Hi, I'm Asier Urueña
Data Scientist @Tecnalia & Co-founder @Tokitek | Embodied & embedded AI | Operations Research & SCM | Industry, AEC, Retail
I research artificial intelligence applied to AEC (architecture, engineering and construction): scan-to-BIM, digital twins and energy optimization, at TECNALIA Research & Innovation. I am also co-founder and CEO of Tokitek.
More than 20 years of experience in data analysis and data science for industrial, logistics and retail companies, with training in Operations Research (Universidad de Deusto) and Data Science (Mondragon Unibertsitatea). I enjoy building solutions to business decisions using data and science as their core value.
Research lines
From real-time 3D capture to energy optimization, with data and artificial intelligence
Real-time scan-to-BIM and 3D capture
Fast-Asset: mixed-reality capture, deep-learning object detection and incremental 3D reconstruction to generate BIM-ready point clouds of MEP elements.
See summary →Digital twins and AI in construction (AEC)
Artificial intelligence applied to the building life cycle, with BIM/IFC and digital twins as the working foundation.
See summary →Energy optimization and control
Model predictive control (MPC) with evolutionary algorithms for combined electrical and thermal energy storage systems.
See summary →Recent publications
Latest work at international conferences and scientific repositories
Fast-Asset: A Real Time Scan-to-3D Point Cloud Asset Generation Method for Small Individual Industrial Assets
An Evolutionary Algorithm-Based Model Predictive Control for Combined Electrical and Thermal Energy Systems
Latest posts and news
Publication summaries and website news
Relaunching the website
A new personal website in English and Spanish: my research, publications, a detailed CV and the old course certificates, which keep their URLs.
Read article →Fast-Asset at EC³ 2026
A plain-language summary of Fast-Asset, a real-time method to generate BIM-ready point clouds of small MEP elements, presented at the 2026 European Conference on Computing in Construction.
Read article →