Forschung / Research

The IEEE I²MTC – International Instrumentation and Measurement Technology Conference – is the flagship conference of the IEEE Instrumentation and Measurement Society and is dedicated to advances in measurement methodologies, measurement systems, instrumentation and sensors in all areas of science and technology.

LMT has presented three contributions at this conference, all with a focus on machine learning for smart sensors from our DESS group:

• C. Schnur, Y. Robin, P. Goodarzi, T. Dorst, A. Schütze, T. Schneider:
  Development of a bearing test-bed for acquiring data for robust and transferable machine learning
• P. Goodarzi, S. Klein, A. Schütze, T. Schneider:
  Comparing Different Feature Extraction Methods in Condition Monitoring Applications
• Y. Robin, J. Amann, P. Goodarzi, T. Schneider, A. Schütze, C. Bur:
  Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays

Prof. Schütze will give a

keynote talk on "High performance gas measurement systems based on microsensors"

in track 3 "Micro/Nano Engineering for Physical and Chemical Applications" at this years MNE EUROSENSORS conference in Leuven, September 20.

Micro and Nano Engineering (MNE) is the core international conference focusing on micro- and nano-fabrication, manufacturing techniques, as well as applications of the fabricated micro/nanostructures, devices and microsystems into electronics, photonics, energy, environment, chemistry and life sciences. In September 2022, MNE is jointly organized with Eurosensors, leading to an exceptional event tagged as MNE-EUROSENSORS 2022. The conference will be held in beautiful Leuven, close to Brussels, in Belgium. 

Yannick Robin received the BEST PAPER AWARD at ISOEN 2022 for the oral contribution:

Yannick Robin, Johannes Aman, Payman Goodarzi, Andreas Schütze, Christian Bur:

Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors

Congratulations on this outstanding achievement and recognition for applying advanced deep learning technologies to gas measurement systems with high practical relevance!

Yannick received the award from newly elected ISOCS president Saverio De Vito during the closing ceremony of the conference.

Further reading:
Y. Robin, J. Amann, T. Baur, P. Goodarzi, C. Schultealbert, T. Schneider and A. Schütze:
High-Performance VOC Quantification for IAQ Monitoring Using Advanced Sensor Systems and Deep Learning
Atmosphere (2021) 12(11), 1487, DOI 10.3390/atmos12111487

From May 29 to June 1, ISOEN 2022, the International Symposium on Olfaction and Electronic Noses, will be held in Aveiro, Portugal. ISOEN is the world’s premiere technical conference in artificial chemoreception (olfaction and taste). ISOEN 2022 provides a forum for scientists, engineers and practitioners to share their latest findings, innovations and products in the area of artificial chemoreception.

LMT will present several contributions in this conference:

• Wolfhard Reimringer, Julian Joppich, Martin Leidinger, Caroline Schultealbert, Andreas Schütze and Thorsten Conrad:
  A Modular Sensor System Design for Instrumental Odor Monitoring
  oral presentation

  Yannick Robin, Johannes Aman, Payman Goodarzi, Andreas Schütze and Christian Bur:
  Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors
  oral presentation

  Julian Joppich, Oliver Brieger, Ksenia Karst, Daniel Becher, Christian Bur, Andreas Schütze
  MOS Gas Sensors for Food Quality Monitoring using GC-MS and Human Perception as Reference
  oral presentation

  Julian Joppich, Wolfhard Reimringer, Thorsten Conrad, Bettina Mannebeck, Christoph Mannebeck, Christian Bur, Andreas Schütze
  Calibration of Sensor Systems for Odor Monitoring: an Approach and its Limits
  poster presentation