Projekt

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Human olfaction is a very efficient sensory system, which has inspired the search for an electronic analog. Early on it was recognized that such an artificial nose requires the inclusion of perception, the interpretation of sensation in light of experience. This type of evaluation is achieved by using methods of machine learning and artificial intelligence. A breakthrough of perceptive electronics (short: perceptronics) can only happen in a concerted effort of science, engineering and medicine which stringently builds on recent advances in each discipline. The proposed research group will work in this spirit as an interdisciplinary team on topics of perceptronics for olfaction. The intended planning phase will be used to gather leading experts in the fields of (nano) sensorics, olfaction, perception and machine learning to facilitate co-operation and to prepare a qualification program to bridge the different disciplines.

• Prof. Dr. Gianaurelio Cuniberti

  Technische Universität Dresden
  Fakultät Maschinenwesen
  Institut für Werkstoffwissenschaft und Nanotechnik
  Lehrstuhl für Materialwissenschaft und Nanotechnik
  Max Bergmann Zentrum
  Dresden
  

• Prof. Dr. Thomas Hummel

  Technische Universität Dresden
  Medizinische Fakultät
  Department of Otorhinolaryngology
  Zentrum für Riechen und Schmecken
  Dresden
  

• Prof. Dr. Ilona Croy

  Technische Universität Dresden
  Medizinische Fakultät
  Dresden
  

• Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessment

• Olfactory perception in relation to the physico-chemical odor space