Prof. Dr. Francesca Venturini

Work at ZHAW

Position

• Head team Spectroscopy
• Deputy head team Applied Optics
• Professor of applied optics
• Coordinator of the MSE Profile Photonics
• Reviewer for Springer Nature, Elsevier, Optica, MDPI, Royal Society of Chemistry
• Reviewer for the European Research Council

Focus

Optics, laser spectroscopy, fluorescence spectroscopy, Raman spectroscopy, absorption spectroscopy, sensor development, gas sensing, fiber optic, non-linear optics, solid state physics, superconductivity, magnet technology

Teaching

• Physics 1 and 2
• Case Studies Stock and Flow - Systeme 1 and 2
• MSE: Optical Engineering and Metrology
• CAS Digitale Technologien und Innovation

Experience

• Expert for Innosuisse
  Innosuisse
  01 / 2023 - today
• Cofounder and CTO
  TOELT GmbH
  11 / 2018 - today
• Professor of applied optics
  ZHAW
  12 / 2017 - today
• Researcher and lecturer
  ZHAW
  09 / 2013 - 11 / 2017
• Head of product development R&D
  Mettler-Toledo AG
  06 / 2011 - 08 / 2013
• Senior project manager R&D
  Mettler-Toledo AG
  08 / 2008 - 05 / 2011
• Project manager R&D
  Bruker BioSpin AG
  08 / 2003 - 07 / 2008

Education and Continuing education

Education

• PhD / Physics
  Technische Universität München, München, DE
  09 / 1998 - 04 / 2003
• Graduate studies
  The George Washington University, Washington DC, USA
  08 / 1997 - 07 / 1998
• Master of Science (M.Sc.) / Physics
  Università degli Studi di Firenze, IT
  10 / 1992 - 07 / 1997

Continuing Education

• CAS in Higher Education
  Pädagogische Hochschule Zurich, PHZH
  01 / 2016
• PGCert Business Administration
  The Open University Business School, UK
  11 / 2007

Network

Membership of networks

• SPIE International society for optics and photonics
• Optica - Optical Society of America
• IEEE - Institute of Electrical and Electronics Engineers
• Photonics 21
• German Physical Society
• Swiss Physical Society

ORCID digital identifier

ORCID ID: 0000-0003-2562-9932

Social media

• Linkedin
• Researchgate

Projects

• DEEPWine: Virtual oenologist based on deep learning and optical spectroscopy / Project leader / ongoing
• Internet of Things # Amfora. A Swiss Digital Solution for Global Foodservice / Team member / ongoing
• Raman for Process Analytics / Project leader / ongoing
• A diagnostic tool for NMR CryoProbes / Deputy project leader / completed
• Sensitivity improvement techniques for Raman scattering measurements / Project leader / completed
• NeO2-Sens / Project leader / completed
• Raman spectroscopy for material analysis / Project leader / completed
• ARES - AI for fluoREscence Spectroscopy in oil / Project leader / completed
• Self-learning optical sensor / Project leader / completed
• Optical gas sensor with ceramic cell / Project leader / completed
• StereO2 – Low-power optical oxygen sensor / Project leader / completed
• Miniaturized gas sensor / Project leader / completed
• Feasibility study and sensor improvements / Project leader / completed

