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Ph.D. in Information Technology Research (Computer Vision)

🏛️ University of Santiago de Compostela

International Master in Computer Vision

🏛️ University of Santiago de Compostela, Vigo, Coruña, and Porto

Bachelor degree in Computer Science

🏛️ University of Santiago de Compostela

Visiting Ph.D. student

🏛️ University of Trento (Italy)

Open-Vocabulary object detection on X-ray images

• At Multimedia and Human Understanding Group (MHUG)
• Supervised by Elisa Ricci

Research Fellow

🏛️ University of Santiago de Compostela (Spain)

Object Detection with Minimal Supervision: From Few-Shot to Open-Vocabulary

• At Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS)
• Supervised by Manuel Mucientes and Daniel Cores

Intern

🏛️ University of Santiago de Compostela (Spain)

Few-shot object detection

• At Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS)
• Supervised by Manuel Mucientes and Daniel Cores

Intern

🏛️ Gradiant (Vigo, Spain)

Deep Learning-based visual spoofing detection

FPU Predoctoral Fellowship (Highly Competitive, Spanish Ministry of Universities)

Spanish Ministry of Universities

Awarded to outstanding predoctoral candidates in Spain through a highly competitive national selection process, recognizing exceptional academic and research potential. Total gross amount over 4 years: €62,905.08.

Extraordinary Master’s Award

University of Santiago de Compostela, Vigo, Coruña, and Porto

Awarded to the top-performing students of the Master's program for outstanding academic achievement and excellence in their field of study.

Best Master's Thesis Award

University of Santiago de Compostela

Recognizes the best Master's thesis in the university for excellence in research, methodology, and academic contribution.

Best Bachelor's Thesis Award

University of Santiago de Compostela

Recognizes the best Bachelor's thesis in the university for exceptional research quality and originality.

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

In IEEE International Conference on Computer Vision (ICCV), 2025

Enhancing few-shot object detection through pseudo-label mining

Image and Vision Computing 154, 105379

Exploring Open-Vocabulary Models for Category-Free Detection

International Conference on Computer Analysis of Images and Patterns (CAIP), 2025

REOPEN: Leveraging Artificial Intelligence for Robust Predictive Monitoring in Process Mining

The REOPEN project aims to improve predictive models for complex process mining by using generative models to address data issues like imbalances and anomalies. It also develops novel object detection and tracking models for video to extract activities from unstructured processes, validating them in domains like forest fires and logistics. Role: member.

AZOR: Search, Location and Rescue of People on Land, and Fire Fighting and Prevention

The project addresses the development of an object detection system with RGB and thermal camera to be run on an FPGA on board a UAV for two use cases: (i) search, location and rescue of people on land; (ii) fire prevention and firefighting. Role: member.

Responsible AI for Process Mining 2.0 (RAI4P)

RAI4P advances Process Mining 2.0 by predicting process features and extracting events from videos of non-digitized processes, tackling noisy and incomplete data, while following Responsible AI principles and using Natural Language Generation for explanatory analytics. Role: member.

Automata Theory and Formal Languages

🏛️ University of Santiago de Compostela (Spain)

Object-Oriented Programming

🏛️ University of Santiago de Compostela (Spain)