51 research groups and unique R&D centers
51 research groups and unique R&D centers
The Universidad Politécnica de Madrid has 51 research groups aligned with the major themes in health and wellness.
In addition, it has unique R&D centers especially focused on health technologies.
UPM Health Tech brings together this research force to face the challenges of the future
Research centers of excellence
Research centers of excellence
Formally established in 1993 under the direction of professor Victor Maojo, the GIB’s main interest is to carry out research in the field of biomedical informatics and to train young researchers this interdisciplinary area.
Created in 1986, founding group of the CTB and CIBER-BBN. Its main research areas are: ICT for Personalized Medicine, Surgical Training and Image Guided Surgery, Neurorehabilitation Engineering and Brain Health.
Research, Technological Development and Innovation of advanced chemical, biochemical and in-vitro diagnostic systems, as well as in the implementation of photonic transducers and bio transducers on a chip, biokits, readout platforms, bioreactors, tissue-on-a-chip and organ-on-chips.
At AlisLab we are focused on understanding the molecular basis of allergenicity. Under the leadership of Dr. Araceli (“Ali”) Diaz Perales, the group takes different approaches combining in vivo, in vitro, and in silico studies to target the key molecular factors that give place to sensitization to allergens of plant origin.
The Laboratory for Clinical Neuroscience (LCN) was created in 2011 with the aim of exploring the cerebral basis of cognitive function in healthy people and in patients with neurological and psychiatric diseases. One of the key fields of work is neuroimaging.
This joint laboratory of the Hospital Universitario de Getafe and the CTB-UPM was created in 2015 to take advantage of the synergies derived from the collaboration of clinical experts in ageing from the Hospital Universitario de Getafe, together with their worldwide community of collaborators, and technologists from the CTB-UPM into a multi-disciplinary research team.
Widely recognised in Europe in the areas of Ontology Engineering, Semantic Infrastructure, Linked Data, and Data Integration. Our main research areas are: Ontological Engineering, (Social) Semantic Web and Linked Data, Natural Language, Semantic e-Science and the Future Internet.
The main target of our lab is to conduct research to develop new biomaterials for applications in tissue engineering, mainly based on silk fibroin in different formats and on the biofunctionalization of conventional biomaterials.
MEDAL research lines are focused on the extraction, analysis, integration, and interpretation of health data in its diverse forms (images, text, structured data, etc).
Vision: Contributing to improve health care delivery through advances in biomedical imaging technologies. Mission: Researching on new technological solutions to actual clinical or biological problems, especially with the aim of early diagnosis and treatment monitoring.
gNeC was created in 2014. It was born with the aim of integrating several disciplines to give answer and technical solutions to questions about the human physical and cognitive disabilities with a nervous system’s nature.
The main aim of this laboratory is the development of new devices for medical or social use in order to help practitioners and other related workers to improve people’s health and wellbeing.
Interdisciplinary research group which brings together cognitive and computational researchers, as well as clinicians, with the shared goal of understanding how higher cognitive functions and mental disorders emerge from brain activity.
Artificial intelligence for biomedical and health applications, AI and signal processing for the evaluation of neurodegenerative disorder, AI and image processing for the evaluation of COVID-19 disease, Complexity analysis of biomedical signals, among others.
LST promotes the incorporation of technologies in a wide range of formats to guarantee an improvement in the quality of life of the final users: patients and people with or without a disability.
Technology applied to the innovation of processes and services
Engineering of health and social services
The group, led by Dr. María Marcela González Groos, is composed of experts in different scientific fields and works on research in the fields of health, nutrition and physical exercise.
Research work on the influence of physical exercise on the health of specific populations.
We want to incorporate the advances that arise from the world of research and high performance to popular athletes, through an improvement of the sport technique.
CSS is to reach excellence in R+D+I and higher education, whilst offering the most innovative technology across all the disciplines involved in computational simulation.
The B105 Electronic Systems Lab is part of the Electronic Engineering Department at UPM, and focus their activities on Embedded System design, Wireless Sensor Networks and Cognitive Networks.
The Grupo de Tratamiento de Imágenes (GTI) [Image Processing Group] is a research group working on theory, methods, and applications of Digital Image and Video Processing, mainly for compression and analysis.
MAD HCI Lab Was created with the mission to explore the possibilities of applying information and communication technologies to teaching and learning.
We are a team of professionals and researchers dedicated to bioclimatic architecture, sustainable construction and ecological urbanism.
Created in 2000 from an initial proposal of several research groups belonging to the Departments of Electronic Engineering, Photonic Technology, Physics Applied to Information Technologies and Physics Applied to Architecture, Urban Planning and Environment.
Since 1982, our group has conducted research, development and innovation in theories, methods and applications of artificial intelligence techniques, with focus in intelligent agents, semantic technologies, machine learning and language engineering.
Our research lines cover a wide range of fields not only in Biometrics and Cryptography, but also in issues related to Biosignals, such as Stress Detection or Biometric Identification by means of Human Scent. In addition, databases gathering different biometric features.
We bring people close to technology and we bring technology close to people. We are experts in usability of applications for people without any digital knowledge.
We work in the fields of acoustics and the application of the information and communications technologies to propose possible solutions based on our experience in these fields to some of the challenges that our society is facing.
Lines of research: air quality, water treatment, waste management, energy, environmental management.
The Advanced Laser Based Manufacturing research group of the Laser Center of the UPM, has more than ten years of experience in LIFT applications, experience applied in the biochemical field and more specifically for the development of in vitro models of the immune system using bioprinting techniques.
