Aditya Gulati
PhD Student
Aditya Gulati is an ELLIS PhD student. He holds a Bachelor’s and Master’s degree in Computer Science Engineering from the International Institute of Information Technology Bangalore. His research interests lie in modelling human behaviour and artificial intelligence. His supervisors are Nuria Oliver (ELLIS Alicante), Miguel Angel Lozano (University of Alicante) and Bruno Lepri (Fondazione Bruno Kessler).
Link to ORCID profile: https://orcid.org/0000-0002-0356-2987
Publications in association with ELLIS Alicante
2025
02/25
Philadelphia, US
Philadelphia, US
Doh, M.,
Gulati, A.,
&
Oliver, N.
(2025).
Attractive by Design: How The Attractiveness Halo Effect Shapes AI Perception.
Collaborative AI and modeling of Humans (CAIHu) - Bridge program at AAAI 2025.
2024
11/27
Gulati, A.,
Martinez-Garcia, M.,
Fernandez, D.,
Lozano, MA.,
Lepri, B.,
&
Oliver, N.
(2024).
What is beautiful is still good: the attractiveness halo effect in the era of beauty filters.
Royal Society Open Science, 11(11).
Top 5% of research outputs scored by Altmetric
09/29
Milan, IT
Milan, IT
Gulati, A.,
Lepri, B.,
&
Oliver, N.
(2024).
Lookism: The overlooked bias in computer vision.
Fairness and ethics towards transparent AI: facing the chalLEnge through model Debiasing (FAILED) - Workshop at ECCV 2024.
07/18
Gulati, A.,
Martinez-Garcia, M.,
Fernandez, D.,
Lozano, MA.,
Lepri, B.,
&
Oliver, N.
(2024).
What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters.
International Conference on Computational Social Science; International Conference on Thinking.
2023
07/09
Gulati, A.,
Martinez-Garcia, M.,
Lozano, M. A.,
Lepri, B.,
&
Oliver, N.
(2023).
The Beauty Survey - Study Registration.
.
2022
09/27
Gulati, A.,
Lozano, M. A.,
Lepri, B.,
&
Oliver, N.
(2022).
BIASeD: Bringing Irrationality into Automated System Design.
Thinking Fast and Slow and Other Cognitive Theories in AI, AAAI Fall Symposium 2022.