Gabrieli Giulio

Rome (Italy) ·
Post Doctoral Researcher @ Neuroscience and Behaviour Laboratory - Center for Life Nano- & Neuro-Science (Istituto Italiano di Tecnologia)


Nanyang Technological University

PhD Student
Program of Psychology - School of Social Sciences
January 2019 - Ongoing

University of Trento

Master Degree in Human-Computer Interaction
Department of psychology and Cognitive Science
Department of Information Engineering and Computer Science
September 2016 - July 2018

Nagasaki University

Graduate School of Biomedical Sciences

Research - Erasmus+

October 2016 - March 2017

Nanyang Technological University

School of Humanities and Social Sciences

Summer Research Internship

June 2016 - July 2016

University of Trento

Bachelor Degree in Interfaces and Communication Technologies
Department of psychology and Cognitive Science
September 2013 - September 2016

Grants and Awards

  • Singapore's National Super Computing Centre January 2020 Cycle, Project: Computational study of Child Development in Low Resource Contexts (Project ID: 12001609)
  • University of Trento - Award of Merit (2018)
  • 1st Place - HIT Hub Innovazione Trentino - 1st Trento UX Challenge (2017) [Media coverage]

Selected Publications

  • Gabrieli, G., Bornstein, M. H., Setoh, P., & Esposito, G. (2022). Machine learning estimation of users’ implicit and explicit aesthetic judgments of web-pages. Behaviour & Information Technology, 1–11. [PDF]

  • Gabrieli, G., Bizzego, A., Neoh, M. J. Y., & Esposito, G. (2021). Fnirs-qc: Crowd-sourced creation of a dataset and machine learning model for fnirs quality control. Applied Sciences, 11(20), 9531. [Open Access - PDF].

  • Gabrieli, G., Lim, Y. Y., & Esposito, G. (2021a). Influences of social distancing and attachment styles on the strength of the halo effect. PloS one, 16(8), e0256364. [Open Access - PDF].

  • Gabrieli, G., Ng, S., & Esposito, G. (2021a). Hacking trust: The presence of faces on automated teller machines (atms) affects trustworthiness. Behavioral Sciences, 11(6), 91. [Open Access - PDF].

  • Gabrieli, G., Lee, A., Setoh, P., & Esposito, G. (2021). An analysis of the generalizability and stability of the halo effect during the covid-19 pandemic outbreak. Frontiers in Psychology. [Open Access - PDF].

  • Gabrieli, G., Bornstein, M. H., Manian, N., & Esposito, G. (2020a). Assessing mothers’ post-partum depression from their infants’ cry vocalizations. Behavioral Sciences, 10(2), 55. [Open Access - PDF].

  • Gabrieli, G., Azhari A., Esposito G. (2020) PySiology: A Python Package for Physiological Feature Extraction. In: Esposito A., Faundez-Zanuy M., Morabito F., Pasero E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore [PDF]

  • Gabrieli, G., Scapin, G., Bornstein, M.H., Esposito, G. (2019) Are Cry Studies Replicable? An Analysis of Participants, Procedures, and Methods Adopted and Reported in Studies of Infant Cries. Acoustics, 1, 866-883. DOI: 10.3390/acoustics1040052 [Open Access - PDF]

  • For the full list of publications, please check my CV.

Media & Press Coverage

Selected media appearance and press coverage:

Software & Tools

Downloads & links