Michael Baumgartner

Projects

• Raman SERDS for Plastic Detection / Deputy project leader / ongoing
• LED Flash / Deputy project leader / ongoing
• Internet of Things # Amfora. A Swiss Digital Solution for Global Foodservice / Team member / completed
• Printer for optical lenses for fast prototyping and small series / Team member / completed
• Self-learning optical sensor / Team member / completed
• Adaptive lenses for augemted reality applications / Team member / completed
• StereO2 – Low-power optical oxygen sensor / Team member / completed

Publications

Articles in scientific journal, peer-reviewed

• Venturini, F. et al. (2024) 'Shedding light on the ageing of extra virgin olive oil : probing the impact of temperature with fluorescence spectroscopy and machine learning techniques', LWT - Food Science and Technology, 191(115679). doi: 10.1016/j.lwt.2023.115679.
• Venturini, F., Fluri, S. and Baumgartner, M. (2023) 'Dataset of fluorescence EEM and UV spectroscopy data of olive oils during ageing', Data, 8(5), p. 81. doi: 10.3390/data8050081.
• Venturini, F. et al. (2021) 'Exploration of Spanish olive oil quality with a miniaturized low-cost fluorescence sensor and machine learning techniques', Foods, 10(5), p. 1010. doi: 10.3390/foods10051010.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2020) 'Dual oxygen and temperature luminescence learning sensor with parallel inference', Sensors, 20(17), p. 4886. doi: 10.3390/s20174886.
• Michelucci, U., Baumgartner, M. and Venturini, F. (2019) 'Optical oxygen sensing with artificial intelligence', Sensors, 19(4), p. 777. doi: 10.3390/s19040777.
• Venturini, F., Baumgartner, M. and Borisov, S. (2018) 'Mn4+-doped magnesium titanate : a promising phosphor for self-referenced optical temperature sensing', Sensors, 18(2/668). doi: 10.3390/s18020668.

Written conference contributions, peer-reviewed

• Venturini, F. et al. (2024) 'Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing', in Berghmans, F. and Zergioti, I. (eds) Optical Sensing and Detection VIII. SPIE, p. 129991F. doi: 10.1117/12.3016879.
• Michelucci, U. et al. (2023) 'Deep learning super resolution for high-speed excitation emission matrix measurements', in Jalali, B. and Kitayama, K.-i. (eds) AI and Optical Data Sciences IV. SPIE. doi: 10.1117/12.2647589.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2021) 'New approach for temperature-immune oxygen sensing based on Pt-TFPP', in OSA Technical Digest. Optica Publishing Group, p. SW5H.2. doi: 10.1364/SENSORS.2021.SW5H.2.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2021) 'Implementation of multi-task learning neural network architectures for robust industrial optical sensing', in Lehmann, P., Osten, W., and Albertazzi Gonçalves Jr., A. (eds) Optical Measurement Systems for Industrial Inspection XII. Bellingham: Society of Photo-Optical Instrumentation Engineers. doi: 10.1117/12.2593469.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2021) 'Implementation of multi-task learning neural network architectures for robust industrial optical sensing', in Lehmann, P., Osten, W., and Albertazzi Gonçalves Jr., A. (eds) Optical Measurement Systems for Industrial Inspection XII. Bellingham: SPIE, p. 117822H. doi: 10.1117/12.2593469.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2020) 'Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks', in Proceedings Volume 11354 : Optical Sensing and Detection VI. Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). doi: 10.1117/12.2554941.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2020) 'Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor', in Proceedings Frontiers in Optics / Laser Science. Optica Publishing Group.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2020) 'Multi-task learning approach for optical luminescence sensing', in Applied Machine Learning Days (AMLD), Lausanne, 25-29 January 2020.
• Venturini, F., Baumgartner, M. and Michelucci, U. (2019) 'New approach for luminescence sensing based on machine learning', in Jalali, B. and Kitayama, K.-i. (eds) Proceedings Volume 10937 : Optical Data Science II. SPIE. doi: 10.1117/12.2508969.
• Venturini, F., Baumgartner, M. and Borisov, S. M. (2018) 'New opportunities for optical temperature sensing with Mn4+-doped magnesium titanate', in Advanced Photonics 2018. doi: 10.1364/BGPPM.2018.JTu2A.63.

Oral conference contributions and abstracts

• Venturini, F. et al. (2024) 'Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing', in SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024. doi: 10.1117/12.3016879.
• Venturini, F., Michelucci, U. and Baumgartner, M. (2021) 'New approach for temperature-immune oxygen sensing based on Pt-TFPP', in OSA Optical Sensors and Sensing Congress, online, 19-23 July 2021. Available at: https://osa.zoom.us/rec/play/MvNgUQyUZcCHsaYidUEieFhKJSC_0H951ohgwMQLgaJu2hOUG4Cp8c6EbckrxwSFPVgA4icXYkOKpYHl.bke5ll04aQIuRasd?continueMode=true&_x_zm_rtaid=rEeKPUbBRbuPidh8EtTeUQ.1630395453945.87ac6bdfd1c3781b0e74319831d7e46a&_x_zm_rhtaid=928.
• Venturini, F., Michelucci, U. and Baumgartner, M. (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, F., Michelucci, U. and Baumgartner, M. (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, F. and Baumgartner, M. (2019) 'New approach for luminescence sensing based on machine learning', in SPIE OPTO, San Francisco, USA, 2-7 February 2019.

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