Publications

• Smeesters, Lien; Venturini, Francesca; Paulus, Stefan; Mahlein, Anne-Katrin; Perpetuini, David; Cardone, Daniela; Merla, Arcangelo; Gac, Benjamin; Perrin, Stephane; Trégoat, Denis; Poffo, Luiz; Fournier, Antoine; Bonifazi, Giuseppe; Serranti, Silvia; Liao, Wenzhi; Osseiran, Noureddin; Vanwolleghem, Mathias; Peretti, Romain; Bandyopadhyay, Aparajita; Bertling, Karl; Parameswaran, Krishnan; Rakić, Aleksandar D.; Sengupta, Amartya; Svanberg, Sune; Kujawinska, Małgorzata; Cozzolino, Daniel; Perez-Marin, Dolores; Entrenas de León, José A.; Torres Rodríguez, Irina; Fodor, Marietta; Benes, Eszter; Matkovits, Anna; Jókai, Zsuzsa; Cristescu, Simona M; Khodabakhsh, Amir; Jahromi, Khalil; Nematollahi, Mohammadreza; Harren, Frans H.; Rokx, Eugene; Sikorska, Ewa; Sowoidnich, Kay; Maiwald, Martin; Sumpf, Bernd; Roussey, Matthieu; Peiponen, Kai-Erik; Femenias, Antoni; Fomina, Polina; Kokoric, Vjekoslav; Stach, Robert; Mizaikoff, Boris; Konstantaki, Maria; Pissadakis, Stavros; Michelucci, Umberto; Paśko, Sławomir; Pakuła, Anna; Crocombe, Richard A.; Miseo, Ellen V.; Liapis, Andreas C.; Ahmed, Faisal; Sun, Zhipei; Chandrinou, Chrysoula; Chatzipetrou, Marianneza; Zergioti, Ioanna; Trog, Ulrich; Haase, Anja; Smolka, Martin; Oosterveld, Lex; Van Hoof, Chris; Müller, André; Hlavatsch, Michael; Bajrami, Diellza; Olvera-Gonzalez, Ernesto; Escalante-Garcia, Nivia; Blazquez Soro, Arturo; Van Hoorde, Koenraad; Tiwari, Brijesh; Westerhoff, Thomas; Kneissl, Michael; Mignani, Anna Grazia,

  2025.

  2025 photonics for agrifood roadmap : towards a sustainable and healthier planet.

  Journal of Physics: Photonics.

  Available from: https://doi.org/10.1088/2515-7647/adbea9

• El Ghazouali, Safouane; Gucciardi, Arnaud; Venturini, Francesca; Venturi, Nicola; Rueegsegger, Michael; Michelucci, Umberto,

  2024.

  FlightScope : an experimental comparative review of aircraft detection algorithms in satellite imagery.

  Remote Sensing.

  16(24), pp. 4715.

  Available from: https://doi.org/10.3390/rs16244715

• Michelucci, Umberto; Venturini, Francesca,

  2024.

  Deep learning domain adaptation to understand physico-chemical processes from fluorescence spectroscopy small datasets and application to the oxidation of olive oil.

  Scientific Reports.

  14(22291).

  Available from: https://doi.org/10.1038/s41598-024-73054-y

• Ahmad, Ali; Liew, Anderson X. W.; Venturini, Francesca; Kalogeras, Athanasios; Candiani, Alessandro; Di Benedetto, Giacomo; Ajibola, Segun; Cartujo, Pedro; Romero, Pablo; Lykoudi, Aspasia; De Grandis, Michelangelo Mastrorocco; Xouris, Christos; Lo Bianco, Riccardo; Doddy, Irawan; Elegbede, Isa; D'Urso Labate, Giuseppe Falvo; García del Moral, Luis F.; Martos, Vanessa,

  2024.

  AI can empower agriculture for global food security : challenges and prospects in developing nations.

  Frontiers in Artificial Intelligence.

  7(1328530).

  Available from: https://doi.org/10.3389/frai.2024.1328530

• Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto,

  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).

  Available from: https://doi.org/10.1016/j.lwt.2023.115679

• Eggertson, Edward Curran; Venturini, Francesca,

  2023.

  Resonant Raman spectroscopy of carotenoids in aging of extra virgin olive oil.

  Sensors.

  23(17), pp. 7621.

  Available from: https://doi.org/10.3390/s23177621

• Michelucci, Umberto; Venturini, Francesca,

  2023.

  New metric formulas that include measurement errors in machine learning for natural sciences.

  Expert Systems with Applications.

  224(120013).

