Jefferson Rodríguez

Jefferson Rodríguez

Academic profile

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academia

biometrics

deep-learning

events

Attending a Premier Summer School on Generative AI and Biometrics

less than 1 minute read

Published:

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.

experience

Attending a Premier Summer School on Generative AI and Biometrics

less than 1 minute read

Published:

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.

Embarking on My Doctoral Journey at UNICA

less than 1 minute read

Published:

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

less than 1 minute read

Published:

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.

news

Attending a Premier Summer School on Generative AI and Biometrics

less than 1 minute read

Published:

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.

Embarking on My Doctoral Journey at UNICA

less than 1 minute read

Published:

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

less than 1 minute read

Published:

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.

Research Article Accepted at ISBI 2021

less than 1 minute read

Published:

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.

Paper Accepted at ACCV 2020

less than 1 minute read

Published:

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.

publications

Research Article Accepted at ISBI 2021

less than 1 minute read

Published:

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.

Paper Accepted at ACCV 2020

less than 1 minute read

Published:

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.

research

Research Article Accepted at ISBI 2021

less than 1 minute read

Published:

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.

Paper Accepted at ACCV 2020

less than 1 minute read

Published:

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.

teaching