Research teams
Our research staff is integrated into eight research teams, five of which have been accredited as high-performance (highest rating issued by the Basque Government).
Applied Mechanics
Main Researcher
María Jesús Elejabarrieta
15
Researchers
Lines of research
- Advanced Industrial Manufacturing: Development and numerical-experimental analysis of new technologies for metal forming; additive manufacturing technologies and predictive solutions.
- Advanced Materials: Experimental and numerical characterization of powders, erosion, and multiphase systems; CFD-DEM-FEA; contactless ultrasound; structural and vehicle dynamics; and vibroacoustic comfort in electric vehicles.
- Energy Sustainability of Industrial Processes: Decarbonization, consumption analysis, and life cycle assessment.
The research in Applied Mechanics focuses on analyzing the mechanical behavior of structural systems and materials, as well as optimizing production processes. Its efforts are directed toward key sectors such as automotive, industrial equipment, and consumer goods, with the aim of fostering a more efficient, innovative, and sustainable industry.
Chair of Computational Mathematics
Main Researcher
Enrique Zuazua
7
Researchers
Lines of research
- Partial differential equations
- Control, optimization and machine learning
- Modeling and control applied to energy, traffic, population dynamics...
We specialize in applied mathematics and machine learning, developing advanced methods to model, analyze, design, and control the dynamics of complex phenomena at the intersection of engineering, physics, biology, and the social sciences.
D4K – Deusto for Knowledge
Main Researcher
Pablo García Bringas
9
Researchers
Lines of research
- Advanced cybersecurity: Design of solutions for the protection of distributed systems, data integrity, and post-quantum algorithms.
- Hybrid quantum-classical computing: Development of methodologies to optimize hybrid systems and their integration into industrial environments.
- Applied artificial intelligence: Implementation of machine learning and deep learning techniques in bioinformatics, Industry 4.0, and process optimization.
Deusto for Knowledge (D4K) is a pioneering team in applied artificial intelligence, with expertise in cybersecurity, Industry 4.0, and bioinformatics. It has managed over 150 projects, published more than 300 scientific articles, and supervised 31 doctoral theses to date, with accumulated funding exceeding €15M.
Design Research Group
Main Researcher
Aiur Retegi
9
Researchers
Lines of research
- Design culture, management and strategy
- Design and new societal challenges
- New design methodologies and tools
The Deusto Design Research Group explores design as a driver of social, business, and technological innovation, addressing topics such as sustainability, sonification, user experience, digital fabrication, and inclusive design, fostering a multidisciplinary and human-centered approach to generate a positive impact.
Deustek
Main Researcher
Diego López de Ipiña
23
Researchers
Lines of research
- Ubiquitous computing applied to the generation of communities of people, objects and spaces that are more intelligent, sustainable and healthy.
- Disruptive technologies of hybrid computational intelligence and distributed and decentralised computing aimed at solving social challenges.
- Remote experimentation and computational thinking for educational communities and their environment.
We believe in technology at the service of society. We research the Internet of People (IoP) to integrate people and smart devices, applying IoT and AI with a human approach that fosters sustainability, personalization and active participation.
Deusto Smart Mobility
Main Researcher
Antonio Masegosa
26
Researchers
Lines of research
- Artificial Intelligence techniques to improve traffic management, people mobility and road safety
- Optimisation methods and machine learning for the improvement of logistics systems, both in urban and long-distance environments
- Development and application of ubiquitous computing methods, machine learning and edge computing in areas such as Health and Well-being and Industry 4.0
Deusto Smart Mobility was created in 2007 to contribute to more sustainable, efficient, comfortable, safe and inclusive mobility of people and goods through research and transfer of high-impact technologies such as Artificial Intelligence and Ubiquitous Computing.
Deusto Sustainable Research Group
Main Researcher
Roberto Garay
14
Researchers
Lines of research
- Energy in the Built Environment & Smart Grids
- Environmental analysis and Food Circularity
- ICT tools for sustainability. Blockchain & Data Spaces
Our group approaches sustainability from several complementary perspectives. We apply our knowledge of engineering (energy, electrical, processes, chemistry) and computer science (data science, data platforms, IoT, blockchain) to identify applications with economic, industrial, and social value.
eHealth
Main Researcher
Begoña García-Zapirain
11
Researchers
Lines of research
- Analysis and processing of biomedical, biological, environmental and food signals
- Telemedicine, telemonitoring and telecare for health and quality of life
- Quantum machine learning in the socio-health and environmental environment
The eVIDA team's mission is to design advanced 4.0 technological solutions for health and quality of life. It works with biomedical signal processing, traditional and quantum artificial intelligence, sensorics, 3D manufacturing and telemedicine tools, among others.
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