GLORIA COSOLI

Gloria Cosoli was born in Chiaravalle, Ancona, Italy, in 1989. She received the Bachelor degree in Biomedical Engineering, the Master degree in Electronic Engineering, and the Ph.D. degree in Mechanical Engineering from Universita Politecnica delle Marche (UNIVPM), Ancona, Italy, in 2011, 2013, and 2017, respectively.

From 2016 to 2023, she was a Post-Doctoral Research Fellow with the Department of Industrial Engineering and Mathematical Sciences (DIISM), UNIVPM. Since 2023, she has been a research collaborator at DIISM; since May 2024 she has been an Associate Professor at the Department of Theoretical and Applied Sciences (DiSTA) of eCampus University, Novedrate, Italy. From November 2024 she has been the Deputy Coordinator of the Bachelor and Master degree courses in Computer and Automation Engineering at eCampus University.

She is the author of 36 articles, 43 conference proceedings, and two national patents.

She received the IEEE MeMeA 2015 Best Poster Award and the IEEE MetroLivEnv 2023 Best Paper Award.

Her research interests include non-invasive physiological measurements, numerical modeling, mechanical and thermal measurements, signal processing, and non-destructive techniques.
In particular, the following research areas can be mentioned:

  • Development of measurement procedures for indoor comfort assessment based on physiological (wearable) sensors and environmental sensors.
  • Development of recognition and characterization models for waste (from construction and demolition, as well as urban waste) through the integration of vision techniques and Machine Learning algorithms.
  • Development of monitoring systems for industrial processes aimed at process optimization.
  • Development of monitoring systems for structural health monitoring of structures and infrastructures.
  • Development of measurement procedures for the assessment of industrial product quality based on non-destructive techniques.
  • Signal processing and extraction of relevant features.

Email: gloria.cosoli@uniecampus.it

Main publications:

  1. Cosoli, G., Chiariotti, P., García-Baños, B., Pandarese, G., Peñaranda-Foix, F. L., & Revel, G. M. (2025). A Measurement Approach for Characterizing Temperature-Related Emissivity Variability in High-Emissivity Materials. Sensors, 25(2), 487.
  2. Mancini, A., Cosoli, G., Mobili, A., Violini, L., Pandarese, G., Galdelli, A., … & Revel, G. M. (2024). A monitoring platform based on electrical impedance and AI techniques to enhance the resilience of the built environment. ACTA IMEKO, 13(3), 1-12.
  3. Cosoli, G., Antognoli, L., Panni, L., & Scalise, L. (2024). Indirect Estimation of Breathing Rate Using Wearable Devices. IEEE Transactions on Instrumentation and Measurement.
  4. Cosoli, G., Martarelli, M., Mobili, A., Tittarelli, F., & Revel, G. M. (2023). Damage Identification in Cement-Based Structures: A Method Based on Modal Curvatures and Continuous Wavelet Transform. Sensors, 23(22), 9292.
  5. Cosoli, G., Mansi, S. A., Pigliautile, I., Pisello, A. L., Revel, G. M., & Arnesano, M. (2023). Enhancing personal comfort: A machine learning approach using physiological and environmental signals measurements. Measurement, 217, 113047.
  6. Biochar and recycled carbon fibres as additions for low-resistive cement-based composites exposed to accelerated degradation
  7. Mobili, A., Cosoli, G., Giulietti, N., Chiariotti, P., Bellezze, T., Pandarese, G., … & Tittarelli, F. (2023). Biochar and recycled carbon fibres as additions for low-resistive cement-based composites exposed to accelerated degradation. Construction and Building Materials, 376, 131051.
  8. Cosoli, G., Antognoli, L., & Scalise, L. (2023). Methods for the metrological characterization of wearable devices for the measurement of physiological signals: State of the art and future challenges. MethodsX, 10, 102038.
  9. Cosoli, G., Antognoli, L., Veroli, V., & Scalise, L. (2022). Accuracy and precision of wearable devices for real-time monitoring of swimming athletes. Sensors, 22(13), 4726.
  10. Cosoli, G., Poli, A., Scalise, L., & Spinsante, S. (2021). Measurement of multimodal physiological signals for stimulation detection by wearable devices. Measurement, 184, 109966.
  11. Poli, A., Cosoli, G., Scalise, L., & Spinsante, S. (2020). Impact of wearable measurement properties and data quality on ADLs classification accuracy. IEEE Sensors Journal, 21(13), 14221-14231.
  12. Giulietti, N., Chiariotti, P., Cosoli, G., Mobili, A., Pandarese, G., Tittarelli, F., & Revel, G. M. (2021). Automated measurement system for detecting carbonation depth: Image-processing based technique applied to concrete sprayed with phenolphthalein. Measurement, 175, 109142.
  13. Cosoli, G., Mobili, A., Giulietti, N., Chiariotti, P., Pandarese, G., Tittarelli, F., … & Revel, G. M. (2021). Performance of concretes manufactured with newly developed low-clinker cements exposed to water and chlorides: Characterization by means of electrical impedance measurements. Construction and Building Materials, 271, 121546.
  14. Cosoli, G., Mobili, A., Tittarelli, F., Revel, G. M., & Chiariotti, P. (2020). Electrical resistivity and electrical impedance measurement in mortar and concrete elements: A systematic review. Applied Sciences, 10(24), 9152.
  15. Cosoli, G., Spinsante, S., & Scalise, L. (2020). Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics. Measurement, 159, 107789.
  16. Cosoli, G., Chiariotti, P., Martarelli, M., Foglia, S., Parrini, M., & Tomasini, E. P. (2019). Development of a soft sensor for indirect temperature measurement in a coffee machine. IEEE Transactions on Instrumentation and Measurement, 69(5), 2164-2171.
  17. Piccinetti, C. C., De Leo, A., Cosoli, G., Scalise, L., Randazzo, B., Cerri, G., & Olivotto, I. (2018). Measurement of the 100 MHz EMF radiation in vivo effects on zebrafish D. rerio embryonic development: A multidisciplinary study. Ecotoxicology and environmental safety, 154, 268-279.
  18. Cosoli, G., Casacanditella, L., Tomasini, E. P., & Scalise, L. (2016). The non-contact measure of the heart rate variability by laser Doppler vibrometry: comparison with electrocardiography. Measurement Science and Technology, 27(6), 065701.
  19. Cosoli, G., Casacanditella, L., Tomasini, E. P., & Scalise, L. (2015, November). Evaluation of heart rate variability by means of laser doppler vibrometry measurements. In Journal of Physics: Conference Series (Vol. 658, No. 1, p. 012002). IOP Publishing.
  20. Cosoli, G., Casacanditella, L., Pietroni, F., Calvaresi, A., Revel, G. M., & Scalise, L. (2015, May). A novel approach for features extraction in physiological signals. In 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings (pp. 380-385). IEEE.