  Available from: https://doi.org/10.1016/j.eswa.2023.120013

• Venturini, Francesca; Fluri, Silvan; Baumgartner, Michael,

  2023.

  Dataset of fluorescence EEM and UV spectroscopy data of olive oils during ageing.

  Data.

  8(5), pp. 81.

  Available from: https://doi.org/10.3390/data8050081

• Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa M.; Deriu, Marco A.,

  2022.

  Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks : application to olive oil.

  Journal of Food Engineering.

  336(111198).

  Available from: https://doi.org/10.1016/j.jfoodeng.2022.111198

• Michelucci, Umberto; Sperti, Michela; Piga, Dario; Venturini, Francesca; Deriu, Marco A.,

  2021.

  A model-agnostic algorithm for Bayes error determination in binary classification.

  Algorithms.

  14(11), pp. 301.

  Available from: https://doi.org/10.3390/a14110301

• 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), pp. 1010.

  Available from: https://doi.org/10.3390/foods10051010

• Michelucci, Umberto; Venturini, Francesca,

  2021.

  Estimating neural network’s performance with bootstrap : a tutorial.

  Machine Learning and Knowledge Extraction.

  3(2), pp. 357-373.

  Available from: https://doi.org/10.3390/make3020018

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

  2020.

  Dual oxygen and temperature luminescence learning sensor with parallel inference.

  Sensors.

  20(17), pp. 4886.

  Available from: https://doi.org/10.3390/s20174886

• Michelucci, Umberto; Venturini, Francesca,

  2019.

  Multi-task learning for multi-dimensional regression : application to luminescence sensing.

  Applied Sciences.

  9(22).

  Available from: https://doi.org/10.3390/app9224748

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

  2019.

  Optical oxygen sensing with artificial intelligence.

  Sensors.

  19(4), pp. 777.

  Available from: https://doi.org/10.3390/s19040777

• Chelwani, N.; Baum, A.; Böhm, T.; Opel, M.; Venturini, Francesca; Tassini, L.; Erb, A.; Berger, H.; Forró, L.; Hackl, R.,

  2018.

  Magnetic excitations and amplitude fluctuations in insulating cuprates.

  Physical Review B.

  97(2).

  Available from: https://doi.org/10.1103/PhysRevB.97.024407

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

  2018.

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

  Sensors.

  18(2/668).

  Available from: https://doi.org/10.3390/s18020668

• Venturini, Francesca; Schönherr, Veit; Rey, Julien; Adolfsson, Erik,

  2017.

  Characterization of light-gas interaction in strongly-scattering nanoporous materials and its implications for tunable diode laser absorption spectroscopy.

  Applied Physics B.

  123(4), pp. 123-136.

  Available from: https://doi.org/10.1007/s00340-017-6705-z

• Michelucci, Umberto; Venturini, Francesca,

  2017.

  Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas sensing.

  Sensors.

  17(10), pp. 2281.

  Available from: https://doi.org/10.3390/s17102281

• Venturini, Francesca; Bürgi, René; Borisov, Sergey; Klimant, Ingo,

  2015.

  Optical temperature sensing using a new thermographic phosphor.

  Sensors and Actuators A: Physical.

  233, pp. 324-329.

  Available from: https://doi.org/10.1016/j.sna.2015.07.009

• Munnikes, N.; Muschler, B.; Venturini, Francesca; Tassini, L.; Prestel, W.; Ono, Shimpei; Ando, Yoichi; Peets, D. C.; Hardy, W. N.; Liang, Ruixing; Bonn, D. A.; Damascelli, A.; Eisaki, H.; Greven, M.; Erb, A.; Hackl, R.,

  2011.

  Pair breaking versus symmetry breaking : origin of the Raman modes in superconducting cuprates.

  Physical Review B.

  84(144523).

