Eric Arazo

About me

Since January 2026, I have been a Computer Vision Researcher at FogSphere, where I work on applied AI research for visual understanding, model robustness, and reliable computer vision systems. My current work focuses on developing and evaluating AI models for real-world industrial applications, with an emphasis on trustworthy deployment, failure analysis, and practical research implementation.

From December 2023 to January 2026, I worked as an AI Scientist II at CeADAR, Ireland's Centre for Applied AI. There, I worked on model efficiency and trustworthiness across multiple data modalities, addressing areas such as model compression, domain adaptation, and generative AI.

From 2021 to 2023, during my postdoctoral position at Insight SFI Centre for Data Analytics at Dublin City University in Ireland, I applied and developed AI techniques for time series analysis, computer vision, video data and precision farming, medical imaging, and machine learning methods for water quality analysis.

During my PhD, I studied the training of neural networks under supervision and computation constraints, with a focus on computer vision applications, and developed algorithms to address key limitations in the field. I received my B.E. and M.E. in Telecommunications Engineering from Universitat Politècnica de Catalunya in Barcelona.

My primary research interest is the application and development of machine learning techniques to improve how AI systems understand and interact with the world, with a particular focus on building trustworthy, robust, and reliable AI solutions.