17), S. 4886.

  Verfügbar unter: https://doi.org/10.3390/s20174886

• Michelucci, Umberto; Baumgartner, Michael; Venturini, Francesca,

  2019.

  Optical oxygen sensing with artificial intelligence.

  Sensors.

  19(4), S. 777.

  Verfügbar unter: https://doi.org/10.3390/s19040777

• Venturini, Francesca; Baumgartner, Michael; Borisov, Sergey,

  2018.

  Mn4+-doped magnesium titanate : a promising phosphor for self-referenced optical temperature sensing.

  Sensors.

  18(2/668).

  Verfügbar unter: https://doi.org/10.3390/s18020668

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2021.

  Implementation of multi-task learning neural network architectures for robust industrial optical sensing [Paper].

  In:

  Lehmann, Peter; Osten, Wolfgang; Albertazzi Gonçalves Jr., Armando, Hrsg.,

  Optical Measurement Systems for Industrial Inspection XII.

  SPIE Optical Metrology, online, 21-26 June 2021.

  Bellingham:

  Society of Photo-Optical Instrumentation Engineers.

  S. 117822H.

  Proceedings of SPIE ; 11782.

  Verfügbar unter: https://doi.org/10.1117/12.2593469

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2021.

  Implementation of multi-task learning neural network architectures for robust industrial optical sensing [Poster].

  In:

  Lehmann, Peter; Osten, Wolfgang; Albertazzi Gonçalves Jr., Armandi, Hrsg.,

  Optical Measurement Systems for Industrial Inspection XII.

  SPIE Optical Metrology, online, 21-25 June 2021.

  Bellingham:

  Society of Photo-Optical Instrumentation Engineers.

  Proceedings of SPIE ; 11782.

  Verfügbar unter: https://doi.org/10.1117/12.2593469

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2021.

  New approach for temperature-immune oxygen sensing based on Pt-TFPP [Paper].

  In:

  OSA Technical Digest.

  OSA Optical Sensors and Sensing Congress, online, 19-23 July 2021.

  Optica Publishing Group.

  S. SW5H.2.

  Verfügbar unter: https://doi.org/10.1364/SENSORS.2021.SW5H.2

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2020.

  Multi-task learning approach for optical luminescence sensing [Poster].

  In:

  Applied Machine Learning Days (AMLD), Lausanne, 25-29 January 2020.

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2020.

  Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor [Paper].

  In:

  Proceedings Frontiers in Optics / Laser Science.

  OSA Frontiers in Optics / Laser Science, online, 14-17 September 2020.

  OSA Publishing.

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2020.

  Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks [Paper].

  In:

  Proceedings Volume 11354 : Optical Sensing and Detection VI.

  SPIE Photonics Europe, Digital Forum, France, 6 - 10 April 2020.

  Bellingham:

  Society of Photo-Optical Instrumentation Engineers (SPIE).

  Verfügbar unter: https://doi.org/10.1117/12.2554941

• Venturini, Francesca; Baumgartner, Michael; Michelucci, Umberto,

  2019.

  New approach for luminescence sensing based on machine learning [Paper].

  In:

  Jalali, Bahram; Kitayama, Ken-ichi, Hrsg.,

  Proceedings Volume 10937 : Optical Data Science II.

  SPIE OPTO, San Francisco, USA, 2-7 February 2019.

  SPIE.

  Verfügbar unter: https://doi.org/10.1117/12.2508969

• Venturini, Francesca; Baumgartner, Michael; Borisov, S.M.,

  2018.

  New opportunities for optical temperature sensing with Mn4+-doped magnesium titanate [Paper].

  In:

  Advanced Photonics 2018.

  OSA Advanced Photonics Congress 2018, Zürich, 2-5 July 2018.

  Verfügbar unter: https://doi.org/10.1364/BGPPM.2018.JTu2A.63

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2021.

  New approach for temperature-immune oxygen sensing based on Pt-TFPP.

  In:

  OSA Optical Sensors and Sensing Congress, online, 19-23 July 2021.

  Verfügbar unter: https://osa.zoom.us/rec/play/MvNgUQyUZcCHsaYidUEieFhKJSC_0H951ohgwMQLgaJu2hOUG4Cp8c6EbckrxwSFPVgA4icXYkOKpYHl.bke5ll04aQIuRasd?continueMode=true&_x_zm_rtaid=rEeKPUbBRbuPidh8EtTeUQ.1630395453945.87ac6bdfd1c3781b0e74319831d7e46a&_x_zm_rhtaid=928

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2020.

  Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks.

  In:

  SPIE Photonics Europe, Digital Forum, France, 6 - 10 April 2020.

• Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,

  2020.

  Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor.

  In:

  OSA Frontiers in Optics / Laser Science, online, 14-17 September 2020.

• Venturini, Francesca; Baumgartner, Michael,

  2019.

  New approach for luminescence sensing based on machine learning.

  In:

  SPIE OPTO, San Francisco, USA, 2-7 February 2019.

  SPIE - The International Society for Optical Engineering.

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