About Me

Hello! I am a PhD Student in Machine Learning and Computer Vision. Welcome to my personal website. Here you can find an overview of my academic journey, professional experience, and current projects.


Resume

Education

2024 — Now
PhD Candidate - University of Zaragoza
2023 — 2025
Master in Robotics, Graphics and Computer Vision - University of Zaragoza
Master's Thesis: Semantic Recognition of Multi Agent Interactions in Videos.
2019 — 2023
Bachelor's Degree in Computer Science - University of Zaragoza
Bachelor's thesis: Patient monitoring in sleep studies with event cameras.

Experience

January 2025 — Present
Predoctoral Researcher (DGA Contract) — RoPert (UNIZAR)
September 2024 — December 2024
Research Assistant (Interaction Detection) — RoPert (UNIZAR)
Researched semantic recognition of multi-agent interactions in video data using Vision-Language Models (VLMs).
February 2024 — September 2024
Research Intern (Human-Centered Vision) — RoPert (UNIZAR)
Developed human-in-the-loop evaluation protocols for a real-time visual feedback system for EEG sensor placement.
February 2023 — June 2023
Research Intern (Sleep Analysis) — RoPert (UNIZAR)
Led the EventSleep architecture development, utilizing event-based vision to solve privacy and low-light challenges in sleep monitoring.
July 2022 - September 2022
Bitbrain
Implemented AI pipelines for Slow-Wave Detection in EEG and collaborated with neurotechnology experts.

Grants & Award

  • PhD Fellowship (DGA)

    Competitive predoctoral contract awarded by the Government of Aragon to fund PhD research in Computer Vision.

  • Best Bachelor Thesis Award

    Recognized by NTT DATA for excellence in research and technical development within the field of AI.

  • Research Initiation Grant (I3A)

    Early-stage research grant awarded by the Aragon Institute of Engineering Research for academic excellence.

  • Research Initiation Grant (I3A)

    Grant for an initial research stay to develop foundational skills in the Robotics and AI Group.

Languages

Spanish 100%
English 80%

Publications & Projects

TIMID: Time-Dependent Mistake Detection in Videos of Robot Executions

Under review | 2026

Nerea Gallego*, Fernando Salanova*, Claudio Mannarano, Cristian Mahulea, Eduardo Montijano

TIMID Teaser

Introduced a novel framework for identifying temporal mistakes in robotic tasks. By leveraging time-dependent analysis, we achieved high-precision detection of execution errors that traditional frame-by-frame models often overlook.

Paper Project Website

EventSleep2: Sleep activity recognition on complete night sleep recordings with an event cameras

CVIU | 2025

Nerea Gallego*, Carlos Plou*, Miguel Marcos, Pablo Urcola, Luis Montesano, Eduardo Montijano, Ruben Martinez-Cantin, Ana C. Murillo

EventSleep2 Teaser

Introduced an advanced neuromorphic architecture designed for long-term temporal consistency in event-based vision. Managed the acquisition and processing of full-night clinical datasets, overcoming data dimensionality challenges to enable open-vocabulary sleep activity recognition.

Paper Project Website

Vision-based feedback on correct sensor placement in medical studies

ROBOT | 2024

Nerea Gallego, Carlos Plou, Luis Montesano, Ana C. Murillo, Eduardo Montijano

ROBOT 2024 Teaser

Developed a real-time visual feedback system to assist in the precise placement of EEG sensors. Designed human-in-the-loop protocols and executed multi-subject data collection to ensure system robustness across different physiological profiles.

Paper Project Website

EventSleep: Sleep activity recognition with event cameras

ECCV Workshop | 2024

Carlos Plou, Nerea Gallego, Alberto Sabater, Eduardo Montijano, Pablo Urcola, Luis Montesano, Ruben Martinez-Cantin, Ana C. Murillo

EventSleep Teaser

Introduced the first EventSleep architecture for sleep monitoring using neuromorphic vision. Created a novel, high-dimensionality event dataset to address the limitations of traditional cameras in low-light and privacy-sensitive clinical environments.

Paper Project Website

Contact

Feel free to reach out to me via email or connect with me on professional networks.

Email: ngallego@unizar.es

GitHub: github.com/ngallego

LinkedIn: linkedin.com/in/nerea-gallego