Photo of Donatella Puglisi

Donatella Puglisi

Associate Professor, Docent

Smart sensor technologies and applications, odor detection, innovation, sustainability.

Presentation

I have broad expertise and experience in interdisciplinary and international research spanning different scientific domains in the fields of applied sciences and engineering. My research interests include the development and operation of innovative sensor-based devices and machine learning-enhanced electronic noses for targeted detection of odors, with a focus on volatile organic compounds and air pollutants.

I have been principal investigator and active collaborator in several national or international research and innovation projects in the fields of early cancer diagnostics, medical devices, forensic sciences, indoor air quality and environmental monitoring, food quality control, and cultural heritage. My previous experience includes measurement and characterization of silicon carbide and other wide band-gap X-ray semiconductor detectors for space, high-energy physics, and medical applications.

In teaching, I designed and developed several courses at bachelor, master, and doctoral levels, fostering inclusive learning environments, and experimenting with innovative pedagogical approaches that combine challenge-, project-, problem-, and Agile-based learning.

I am an International Steering Committee Member of EUROSENSORS and Co-founder of NORNDiP, the Nordic Network for Diversity in Physics, for promotion and valorization of diversity, inclusion, equal opportunities, and female leadership in science.

My contribution to research, support of students and young professionals, technology transfer, networking, and community engagement, as well as my close collaboration outside academia with the industry, government, and civil society underline my commitment to pursuing shared goals, building bridges of collaborations, and realizing successful projects and initiatives on global challenges.

News and articles about my research

Media coverage about my research

Portable electronic nose with machine learning enhances VOC detection in forensic science

Study from Linköping University showcases a 32-element MOS e-nose with ML for forensic use—distinguishing human vs. animal samples, postmortem states, and estimating time since death. Donatella Puglisi led the research.


Portable electronic nose with machine learning enhances VOC detection in forensic science
Donatella Puglisi

Their research can save lives

Swedish Television visits our lab to report on electronic noses.


Their research can save lives
group photo of smiling people

10 innovative entrepreneurs awarded the ÅForsk Entreprenör scholarship 2019

The ÅForsk foundation has appointed 10 entrepreneurs who will receive ÅForsk entrepreneurial scholarship 2019. The scholarship of SEK 200,000 aims to support the entrepreneur to realize their business concept. This article is in Swedish.


10 Innovative entrepreneurs are awarded the ÅForsk Entreprenör scholarship

A popular description of parts of my research. This presentation was given for high school students at Populärvetenskapliga veckan.

Selected research and innovation projects

HEADLINE – Health Diagnostics Electronic Nose

NSF Convergence Accelerator Program, Phase I, Track L: Real-World Chemical Sensing Applications, funded by the Swedish Research Council, Vetenskaprådet (VR), grant No. 2023-07219, and Sweden’s Innovation Agency, VINNOVA, grant No. 2023-04186, in collaboration with the US National Science Foundation (NSF), 2024-2025. Team Leader (PI)

Preventive solutions for sensitive Materials of Cultural Heritage

H2020 Research and Innovation EU-project SensMat, GA no. 814596, 2019-2022. Team Leader (PI)

Diagnostic method for early detection of ovarian cancer (part 2)

VINNOVA Strategic Innovation Program Swelife, a joint venture of Vinnova, Formas and the Swedish Energy Agency, No. 2023-03874, 2024-2026. Project Manager (PI)

Smart Sensor Fusion for Complex Odor Profile Identification in Forensic Investigations (SCENT)

Swedish Police Authority, grant No. A170.261/2024, 2024. Project Coordinator (PI)

Diagnostic method for early detection of ovarian cancer via detection of volatile gases in blood plasma

VINNOVA Strategic Innovation Program Swelife and MedTech4Health, a joint venture of Vinnova, Formas and the Swedish Energy Agency, grant No. 2022-03464, 2023-2024. Project Manager (PI)

Indoor biomass burning contributes to significant particulate matter exposure, chronic human health burden, and an economic drain in rural households

Vetenskapsrådet (VR), grant No. 2022-02991, 2023-2026. Participating Researcher

INSPECT – Bio-Inspired machine olfaction platform to resolve complex forensic cases

Faculty of Science and Engineering (LiTH), LiU, Seed grant, 2025-2026. Project Leader (PI)

Investigation of Cadaver Detection Dogs Training Aids with Quantitative Methods

SOFO (Strategic Research Area in Forensic Sciences), Pilot project, 2023-2024. Project Leader (PI)

Remote meat inspection using an electronic nose

Swedish National Food Safety, Pilot project, 2023-2024. Team Leader (I)

Steering Committees:

EUROSENSORS
International Steering Committee Member, 2016-ongoing

NORNDiP - Nordic Network for Diversity in Physics
Co-founder and Board member, 2018-ongoing

Education

Experience as course coordinator, examiner, lecturer, supervisor in the following subject areas:

PhD Courses

  • Leadership Principles and Agile Management
  • Sustainable Development

MSc and BSc courses

  • Applied and Experimental Physics
  • Engineering Projects
  • Measurement Technology
  • Chemical Sensor Systems
  • Sustainable Development

Pedagogical approaches

  • CDIO - Conceive, Design, Implement, Operate
  • Project-, Problem-, Challenge-, Agile-based learning

Publications

2025

Jens Eriksson, Donatella Puglisi, Filip Herbst, Arturas Dobilas, Ivan Shtepliuk, Ulrika Joneborg, Henrik Falconer, Angelique Floter Radestad, Christer Borgfeldt (2025) Machine learning-enhanced gas sensor technology identifies ovarian and endometrial cancer of all stages through plasma volatile organic compound patterns eBioMedicine, Vol. 122, Article 106027 (Article in journal) Continue to DOI
Jens Eriksson, Ivan Shtepliuk, Donatella Puglisi (2025) Toward self-learning sensor devices for precision molecular identification Chem, Vol. 11, Article 102612 (Article in journal) Continue to DOI
Ivan Shtepliuk, Kerstin Montelius, Jens Eriksson, Donatella Puglisi (2025) Adaptive Machine Learning for Electronic Nose-Based Forensic VOC Classification Advanced Science, Vol. 12, Article e04657 (Article in journal) Continue to DOI
Silvia Casalinuovo, Daniela Caschera, Simone Quaranta, Donatella Puglisi, Domenico Caputo (2025) A Feasibility Study Over a MWCNT-Coated Textile as NH3 Sensor Sensors and Microsystems: Proceedings of AISEM 2024, p. 88-93 (Conference paper) Continue to DOI
Ivan I. Shtepliuk, Guillem Domènech-Gil, Viktor Almqvist, Arja Helena Kautto, Ivar Vågsholm, Sofia Boqvist, Jens Eriksson, Donatella Puglisi (2025) Electronic nose and machine learning for modern meat inspection Journal of Big Data, Vol. 12, Article 96 (Article in journal) Continue to DOI

Organisation