Jefferson Rodríguez

Jefferson Rodríguez

Academic profile

Research Article Accepted at ISBI 2021

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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.

This acceptance highlights our commitment to leveraging deep learning and image processing techniques for improved patient care and biomedical insights. I am grateful to my collaborators for their dedication and look forward to sharing our findings with the ISBI community.

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Embarking on My Doctoral Journey at UNICA

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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.

Joining Appgate as a Data Scientist

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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.

Paper Accepted at ACCV 2020

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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.