  Available from: https://doi.org/10.1103/PhysRevB.84.144523

• Prestel, W.; Venturini, Francesca; Muschler, B.; Tütto, I.; Hackl, R.; Lambacher, M.; Erb, A.; Komiya, Seiki; Ono, Shimpei; Ando, Yoichi; Inosov, D.; Zabolotnyy, V. B.; Borisenko, S. V.,

  2010.

  Quantitative comparison of single- and two-particle properties in the cuprates.

  The European Physical Journal Special Topics.

  188(1), pp. 163-171.

  Available from: https://doi.org/10.1140/epjst/e2010-01304-2

• Hackl, R.; Tassini, L.; Venturini, Francesca; Erb, A.; Hartinger, Ch.; Kikugawa, N.; Fujita, T.,

  2006.

  Raman study of ordering phenomena in copper–oxygen systems.

  Journal of Physics and Chemistry of Solids.

  67(1-3), pp. 289-293.

  Available from: https://doi.org/10.1016/j.jpcs.2005.10.126

• Tassini, L.; Venturini, Francesca; Zhang, Q. -M.; Hackl, R.; Kikugawa, N.; Fujita, T.,

  2005.

  Dynamical properties of charged stripes in La(2-x)SrxCuO4.

  Physical Review Letters.

  95(117002).

  Available from: https://doi.org/10.1103/PhysRevLett.95.117002

• Zhang, Qingming; Venturini, Francesca; Hackl, Rudi; Hori, Jun’ya; Fujita, Toshizo,

  2003.

  New electronic Raman scattering results in underdoped La2−xSrxCuO4.

  Physica C: Superconductivity and its Applications.

  286, pp. 282-285.

  Available from: https://doi.org/10.1016/S0921-4534(02)02132-9

• Venturini, Francesca; Opel, M.; Hackl, R.; Berger, H.; Forró, L.; Revaz, B.,

  2002.

  Doping dependence of the electronic Raman spectra in cuprates.

  Journal of Physics and Chemistry of Solids.

  63(12), pp. 2345-2348.

  Available from: https://doi.org/10.1016/S0022-3697(02)00239-1

• Michelucci, Umberto; Venturini, Francesca; Kampf, Arno,

  2002.

  Quantum interference phenomena between impurity states in d-wave superconductors.

  Journal of Physics and Chemistry of Solids.

  63(12), pp. 2283-2286.

  Available from: https://doi.org/10.1016/S0022-3697(02)00238-X

• Venturini, Francesca; Zhang, Q. -M.; Hackl, R.; Lucarelli, A.; Lupi, S.; Ortolani, M.; Calvani, P.; Kikugawa, N.; Fujita, T.,

  2002.

  Raman scattering versus infrared conductivity : evidence for one-dimensional conduction in La(2-x)Sr(x)CuO(4).

  Physical Review B.

  66(6).

  Available from: https://doi.org/10.1103/PhysRevB.66.060502

• Venturini, Francesca; Hackl, R.; Michelucci, U.,

  2002.

  Comment on : nonmonotonic $d_{x^{2}-y^{2}}$ superconducting order parameter in Nd$_{2-x}$Ce$_x$CuO$_4$.

  Physical Review Letters.

  90(14), pp. 149701-1.

  Available from: https://doi.org/10.1103/PhysRevLett.90.149701

• Venturini, Francesca; Opel, M.; Devereaux, T. P.; Freericks, J. K.; Tüttő, I.; Revaz, B.; Walker, E.; Berger, H.; Forró, L.; Hackl, R.,

  2002.

  Observation of an unconventional metal-insulator transition in overdoped CuO2 compounds.

  Physical Review Letters.

  89(10), pp. 107003-1-107003-4.

  Available from: https://doi.org/10.1103/PhysRevLett.89.107003

• Opel, Matthias; Venturini, Francesca,

  2002.

  Raman scattering in solids.

  European Pharmaceutical Review.

  7(3), pp. 76-82.

• Opel, M.; Nemetschek, R.; Venturini, Francesca; Hackl, R.; Tutto, I.; Berger, H.; Forro, L.; Erb, A.; Revaz, B.; Walker, E.,

  2001.

