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I’m excited to announce that our paper “A Valid Watermark Is Not a Valid Identity: Spatial-Spectral Adversarial Face Evasion with Watermark Preservation” has been accepted at the IEEE International Joint Conference on Biometrics (IJCB 2026), in the special session When Biometrics Break (WBB): Security Implications of Performance Degradation, Misclassification, and Operational Drift.
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I’m happy to share that our Biometric Unit has reached an important milestone: our first two papers on watermarking and steganography have been accepted at important international conferences.
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I’m glad to announce that I have joined the Universidad de Montevideo (UM) as a professor in the Master’s in Data Science, offered by the Facultad de Ciencias Empresariales y Economía.
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I’m excited to share that I recently had the opportunity to participate in the International Summer School on Biometrics in Alghero, Sardinia. This year’s event was especially relevant to my research, as it focused on the impact of Generative AI on biometric systems.
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I commenced my doctoral studies in Computer Engineering at University of Cagliari, IT, initiating a structured research program in advanced deep learning for cybersecurity & Biometrics at the Pattern Recognition and Application Lab PRA Lab.
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I am pleased to announce that beginning on November 23, 2023, I will be teaching Neural Networks classes for the Master’s programs in Data Science and Big Data at EIG Business School, in collaboration with the Universidad Internacional del Ecuador (UIDE).
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I began my tenure as a Data Scientist at Appgate. In this capacity, I am dedicated to enhancing cybersecurity by focusing on fraud detection in bank transactions, biometric authentication, and device recognition.
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I am pleased to share that our paper, “A COVID-19 Patient Severity Stratification Using a 3D Convolutional Strategy on CT-Scans,” has been accepted for presentation at the International Symposium on Biomedical Imaging (ISBI) 2021. This study employs advanced 3D convolutional models to analyze CT scan data, aiming to improve patient severity stratification in clinical settings.
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I am pleased to announce that our paper, “Understanding Motion in Sign Language: A New Structured Translation Dataset,” has been accepted for presentation at the Asian Conference on Computer Vision (ACCV) 2020. This work introduces a novel dataset and approach for translating sign language motions, offering new insights into the interplay between visual perception and language processing.