From Carbon Monoxide Detection to the Artificial Electronic Nose: A Review of Technologies and Applications
From Carbon Monoxide Detection to the Artificial Electronic Nose: A Review of Technologies and Applications
The presentation will focus on a comprehensive review of artificial olfactory systems, commonly known as electronic noses (e-noses). It will begin with an overview of the operating principles and structural design of e-noses, highlighting the differences between chamber-based and chamberless configurations. Various types of gas sensors will be discussed, and the rationale for employing sensor arrays instead of single detectors in practical applications will be explained, emphasising their role in improving selectivity and sensitivity.
The presentation will then explore different construction approaches to e-noses, including the design of sensing chambers and their influence on measurement stability and repeatability. A wide range of practical applications will be presented, from carbon monoxide detection to the classification of coffee varieties, cigarette types, and fuel samples.
A significant portion of the talk will be devoted to environmental and biological applications of e-noses, such as estimating the population density of forest pests like the pine-tree lappet moth (Dendrolimus pini), and detecting plant diseases. Case studies will include the detection of fungal infections in cereal grains, the identification of root pathogens in oak seedlings, and the recognition of ash seedling infections through soil analysis.
The seminar will demonstrate the interdisciplinary nature of electronic nose research, combining elements of electronics, analytical chemistry, environmental biology, and machine learning methods, and will highlight the growing potential of this technology in both scientific and industrial domains.
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- POZNAŃ UNIVERSITY OF TECHNOLOGY
- ul. Jana Pawła II 24, 60-965 Poznań, Poland
- Poznań, Wielkopolskie
- Poland 60-965
- Building: CENTER FOR MECHATRONICS, BIOMECHANICS, AND NANOENGINEERING
- Room Number: room 230
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The meeting on October 16, 2025 at 11:30 AM CEST will be organized in a hybrid form.
The link:https://emeeting.put.poznan.pl/eMeeting/ada-zkq-942
The address:
ul. Jana Pawła II 24, 60-965 Poznań, room 230
- Co-sponsored by Poznan University of Technology
- Starts 14 October 2025 10:00 PM UTC
- Ends 15 October 2025 10:00 PM UTC
- No Admission Charge
Speakers
Krzysztof Siwek
From Carbon Monoxide Detection to the Artificial Electronic Nose: A Review of Technologies and Applications
The presentation will focus on a comprehensive review of artificial olfactory systems, commonly known as electronic noses (e-noses). It will begin with an overview of the operating principles and structural design of e-noses, highlighting the differences between chamber-based and chamberless configurations. Various types of gas sensors will be discussed, and the rationale for employing sensor arrays instead of single detectors in practical applications will be explained, emphasising their role in improving selectivity and sensitivity.
The presentation will then explore different construction approaches to e-noses, including the design of sensing chambers and their influence on measurement stability and repeatability. A wide range of practical applications will be presented, from carbon monoxide detection to the classification of coffee varieties, cigarette types, and fuel samples.
A significant portion of the talk will be devoted to environmental and biological applications of e-noses, such as estimating the population density of forest pests like the pine-tree lappet moth (Dendrolimus pini), and detecting plant diseases. Case studies will include the detection of fungal infections in cereal grains, the identification of root pathogens in oak seedlings, and the recognition of ash seedling infections through soil analysis.
The seminar will demonstrate the interdisciplinary nature of electronic nose research, combining elements of electronics, analytical chemistry, environmental biology, and machine learning methods, and will highlight the growing potential of this technology in both scientific and industrial domains.
Biography:
Education and academic degrees:
§ M.Sc. Eng. – Warsaw University of Technology, specialization: "Automation and Metrology", 1995
§ Ph.D. Eng. – Warsaw University of Technology, scientific dissertation „Load Forecasting in Power Systems Using Artificial Neural Networks", 2001
§ Ph.D. Eng. – Warsaw University of Technology, scientific dissertation „Applications of Artificial Intelligence Methods in Prediction and Classification Tasks," 2012
§ University Professor – Warsaw University of Technology, 2014
Professional Experience:
§ Japan, RIKEN (The Institute of Physical and Chemical Research), Tokyo, doctoral training and internship, 1998
§ France, L'Institut National Polytechnique de Grenoble, EU “Socrates” grant, 1999
§ Japan, RIKEN (The Institute of Physical and Chemical Research), Tokyo, doctoral training and internship, 2000
§ Japan, RIKEN (The Institute of Physical and Chemical Research), Tokyo, postdoctoral fellowship, 2002
§ Japan, RIKEN (The Institute of Physical and Chemical Research), Tokyo, researcher, 2002
Skills and interests:
In-depth knowledge of electrical engineering and computer science, particularly circuit theory, numerical methods, modeling and simulation of dynamic processes and systems, artificial neural networks, machine learning, and internet technologies
Email:
Address:Warsaw University of Technology, Koszykowa 75, Warsaw, Mazowieckie, Poland, 00-662