  A light-scattering study of dynamical carrier properties in cuprate systems.

  Ferroelectrics.

  249(1), pp. 155-164.

  Available from: https://doi.org/10.1080/00150190108214977

• Venturini, Francesca; Michelucci, U.; Devereaux, T. P.; Kampf, A. P.,

  2000.

  Collective spin fluctuation mode and raman scattering in superconducting cuprates.

  Physical Review B.

  62, pp. 15204-15207.

  Available from: https://doi.org/10.1103/PhysRevB.62.15204

• Opel, M.; Venturini, Francesca; Hackl, R.; Revaz, B.; Berger, H.; Forrò, L.,

  2000.

  Superconducting gap and pseudogap in Bi-2212.

  Physica B: Condensed Matter.

  284-288, pp. 669-670.

  Available from: https://doi.org/10.1016/S0921-4526(99)02344-3

• Opel, M.; Götzinger, M.; Hoffmann, C.; Nemetschek, R.; Philipp, R.; Venturini, Francesca; Hackl, R.; Erb, A.; Walker, E.,

  1999.

  Pseudogap and superconducting gap in YBa2Cu3o6+x : a raman study.

  Journal of Low Temperature Physics.

  117(3-4), pp. 347-351.

  Available from: https://doi.org/10.1023/A:1022513531861

• Opel, M.; Nemetschek, R.; Venturini, Francesca; Hackl, R.; Erb, A.; Walker, E.; Berger, H.; Forrò, L.,

  1999.

  Raman spectroscopy in YBa2Cu3O6+x and Bi2Sr2(CaxY1-x)Cu2O8+d : pseudogap and superconducting gap.

  Physica status solidi B.

  215(1), pp. 471-476.

  Available from: https://doi.org/10.1002/(SICI)1521-3951(199909)215:1<471::AID-PSSB471>3.0.CO;2-K

• Venturini, Francesca,

  2003.

  Raman scattering study of electronic correlations in cuprates : observation of an unconventional metal insulator transition.

  Berlin:

  Mensch-und-Buch-Verlag.

  ISBN 978-3-89820-530-6.

• Hackl, Rudi; Tassini, Leonardo; Venturini, Francesca; Hartinger, Christine; Erb, Andreas; Kikugawa, Naoki; Fujita, Toshitsu,

  2005.

  Ordering phenomena in cuprates.

  In:

  Kramer, Bernhard, ed.,

  Advances in solid state physics.

  Heidelberg:

  Springer.

  pp. 227-238.

  Advances in Solid State Physics ; 45.

  Available from: https://doi.org/10.1007/11423256_18

• Venturini, Francesca,

  2003.

  Evidence for a metal-insulator transition in overdoped Cuprates : new Raman results.

  In:

  Kramer, Bernhard, ed.,

  Advances in solid state physics.

  Springer.

  pp. 253-266.

  Advances in Solid State Physics ; 43.

  Available from: https://doi.org/10.1007/978-3-540-44838-9_18

• Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto,

  2024.

  Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing[paper].

  In:

  Berghmans, Francis; Zergioti, Ioanna, eds.,

  Optical Sensing and Detection VIII.

  SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

  SPIE.

  pp. 129991F.

  Proceedings of SPIE ; 12999.

  Available from: https://doi.org/10.1117/12.3016879

• Gucciardi, Arnaud; El Ghazouali, Safouane; Michelucci, Umberto; Venturini, Francesca,

  2024.

  Machine learning feature extraction for predicting the ageing of olive oil[paper].

  In:

  Bocklitz, Thomas, ed.,

  Data Science for Photonics and Biophotonics.

  SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

  SPIE.

  pp. 130110A.

  Proceedings of SPIE ; 13011.

  Available from: https://doi.org/10.1117/12.3017680

• Mathys, Marco; Gebbers, Pit; Venturini, Francesca,

  2024.

