Electronic tongues and noses – How can they support detection and prevention?

Machine-learning, combined with advanced sensor technologies, is part of the rapidly advancing research front in forensic technical support tools. Join us for an insightful webinar designed for forensic practitioners, civil defence personnel and researchers in these fields. The webinar is hosted by Linköping University and research programs CARER and Security Link.

Webinar, 16th of October, 14.00.

Mats Eriksson, senior associate professor in Applied Physics at the Department of Physics, Chemistry, and Biology (IFM) at Linköping University will talk about electrochemical sensor networks (“electronic tongues”) to monitor urban water distribution systems. The increasing illegal trespassing at waterworks lately, both in Sweden and in other countries calls for improved monitoring of the water infrastructure perimeter, but there is also concern that an intruder might tamper with the water. Therefore, fast and sensitive chemical sensors and biosensors are of interest for early warning.

Donatella Puglisi, Associate Professor in smart sensor technologies and applications, odor detection at the Department of Physics, Chemistry, and Biology (IFM) at Linköping University will present research in machine learning-enhanced electronic noses for targeted detection of odors, with a focus on volatile organic compounds and air pollutants. In early stages of this research the electronic nose will learn to detect dead bodies, later on also other odors. Both in war, disasters and in ordinary police work it is important to detect, locate and identify bodies quickly. The electronic nose can be of aid for this and be of use in environments too dangerous for humans to enter.

The webinar invites persons involved in preparedness planning and response to crisis and civil defense, missing person search and in forensic investigations, as well as in researchers in these fields.
Registration for this webinar to Kjerstin.Wahlstrom@liu.se the 7th of October at the latest.