SPECIAL SESSION #26

Mariangela Latino

Institute for Chemical-Physical Processes, National Research Council of Italy (IPCF-CNR)

• mariangela.latino@cnr.it

Donatella Puglisi

Linköping University, Department of Physics, Chemistry and Biology (Sweden)

• donatella.puglisi@liu.se

Giovanni Gugliandolo

University of Messina, Department of Engineering

• giovanni.gugliandolo@unime.it

Vincenzo Saroli

Campus Bio-Medico University of Rome

• v.saroli@unicampus.it

Nicola Donato

University of Messina, Department of Engineering

• nicola.donato@unime.it

Smart measurement systems are increasingly essential in applications ranging from environmental monitoring and industrial automation to human-centric safety and next-generation IoT infrastructures. Gas sensors and multi-sensor platforms are key enabling technologies for these systems, providing accurate detection, quantification, and interpretation of chemical species in complex and dynamic environments.

This special session aims to bring together contributions that cover the full measurement chain: from the design, modelling, and characterization of advanced gas sensors and sensor arrays to front-end electronics, data acquisition, and intelligent signal processing. Particular attention will be given to solutions that integrate machine learning, explainable AI, and IoT/edge architectures to enhance measurement accuracy, reliability, robustness, and real-time decision-making capabilities in modern industrial ecosystems.

The session welcomes contributions addressing metrological aspects such as calibration strategies, long-term stability, drift mitigation, and uncertainty evaluation, as well as works demonstrating validated field deployments in industrial, environmental, occupational health, and other relevant real-world contexts. By fostering interdisciplinary dialogue, this special session aims to highlight the evolving role of smart measurement systems in enabling safer and more resilient industrial processes, sustainable environments, and human-centered industry solutions.

Topics of interest include, but are not limited to:

• Design, modelling, and fabrication of gas sensors and gas sensor arrays;
• Electronic noses and multi-sensor platforms for gas and VOC analysis;
• Sensor fusion of chemical, physical, and environmental parameters;
• Environmental monitoring, indoor air quality, industrial safety, leak detection, process control;
• Human-centered and AI-driven diagnostics for current and future industrial ecosystems (Industry 4.0 & 5.0 & 6.0);
• Front-end electronics, low-power and low-noise interfaces, embedded and edge systems;
• Calibration strategies, drift compensation, long-term stability, uncertainty evaluation in smart measurement systems;
• Machine learning and AI-driven methods for feature extraction, classification, regression, anomaly detection, sensor fault diagnosis;
• IoT, edge computing, and digital twin architectures for distributed sensing networks;
• Domain adaptation, transfer learning, and robust machine learning techniques in real-world deployments;
• Innovative instrumentation and methods, testbeds, benchmarking procedures, and metrological validation.

Mariangela Latino received the M.S. degree in physics from the University of Messina, Messina, Italy, in 2005, and the Ph.D. degree in materials for energy and environment from the University of Rome Tor Vergata, Rome, Italy, in 2013. She is currently aJunior Researcher - with the Institute for Chemical-Physical Processes, National Research Council of Italy (IPCF-CNR). Her current research interests are focused on the development processes and the characterization techniques of solid-state gas sensors.

Donatella Puglisi is an Associate Professor of Applied Physics at Linköping University, Sweden, specializing in gas sensing technologies and machine-learning-enhanced electronic noses. She received her PhD in Physics from the University of Catania, Italy, in 2009. She has led or contributed to over 25 funded projects (~€17M) in forensic and cancer diagnostics, indoor air quality and environmental monitoring, food quality assessment, and cultural heritage preservation, with a strong focus on real-world impact and sustainability. She serves on the International Steering Committee of EUROSENSORS and chairs its ES Fellow Sub-Committee. She is also co-founder and board member of NORNDiP, promoting diversity, inclusion, and female leadership in physics.

Giovanni Gugliandolo received his B.S. degree in Electronic Engineering and Computer Science, and his M.S. degree in Electronic Engineering from the University of Messina, Italy, in 2013 and 2016, respectively. He earned a Ph.D. in Metrology from the Politecnico di Torino, Italy, in 2020, in collaboration with the National Institute of Metrological Research (INRiM). In the same year, he joined the University of Messina and currently works in the Department of Engineering as an Assistant Professor in the field of electrical and electronic measurements. His research interests include sensors and sensor-based measurement systems, sensor metrology, microwave sensors, and biomedical measurement systems.

Vincenzo Saroli received the M.Sc. degree in Biomedical Engineering with honors and mention for academic excellence from Campus Bio-Medico University (UCBM) of Rome, Italy, in 2024. He is currently a PhD Student in Bioengineering, Applied Sciences, and Intelligent Systems at UCBM, within the Unit of Measurements and Biomedical Instrumentation. His research interests focus on biomedical flow measurements, as well as on the design, fabrication, and metrological characterization of sensors manufactured via Fused Deposition Modeling (FDM) 3D printing for physiological parameter monitoring.

Nicola Donato received the M.S. degree in electronic engineering from The University of Messina, Messina, Italy, in 1997, and the Ph.D. degree from the University of Palermo, Palermo, Italy, in 2002.,He is currently a Full Professor of Electrical and Electronic Measurements with The University of Messina and the Head of the Laboratories of “Electronics for Sensors and for Systems of Transduction” and “Electrical and Electronic Measurements.” He has coauthored more than 230 articles on international journals and conference proceedings (Scopus). His current research interests include sensor characterization and modeling, the development of measurement systems for sensors, and the characterization of electronic devices up to microwave range and down to cryogenic temperatures.