The background of the Lab is on distributed systems, currently in the context of cloud computing, with strong emphasis in scalability, high availability, databases, complex event processing, middleware, service oriented architectures, and transactional information systems.
Research group formed by researchers and professors working in Synthetic Biology, DNA Computing, and Artificial Intelligence with different backgrounds: computer scientists, physicists, mathematicians, and biotechnologists.
The Decision Analysis and Statistics Group (DASG) was established in 1994 and now has 8 researchers and 4 PhD students in the fields of Operations Research and Management Science and Artificial Intelligence.
Created in 2016, it seeks to develop technological solutions to improve the lives of those affected by neurodegenerative diseases. Of special interest are those technologies related to sound and vibrations, both for their stimulation capacity and their possible therapeutic use.
Swarmgrid, swarm robotics, Local GDE, sensor networks, monitoring and smart meters.
Created in 2004 with the ambitious objective of leading the national audiovisual research scene, in close cooperation with the national and European industry,
The Speech Technology and Machine Learning Group (THAU) is part of the Department of Electronic Engineering , which belongs to the Technical University of Madrid, at the High Technical School of Telecommunication Engineering (ETSIT).
Located mainly in the ETSI Telecommunications and active since 1981, our Research Group is currently made up of 20 professors and predoctoral researchers.
Solid experience in electronic design, video encoding, digital television and convergence between audio, video and data over different broadcast networks (cable, satellite or radio).
Its composition is interdisciplinary, with researchers specialized in fields as diverse as medical image processing, voice signal processing, psychoacoustics and gamification.
Lines of Research: Robot kinematics and dynamics, robot control, human-machine interfaces for teleoperation, localization of mobile robots, parallel robots, underwater robots, reconfigurable electronic systems, telerobotics and teleoperation
In the Robotics and Cybernetics Research Group (ROBCIB) we focus our research on the development of robots and their applications.
The Bioelectromagnetism Laboratory of CTB-UPM is an international reference in the study of the pathology and effects of electromagnetic pollution, with more than 15 years of study in this field, publications in high impact journals and exhibitions in high level international scientific congresses.
Research of CIG members, both theoretical and practical, is devoted to modelization (from a statistical and machine learning perspectives), heuristic optimization, and neuroinformatics.
- Applications of Voice Processing and Speaker Identification in Security Environments
- Automatic Synthesis and Codesign HW / SW
- Remote Sensing
- Treatment of Voice Signal
For more than 20 years we have been developing numerous experimental techniques with which we can study and characterize almost any type of material and geometry in a very wide variety of service conditions.
The Center for Industrial Electronics is a University based center, integrating interdisciplinary research groups (Electronics, Power Quality and Telecommunication), motivated to educate engineers and develop new concepts, to be transferred to the Industry
Our group finds solutions to problems related to the interaction between materials and living beings, mainly microorganisms.
We also study the microbiological quality of urban air to assess its possible impact on human health.
The Applied Electromagnetism Group (GEA) has more than twenty years experience in developing software tools for the analysis and design of passive devices, periodic structures and antennas for space applications. Health research areas: evaluation of biological effects of electromagnetic fields, including hyperthermia and dosimetry.
Created in 2008 as a joint research laboratory between UPM and Instituto Cajal (IC-CSIC). The CCCL was created with the aim of combining experimental studies of the brain with computer science technologies, in particular with several neuroinformatic groups with expertise in statistics, informatics tools and analysis of images.
Study of brain connectivity and synchronization phenomena in cognitive neuroscience and applications in neurology and psychiatric diseases, among others lines of research.
The members of the Group of Mechanobiology of the Center for Biomedical Technology, Universidad Politécnica de Madrid, are interested in understanding the relationships interlinking genetics, cell internal ordering, biophysical properties and cell function.
Belongs to the Department of Mathematics Applied to Information and Communications Technologies.
The STRAST group carries out research on the following topics: Cyber-physical systems, High-integrity systems, Telematic Services Engineering in the corporate environment, Machine learning for systems and networks management, Digital identity, privacy and trust in service engineering and others
Highly qualified multidisciplinary team dedicated to R+D+i in Health and Performance, who will help you understand the different parameters of training and improving your performance.
The lines of work in the area of Biomedicine and biotechnology are:
- Modeling of ecological interactions in the human microbiota.
- Machine Learning analysis of the human microbiota.
- Machine Learning study of colon cancer markers.
- Application of Machine Learning in phenotyping of new crop lines.
- Application of Machine Learning in agro-ecological risk assessment.
- Ecosystem stability analysis.
Numerical methods development and implementation, one of the lines of research is on the fluid-mechanical study of cardiovascular flow.
The Organic Nanotechnology lab explores the use of nanomaterials to treat complex diseases as cancer, fibrotic and central-nervous system pathologies. Our aim is to develop targeted nanocarriers able to deliver therapeutic drugs specifically to diseased cells enhancing the therapeutic response.
Founded in 2011, CEMDATIC comprises three groups: Applied Photonics Group (GFA), Microsystems and Electronic Materials Group (GMME) and Optical, Electrical and Magnetic Properties of Materials and their Applications (POEMMA) group. We are focused on the development of electronic and optical materials along with the design, fabrication and application of sensing platforms, for key strategic sectors such as health, agro-food industry, environmental monitoring and security. Our target technologies are electroacoustic and photonic devices.