  Probing carotenoids in the skin using resonant Raman spectroscopy[poster].

  In:

  SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

  Available from: https://spie.org/photonics-europe/presentation/Probing-carotenoids-in-the-skin-using-resonant-Raman-spectroscopy/13010-48?enableBackToBrowse=true

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

  2023.

  Deep learning super resolution for high-speed excitation emission matrix measurements[paper].

  In:

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

  AI and Optical Data Sciences IV.

  SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

  SPIE.

  Available from: https://doi.org/10.1117/12.2647589

• Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

  2023.

  Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra[paper].

  In:

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

  AI and Optical Data Sciences IV.

  SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

  SPIE.

  Available from: https://doi.org/10.1117/12.2647809

• Schmid, Christian; Laurenzi, Emanuele; Michelucci, Umberto; Venturini, Francesca,

  2023.

  Explainable AI for the olive oil industry[paper].

  In:

  Hinkelmann, Knut; López-Pellicer, Francisco J.; Polini, Andrea, eds.,

  Perspectives in Business Informatics Research.

  22nd International Conference on Perspectives in Business Informatics Research, Ascoli Piceno, Italy, 13-15 September 2023.

  Cham:

  Springer.

  pp. 158-171.

  Lecture Notes in Business Information Processing ; 493.

  Available from: https://doi.org/10.1007/978-3-031-43126-5_12

• Sperti, Michela; Gucciardi, Arnaud; Michelucci, Umberto; Venturini, Francesca; Deriu, Marco Agostino .,

  2022.

  Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks[paper].

  In:

  SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

  SPIE.

  pp. 121391K.

  Available from: https://doi.org/10.1117/12.2621666

• Arnaud, Gucciardi; Michelucci, Umberto; Venturini, Francesca; Sperti, Michela; Martos, Vanessa M.; Deriu, Marco A.,

  2022.

  Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil[paper].

  In:

  Berghmans, Francis; Zergioti, Ioanna, eds.,

  Optical Sensing and Detection VII.

  SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

  Society of Photo-Optical Instrumentation Engineers (SPIE).

  pp. 121391J.

  Proceedings of SPIE ; 12139.

  Available from: https://doi.org/10.1117/12.2621588

• Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

  2022.

  One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra[paper].

  In:

  Berghmans, Francis; Zergioti, Ioanna, eds.,

  Optical Sensing and Detection VII.

  SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

  Society of Photo-Optical Instrumentation Engineers (SPIE).

  pp. 1213917.

  Proceedings of SPIE ; 12139.

  Available from: https://doi.org/10.1117/12.2621646

• Sperti, Michela; Michelucci, Umberto; Venturini, Francesca; Gucciardi, Arnaud; Deriu, Marco A.,

  2022.

  Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks[poster].

  In:

  SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

  Available from: https://spie.org/EPE/conferencedetails/optical-sensing-detection

• Gucciardi, Arnaud; Michelucci, Umberto; Venturini, Francesca; Sperti, Michela; Martos, Vanessa M.; Deriu, Marco A.,

  2022.

  Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil[poster].

  In:

  SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

  Available from: https://doi.org/10.1117/12.2621588

• 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, eds.,

  Optical Measurement Systems for Industrial Inspection XII.

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

  Bellingham:

  Society of Photo-Optical Instrumentation Engineers.

  pp. 117822H.

  Proceedings of SPIE ; 11782.

  Available from: 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, eds.,

  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.

  Available from: https://doi.org/10.1117/12.2593469

• Michelucci, Umberto; Venturini, Francesca,

  2021.

  New autonomous intelligent sensor design approach for multiple parameter inference[paper].

  In:

  7th Electronic Conference on Sensors and Applications, Online, 15-30 November 2020.

  MDPI.

  pp. 96.

  Available from: https://doi.org/10.3390/engproc2020002096

• 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.

  pp. SW5H.2.

  Available from: 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).

  Available from: 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, eds.,

  Proceedings Volume 10937 : Optical Data Science II.

