Víctor Xesús Barreiro Domínguez

I have a degree in Computer Engineering (2018-2022) from the Universidade de Santiago de Compostela and I have completed the Master in Artificial Intelligence (2022-2024) at the same university. I have done professional internships at the Galician Automotive Technology Center (CTAG) and at GRADIANT, the Galician Telecommunications Technology Center, where I worked on artificial intelligence projects.

My research career began at CiTIUS, where I obtained an initiation contract that allowed me to develop my Master's Thesis in collaboration with the center. Currently, I am carrying out my PhD at CiTIUS, funded by the University Teacher Training grants (FPU 2022) of the Spanish Government. My research interests include deep learning and generative models applied to remote sensing and multispectral image processing.

Funding & Scholarships

2023 — University Teaching Training Scholarship 2022 (Ministry of Science, Innovation, and Universities). Competitive public call.
Funding for a full-time PhD contract to conduct research and develop academic training with the goal of becoming a university professor.
2022-2023 — Master's Talent Scholarship for People with Disabilities (Fundación ONCE). Competitive public call.
2021-2022 — Undergraduate Scholarship for People with Disabilities (Fundación Adecco). Competitive public call.
2021-2022 — Fundación Universia Scholarship 2021-2022 for People with Disabilities. Competitive public call.
2020-2021 — Undergraduate Scholarship for People with Disabilities (Fundación Adecco). Competitive public call.
2020-2021 — Fundación Universia Scholarship 2020-2021 for People with Disabilities. Competitive public call.

Internships & Positions

Predoctoral Researcher (FPU)2023 — Present

PhD Candidate in Applied AI for Remote Sensing

CiTIUS — Computer Architecture Area, Multispectral and Hyperspectral Image Group

Research on deep learning and generative models for multispectral remote sensing imagery and ecosystem analysis.

Research StayMay 2025 — Jul 2025

Visiting Researcher — IBM Research Zurich (AI for Climate Impact group)

Research stay focused on AI methods for climate impact analysis and mitigation, collaborating with the ACT group on innovative solutions for environmental challenges.

Research PositionJan 2023 — Oct 2023

Research Initiation Investigator

CiTIUS — Computer Architecture Area, Multispectral and Hyperspectral Image Group

Improved deep learning classification models for multispectral remote sensing imagery. Adapted Dataloaders and DAGAN models to multispectral data, achieving enhanced classifier performance for ecosystem analysis.

NLP InternshipJul 2022 — Sep 2022

Intelligent Systems Intern

GRADIANT — NLP Division, Intelligent Systems Department

Enhanced automatic Q&A generation systems in Spanish. Developed translation verification tools using NLLB models and improved English reading comprehension datasets. Received recommendation letter for Master's in AI.

Computer Vision InternshipMar 2022 — May 2022

ADAS Systems Intern

CTAG — Advanced Driver Assistance Systems, Vision Systems

Developed traffic sign classification system using SVM models. Analyzed RGB, HSV, LAB color spaces and HOG/HAAR descriptors for CPU-optimized execution. Achieved high accuracy with low computational overhead.