Research line
Application area

PhD Students

Andrés Orlando López Henao
Since 2024 · Advisor: Luz Viviana Cobaleda E.
Método para la creación de líneas de productos de software intensivos en Inteligencia Artificial
Software Engineering
Angelower Santana Velásquez
Since 2023 · Advisor: Maria B. Salazar-Sánchez
Explainability and interpretability of artificial intelligence models in early hospital readmission prediction problems
Machine Learning Healthcare
Luis Felipe Buitrago Castro
Since 2025 · Advisor: Maria B. Salazar-Sánchez
Multimodal Models for Tuberculosis Lineage Classification through the Integration of Clinical and Radiographic Data
Machine Learning Biomedical Signal Processing Healthcare
Wilberth Ferney Córdoba Canchala
Since 2026 · Advisor: Julián D. Arias-Londoño
Uncertainty quantification in deep learning and Trustworthy AI for healthcare applications
Machine Learning Biomedical Signal Processing

Master's Students

Deiner Rivera Soto
Since 2024 · Advisor: Maria B. Salazar-Sánchez
Identification of Predictors of Dengue Severity and Mortality Using Machine Learning Algorithms
Machine Learning Biomedical Signal Processing Healthcare
Juan Felipe Gallo Rendón
Since 2026 · Advisor: Danny A. Múnera Ramírez
Green AI: Energy-efficient deep learning and MLOps
Machine Learning Industry
Placeholder MSc Student 3
Since 2024 · Advisor: Diego J.L. Botia Valderrama
Object detection for agricultural pest monitoring
Computer Vision & Image Analysis Machine Learning Agriculture

Undergraduate Students

Alejandro Vargas Ocampo
Since 2026 · Advisor: Julián D. Arias-Londoño
Automatic detection of Parkinson's disease from speech signals using difussion models
Machine Learning Biomedical Signal Processing Speech & Language Technologies
Alejandro Becerra Acevedo
Since 2026 · Advisor: Julián D. Arias-Londoño
Graph-based modelling of eye-tracking data for Parkinson's disease detection
Machine Learning Biomedical Signal Processing Computer Vision & Image Analysis
Diego Mario Salamanca Cárdenas
Since 2026 · Advisor: Julián D. Arias-Londoño
Domain adversarial training for cross-corpus of gait analysis in Parkinson's disease
Machine Learning Biomedical Signal Processing

Alumni

Former PhD, MSc, and BSc students who completed their degrees at In2Lab.

Name Degree Year Thesis Current position
Javier Esteban García Gallo PhD 2019 A Machine-learning-based Model for the One-year Mortality Prediction in Patients Admitted to an Intensive Care Unit with Diagnosis of Sepsis Postdoctoral researcher, ISARIC, Pandemic Sciences Institute, University of Oxford
Luz Viviana Cobaleda E. PhD 2017 Development of a personalization model for web applications in a context of model-driven development Professor, Universidad de Antioquia
Javier Fernandez Ledesma PhD 2016 Metodología para la construcción y reuso de metaprocesos como activos de software Entrepreneur
Antonio J. Tamayo Herrera MSc 2018 Metodología para el análisis automático de sentimientos en documentos a partir de técnicas de aprendizaje automático y lingüística computacional Professor, Universidad de Antioquia
Mario Alberto Giraldo Londoño MSc 2021 Diseño de una arquitectura de clasificación biclase basada en las Máquinas de Vectores de Soporte, MapReduce y Spark Data Engineer
German Eduardo Melo Acosta MSc 2017 Metodología para la detección automática de fraude a partir de técnicas supervisadas y semi-supervisadas, bajo condiciones de desbalance de clase AI and Data Architect | Data Scientist & ML Engineer | Co-Founder, Centraal Studio
Jheisson Argiro Lopez Restrepo MSc 2018 Modelo de Hibridación y Paralelización de Metaheurísticas Aplicado al Problema de Asignación Cuadrática PhD Student, University College Cork
Andrés Felipe Sanchez Prisco MSc 2017 Sistema para la Detección de Intrusos en Plataformas SCADA University Lecturer, Universidad de Antioquia
Jonny Alexander Uribe MSc 2012 Diseño e implementación de una aplicación móvil personalizada para el soporte y promoción de la adherencia al tratamiento en pacientes con riesgo cardiovascular Senior Data Scientist, Valtech
Jesús Andrés Hincapié Londoño MSc 2012 Mechanism To Define Target Architectures Independent Of The Model-To-Text Transformations In Model-Driven Web Engineering Methods Software Engineer
Martín Elias Quintero Osorio BSc 2020 Análisis comparativo de técnicas de deep learning para el reconocimiento de rostros en escenarios abiertos AI Solutions Architect, Cuemby

Interested in joining In2Lab? Contact us to discuss graduate opportunities and open research positions.