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

  SPIE.

  Available from: 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.

  Available from: https://doi.org/10.1364/BGPPM.2018.JTu2A.63

• Venturini, Francesca; Michelucci, Umberto,

  2017.

  Novel algorithm for calibration-free absorption spectroscopy sensor[paper].

  In:

  5th International Symposium on Sensor Science (I3S 2017), Barcelona, Spain, 27-29 September 2017.

  Basel:

  MDPI.

  Available from: https://doi.org/10.3390/proceedings1080833

• Venturini, Francesca; Schönherr, Veit; Adolfsson, Erik,

  2017.

  Ultracompact oxygen sensor using nanoporous materials as strongly-scattering multipass cell for tunable diode laser absorption spectroscopy[paper].

  In:

  The European Conference on Lasers and Electro-Optics 2017.

  2017 European Conference on Lasers and Electro-Optics & European Quantum Electronics Conference, Munich, 25–29 June 2017.

  IEEE.

• Venturini, Francesca; Schönherr, Veit; Rey, Julien; Adolfsson, Erik,

  2016.

  Characterization of light-gas interaction in strongly-scattering nanoporous materials and its implications for tunable diode laser absorption spectroscopy[poster].

  In:

  International Conference on Field Laser Applications in Industry and Research (FLAIR 2016), Aix-les-Bains, Frankreich, 12.-16. September 2016.

• Borisov, Sergey; Klimant, Ingo; Schönherr, Veit; Bürgi, René; Venturini, Francesca,

  2015.

  Investigation of the Luminescence Emission of Chromium(III)-Doped Yttrium Aluminum Borate for the Design of an Optical Temperature Sensor[poster].

  In:

  MAF 14, The 14th Conference on Methods and Applications in Fluorescence, Würzburg, Germany, 13-16 September 2015.

• Borisov, Sergey; Klimant, Ingo; Bürgi, René; Venturini, Francesca,

  2015.

  Temperature sensing and sensor design using a new thermographic phosphor for a wide range of applications[paper].

  In:

  Proceedings 2015 European Conference on Lasers and Electro-Optics - European Quantum Electronics Conference.

  2015 European Conference on Lasers and Electro-Optics & European Quantum Electronics Conference, 21–25 June 2015.

  Optical Society of America.

• Venturini, F.; Michelucci, U.; Devereaux, T. P.; Kampf, A. P.,

  2000.

  Collective modes and electronic raman scattering in the cuprates[paper].

  In:

  Proceedings of the International Conference on Materials and Mechanisms of Superconductivity High Temperature Superconductors VI.

  International Conference on Materials and Mechanisms of Superconductivity High Temperature Superconductors VI, Houston, USA, 20-25 February 2000.

  Elsevier.

  pp. 2265-2266.

  Available from: https://doi.org/10.1016/S0921-4534(00)00972-2

• Minardi, F.; Knight, D. J. E.; Arie, A.; Pavone, F. S.; Venturini, Francesca; Inguscio, M.,

  1997.

  Frequency doubling of 1083 nm diode-laser radiation for locking to iodine absorption[paper].

  In:

  Zhang, Zhiming, ed.,

  Laser Spectroscopy: Xiii International Conference : Hangzhou, China 2-7 June 1997.

  Laser Spectroscopy: XIII International Conference, Hangzhou, China, 2-7 June 1997.

  Singapore:

  World Scientific.

• Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa,

  2023.

  Dataset of fluorescence spectra and chemical parameters of olive oils[paper].

  In:

  SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

  arXiv.

  Available from: https://doi.org/10.48550/arXiv.2301.04471

• Venturini, Francesca,

  2025.

  Innovative sensor technologies for agrifood quality assessment.

  In:

  Sensor and Measurement Science International, Nuremberg, Germany, 6-8 May 2025.

• Gucciardi, Arnaud; El Ghazouali, Safouane; Michelucci, Umberto; Venturini, Francesca,

  2024.

