Development and characterization of biomaterials for the regeneration and/or functional repair of tissues and organs, covering not only fundamental aspects of basic research but also the knowledge transfer to companies and to the clinic.

Development of multibody biomechanical models to analyse and simulate the dynamics of human movement, for clinical and sport applications; and design personalised robotic devices for movement assistance and rehabilitation.

Research in dosimetry with emphasis on its application in medical physics and healthcare.

Design, implementation and validation of serious games and gamification solutions. Strong expertise in computer graphics and game design with the capacity to model biomedical and psychosocial systems and to integrate them in the logics of games.

New equipment design, measurement methods and instrumentation systems in the fields of ATE, EMC, medicine and biotechnology. Especially interested in instrumentation for medical diagnosis, biotechnological processes and electromagnetic field measurements in the near-field region and automotive applications.

Study, evaluation and development of robotic systems based on the incorporation of perception capabilities for achieving more flexibility and a more intelligent behavior.

Analysis of bioinformatic and biomedical signals, high throughput screening (genetic association, gene expression, metabolomics) and physiological signals such as EEG, EMG and ECG. Large expertise in the modeling of risk prediction in the clinical environment. Currently focused on joint analysis of genetic and physiological signals in several areas such as Cardiac Risk Assessment or Anesthesia Depth Assessment.

Engineering techniques are applied to the medical field to improve rehabilitation processes and clinical therapies. These are evaluated and monitored through multichannel biosignal processing. Algorithms are efficiently designed so that the same techniques adapt and apply to respiratory, neuromuscular and neurological studies.

ANCORA works on biomedical image processing. The group applies traditional and deep learning approaches in order to recognize patterns and extract functional biomarkers in a wide range of clinical applications including brain development, vasculomics, radiomics, digital histopathology, rare diseases or translational cardiology.

They work in close collaboration with clinical and biology experts and our methodology aims for quantitative, reproducible and interpretable approaches.

The group has been awarded by the SGR quality seal from the Generalitat de Catalunya and collaborates with different hospitals and research centers in Spain and abroad.

ViRGIG research group focuses on computer graphics, covering both fundamental and applied areas. Their work explores: computational geometry and geometry processing; geometric and volumetric modeling, including hierarchical structures, discrete models, and the representation of highly complex systems; appearance modeling, natural phenomena simulation, visualization techniques, and advanced interaction methods for presenting models in virtual and augmented reality environments.

By integrating these areas, the group generates cross-disciplinary knowledge in interactive visualization, with direct applications in urban and rural environment modeling, medical visual analysis, crowd simulation, and the preservation of natural and cultural heritage.

The GPI group established in the late 1980s, it was one of Spain’s pioneers in applying signal processing techniques to images and video. Based at UPC, it comprises ten faculty members, PhD candidates, and around 40-50 thesis students. GPI specializes in image analysis and video representation, working on segmentation, face recognition, object tracking, gesture analysis, and remote sensing. It actively participates in national and international projects, regularly publishing in top journals. Recognized as a Consolidated Research Group since 1999, GPI continues to advance research in computer vision, multimedia processing, and artificial intelligence applications.

The group also applies its expertise beyond traditional image and video processing, contributing to fields such as biomedical imaging, remote sensing, and even genomics.

The BIOCOM-SC group involves researchers with a mathematical and/or physical background, from biophysics and nonlinear dynamics to nonequilibrium statistical mechanics or fluid mechanics. These different skills permit them to address increasingly complex problems in biology and other fields which, due to their inherent complexity, involve very different mechanisms. At this moment, BIOCOM-SC is the reference group in this field at the physics department at UPC. They study diverse biological processes, e.g. from molecular level (ion channel function) to cell (motion, contraction), organ (heart beating) and population level (microbial proliferation, epidemiology). For that, they use different methods and perspectives with the goal of developing clinical applications for biomedicine and environmental applications for bioengineering.

The main goal of GRBIO is to promote joint research in Biostatistics and Bioinformatics, either in advanced applications and in the theoretical and computational development of new methodologies. The gorup aims to address complex interdisciplinary issues and to make relevant scientific contributions on health and biology areas where closer collaboration is needed to promote future development and welfare of the society. It is an attainable goal provided that most of the investigators work side by side with researchers in the “Bio” field, including medical doctors, biologists and virologists and are exposed to scientific problems which need new thoughts, new models and the integration of researchers from several fields. The members of the team have diverse research backgrounds: Clinical Trials and Survival Analysis, Biostatistical Methods for integrative analysis of omics data and Development of statistical tools. GRBIO looks to respond to issues raised in Biosciences and Health in an integrative and comprehensive manner.