Researcher Data Scientist

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.

Photo of Asier Urueña

Asier Urueña

Researcher Data Scientist

TECNALIA Research & Innovation

Focus: AI in AEC, BIM, Optimization
Profiles: ORCID · Scopus · Pure · GitHub
Location: Bilbao, Basque Country, Spain
20+ Years in data analysis and data science
4 Scientific publications
25+ Apps and 35k+ downloads (Tokitek)
AI in AEC Applied research at Tecnalia

Research lines

From real-time 3D capture to energy optimization, with data and artificial intelligence

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BIM Point clouds Mixed reality

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.

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Digital twins IFC

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.

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MPC Evolutionary algorithms Operations research

Energy optimization and control

Model predictive control (MPC) with evolutionary algorithms for combined electrical and thermal energy storage systems.

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Recent publications

Latest work at international conferences and scientific repositories

All 4 publications →
Conference paper 2026 ★ Featured

Fast-Asset: A Real Time Scan-To-3D Point Cloud BIM-Ready Asset Generation Method for Small MEP Elements

Asier Urueña, Ibon Eskudero, Diego Sagasti, Sarah Noyé
Proceedings of the 2026 European Conference on Computing in Construction (EC³), July 2026
DOI
Preprint 2024

Fast-Asset: A Real Time Scan-to-3D Point Cloud Asset Generation Method for Small Individual Industrial Assets

Asier Urueña, Ibon Eskudero, Sarah Noyé, Diego Sagasti, Iñigo Mendialdua
SSRN (preprint)
DOI
Conference paper 2024

An Evolutionary Algorithm-Based Model Predictive Control for Combined Electrical and Thermal Energy Systems

Sarah Noye, Asier Urueña Andreu, Rubén Mulero Martínez, Ricardo Alonso Segade, Ángel Carrera Martín
Proceedings of the 2024 European Conference on Computing in Construction (EC³), pp. 703–710
DOI

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.

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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.

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