  Machine learning feature extraction for predicting the ageing of olive oil.

  In:

  SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

  Available from: https://doi.org/10.1117/12.3017680

• Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto,

  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.

  Available from: https://doi.org/10.1117/12.3016879

• Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

  2023.

  Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra.

  In:

  SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.

• Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,

  2022.

  One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra.

  In:

  SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.

  Available from: https://spie.org/photonics-europe/presentation/One-dimensional-convolutional-neural-networks-design-for-fluorescence-spectroscopy-with/12139-60

• 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.

  Available from: 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,

  2020.

  Applications of ML to oxygen sensing.

  In:

  Deep learning meets (Astro)physics : A one day tutorial on neural nets, deep learning and TensorFlow 2.0, with applications to (astro)physics and science, ETHZ, Institute for Particle Physics and Astrophysics, Zurich (Switzerland), 22 January 2020.

  Available from: https://sites.google.com/view/dl-meets-astrophysics-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.

• Venturini, Francesca,

  2016.

  Progress in NIR spectroscopy and its industrial applications.

  In:

  Swiss Photonics Optical Sensing Workshop : From THz to X-ray - Inventing the Future, Zurich (Switzerland), 31 March 2016.

  Available from: https://www.swissphotonics.net/workshops/workshop-datenbank?2914

• Venturini, Francesca; Dumont, Elisabeth; Fuchs, Hans Ulrich; Maurer, Werner,

  2014.

  From forces of nature to the physics of dynamical systems.

  In:

  9th International Conference on Conceptual Change, Bologna, Italy, 26-29 August 2014.

Research data

Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa; Deriu, Marco Agostino, 2022. Dataset of fluorescence spectra and chemical parameters of olive oils. Mendeley Data. Available from: https://doi.org/10.17632/thkcz3h6n6.6

Patents and patent applications

• Venturini, Francesca; Bergstroem, Paer; Hertel, Martin,

  2022.

  Gas measurement system.

  Patent number US11327008 B2

  (2022-05-10)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DUS11327008B2

• Bergström, Pär; Hertel, Martin; Kondziella, Ralph; Tazreiter, Martin; Venturini, Francesca,

  2021.

  Gas cell.

  Patent number DE102019006763 A1

  (2021-04-01)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DDE102019006763A1

• Fischer, Milan; Ulmer, Lilya; Venturini, Francesca,

  2020.

  Optochemical sensor.

  Patent number EP3333568 B1

  (2020-06-24)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DEP3333568B1

• Venturini, Francesca; Mock, Patrick; Schauwecker, Robert,

  2017.

  Horizontal magnet arrangement with radial access.

  Patent number DE102007013349 B4

  (2017-11-02)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DDE102007013349B4

• Venturini, Francesca; Vanoni, Claudio,

  2017.

  Messverfahren für einen optochemischen Sensor.

  Patent number EP2887054 B1

  (2017-02-22)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DEP2887054B1

• Vanoni, Claudio; Venturini, Francesca; Kleinlogel, Christoph,

  2015.

  Method of operating an optochemical sensor.

  Patent number US9103795 B2

  (2015-08-11)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DUS9103795B2

• Venturini, Francesca; Schauwecker, Robert; Bovier, Pierre-Alain,

  2013.

  Superconductive magnet assembly with hysteresis-free magnetic coils.

  Patent number EP1990648 B1

  (2013-08-14)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DEP1990648B1

• Allgaeuer, Mario; Ehrismann, Philippe; Meier, Dario; Ufheil, Joachim; Vayhinger, Marcus; Venturini, Francesca,

  2013.

  A Sensor utilizing a clamping mechanism.

  Patent number WO2013083759 A1

  (2013-06-13)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DWO2013083759A1

• Radanovic, Dragan; Venturini, Francesca,

  2013.

  Opto-chemical sensor.

  Patent number EP2573548 A1

  (2013-03-27)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DEP2573548A1

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