Hi!

I’m an Assistant Professor and Research Scientist in the Institute of Computing at the University of Campinas (UNICAMP), Brazil. I’m also a faculty member of the recod.ai (Artificial Intelligence Lab) and H.IAAC (Artificial Intelligence and Cognitive Architectures Hub).

Postdocs

Carlos Antônio Caetano Junior (IC/UNICAMP), “CSAM recognition models based on proxy tasks”, Fellowship: FAPESP

Helena Maia (IC/UNICAMP), “Natural language processing & cognitive architectures”, Fellowship: H.IAAC

Ph.D. Students

Diego Moreira (IC/UNICAMP), “Multimodal representation space for text guided data generation”, Supervisors: Sandra Avila, Hélio Pedrini, Scholarship: H.IAAC, FAPESP/BEPE, FAPESP

Gabriel Oliveira dos Santos (IC/UNICAMP), “Brazil in focus: A multimodal large language model aware of the Brazilian context for text generation”, Supervisors: Sandra Avila, Esther Colombini, Scholarship: H.IAAC

Jhéssica Silva (IC/UNICAMP), Supervisors: Hélio Pedrini, Sandra Avila, Scholarship: H.IAAC

João Medrado Gondim (IC/UNICAMP), Supervisors: Sandra Avila, Hélio Pedrini, Scholarship: H.IAAC

João Macedo (DCC/UFMG), Supervisors: Jefersson A. dos Santos, Sandra Avila

Levy Gurgel Chaves (IC/UNICAMP), “Transferability estimation scorers for efficient transfer learning”, Supervisors: Sandra Avila, Eduardo Valle, Scholarship: CAPES (May 2022), Google LARA 2021 & Santander

M.Sc. Students

Andreza Aparecida dos Santos (IC/UNICAMP), “Exploring domain generalization for CSAM classification”, Supervisors: Sandra Avila, Jefersson A. dos Santos, Leo Sampaio Ferraz Ribeiro

Beatriz Precebes (IC/UNICAMP), “Causal machine learning for cervical cancer classification”, Supervisors: Sandra Avila, Leo Sampaio Ferraz Ribeiro, Scholarship: DeepMind

Bruna Osti (IC/UNICAMP), “Causal disentanglement for skin lesion classification”, Supervisors: Sandra Avila, Alceu Bissoto

Eduarda Gavião (IC/UNICAMP), “Self-supervised learning for classifying black skin lesions”, Supervisors: Sandra Avila, Alceu Bissoto, Scholarship: DeepMind

Gil Carvalho (IC/UNICAMP), “Evaluating model compression techniques in CSAI”, Supervisors: Sandra Avila, Carlos Caetano

Marcela Medicina (IC/UNICAMP), “Multi-Level privacy for skin lesion classification: A federated learning approach”, Supervisors: Sandra Avila, Luiz Bittencourt

Nina da Hora (IC/UNICAMP), “Beyond the face: Unraveling the impact of facial geometric variation on recognition algorithms across different ethnicities”, Supervisors: Sandra Avila, Marisol Marini, Scholarship: DeepMind, CNPq

Undergraduate Students

Artur Alves Cavalcante de Barros (IC/UNICAMP), “Scene graph generation as proxy task for CSAI”, Supervisors: Sandra Avila, Carlos Caetano, Scholarship: FAPESP

Caio Petrucci Rosa (IC/UNICAMP), “Zero-shot age estimation for CSAI”, Supervisors: Sandra Avila, Leo Sampaio Ferraz Ribeiro, Scholarship: FAPESP

MC102: Algoritmos e Programação de Computadores 1s2024, 1s2023, 1s2022, 1s2021, 1s2020, 1s2019, 1s2018

MC886/MO444: Aprendizado de Máquina 2s2024, 2s2023, 2s2022, 2s2021, 2s2020, 2s2019, 2s2018, 2s2017

MC001: Tecnologias da Informação 2s2024

M0434: Deep Learning 2s2020, 2s2019

2024: Human Rights Academic Recognition Award, UNICAMP-Vladimir Herzog Institute, “Transformers-based Few-shot Learning for Scene Classification in Child Sexual Abuse Imagery” (Master thesis), M.Sc.: Thamiris Coelho

2023: Top 2% of most-cited researchers in the world, according to the Stanford University, Elsevier list

2023: Human Rights Academic Recognition Award, UNICAMP-Vladimir Herzog Institute, “Leveraging Self-supervised Learning for Scene Recognition in Child Sexual Abuse Imagery” (Master thesis), M.Sc.: Pedro Valois

2022: Google Awards for Inclusion Research, Google AIR 2022: Google Awards for Inclusion Research, “Dark Skin Matters: Fair and Unbiased Skin Lesion Models”

2022: Top 2% of most-cited researchers in the world, according to the Stanford University, Elsevier list

• sandra@ic.unicamp.br
• Office 8, Institute of Computing
• Av. Albert Einstein, 1251, Cidade Universitária Zeferino Vaz, 13083-852, Campinas/SP, Brazil