Jefferson Rodríguez

Jefferson Rodríguez

Academic profile

Teaching Neural Networks Course at EIG Business School

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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).

This posting provides an excellent opportunity to share my expertise in deep learning and to contribute to the academic growth of future professionals in the fields of data science and big data analytics. I look forward to engaging with the students and fostering a rigorous understanding of Neural Networks and their applications.

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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.

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.

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.