Research Groups

Group name: Bioinformatics and Biomedical Signals Lab (B2SLab)

Principal investigator: Alexandre Perera

Research lines: B2SLab activity involves Biomedical Engineering, Bioinformatics and Machine Learning and Statistics under the light of more than two decades of experience in clinical area and biology. The lab has extensive experience in the analysis of biomedical signals, and holds strong expertise in the use of AI techniques on the analysis of clinical datasets, including the modelling of the evolution of large incidence diseases such as diabetes with Deep Learning techniques, singularly proposing the conceptualization of digital twins in clinical area, construction, quality control and auditing of prediction models, and also research in rare diseases such as with the share4rare project.

Main research lines are:

  1. Biomedical Engineering
  2. Bioinformatics
  3. Machine Learning and Statistics

Spin-offs: eSense Systems, Exheus, Vincer AI

Website: http://b2slab.upc.edu/

Group name: BIOsignal Analysis for Rehabilitation and Therapy Research Group (BIOART).

Principal investigator: Miguel Ángel Mañanas.

Research lines: the BIOART group applies engineering techniques 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. Main research objectives:

  1. To develop quantitative tools to monitor muscular activity and fatigue tendency, as well as CNS control strategies for muscular activation during rehabilitation.
  2. To provide new aid tools to clinicians for assisted ventilation.
  3. To improve the detection and characterization of the brain’s activity and connectivity.

Spin-offs:

Website: https://bioart.upc.edu/

Group name: Computer Graphics (CG).

Principal investigator: Daniela Tost Pardell.

Research lines: 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. Main research lines:

  • Professional training, screening, rehabilitation and education.
  • User-centric developments that provide adaptive assistance mechanisms for users without computer literacy and for users with special needs.


Spin-offs:

Website: https://sgcreb.cs.upc.edu/

Group name: Biomedical Image Processing group (ANCORA)

Principal investigator: Raul Benitez Iglesias

Research lines: ANCORA is a research group of the UPC working 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. ANCORA works in close collaboration with clinical and biology experts and its methodology aims for quantitative, reproducible and interpretable approaches.

Spin-offs:

Website: https://futur.upc.edu/ANCORA

Group name: Biomechanical Engineering Lab 

Principal investigator: Josep Maria Font

Research lines: the research group focuses on developing 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. Current research lines include:

  • Capture and analysis of human movement. Instrumented analysis of normal and pathological gait.
  • Development of neuromusculoskeletal models of the human body using multibody dynamics techniques.
  • Development of dynamic contact models.
  • Dynamic simulation of human movement and motion prediction techniques based on optimal control formulations.
  • Design of robotic systems for movement assistance and rehabilitation.
  • Design of movement monitoring systems for rehabilitation.
  • Development of pilot studies and clinical studies on rehabilitation technologies.

Spin-offs: Able Human Motion

Website: https://biomec.upc.edu/

Group name: Electronic and Biomedical Instrumentation (IEB)

Principal investigator: Javier Rosell Ferrer

Research lines: New equipment design, measurement methods and instrumentation systems in the fields of Automatic Test Equipment (ATE), ElectroMagnetic Compatibility (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. Research activities are organized in 3 areas:

  • Design of medical equipment and systems.
  • Electrical Impedance Spectroscopy and Tomography.
  • Electromagnetic Compatibility and Safety

Spin-offs:

Website: https://ieb.eel.upc.edu/

Group name: Biomaterials, Biomecànica i Enginyeria de Teixits (BBT)

Principal investigator:Maria Pau Ginebra

Research lines: The BBT’s main scientific goal is the development of biomaterials for tissue and organs regeneration/functional repair, from a basic scientific approach to an applied point of view, by transferring the generated knowledge to bio companies and hospitals. 

Our research, which involves a multidisciplinary approach to the problem, aims to cover both basic science regarding the characterization of the interactions between biological entities and the developed materials, and technological aspects to be transferred to biocompanies and hospitals.

The BBT is divided in three main lines of research: 

  1. Plasma for Biomedical Applications
  2. Plasma for Biomedical Applications
  3. Advanced Metallic Biomaterials and Functionalization

Expertise on a wide range of biomaterials for different applications: ie. dental implants, hip prosthesis, bioceramics,medical textiles.

Spin-offs: Mimetis Biomaterials

Website: https://biomaterials.upc.edu/en

Group name: Dosimetry and Medical Radiation Physics (DRM)

Principal investigator: Maria Amor Duch Guillen

Research lines: The group works in different areas of research related to applications of ionizing radiation, particularly in the medical field:

– Dosimetry of patients and workers who are professionally exposed to ionising radiation, particularly in the area of interventionist radiology. 

– Characterization of thermoluminescent materials in order to optimize their behavior according to their later use: environmental or personal dose.

– Metrology of ionizing radiation: determination of the reference values in the dosimeter quantities of interest, calibration of measurement systems and detection of ionizing radiation.

Spin-offs:

Website: https://futur.upc.edu/DRM

Group name: Research Group on Intelligent Robotics and Systems (GRINS)

Principal investigator: Alícia Casals

Research linesThe goal of the research group is the study, evaluation and development of robotic systems based on the incorporation of perception capabilities for achieving more flexibility and a more intelligent behavior. Specifically the design and development of image processing and computer vision systems, specially oriented to control, guidance and supervision of robotic systems; robotic systems adapted to specific environments, and multiagent systems (robots and persons) with cooperation capabilities. At present the main working fields are medical robotics, both surgery and assistance, underwater robotics, mobile robots control, distributed control systems and perception.

The main working areas in medical robotics are:

  1. Assistive robotics: Environment interpretation and human intention for robot assistance in daily living activities.
  2. Rehabilitation robotics: Development of control strategies for assist as needed rehabilitation.Surgical robotics: Development of control strategies for assistance in surgery, either teleoperated or in comanipulation.
  3. Robot assistance for disabled

Spin-offs: Thinking Forward, Rob Surgical Systems, Surgitrainer

Website: https://grins.upc.edu/en

Group name: Optical Engineering Research Group (GREO-CD6)

Principal investigator: Meritxell Vilaseca Ricart

Research linesThe Optical Engineering Research Group belongs to the UPC Management, Instrumentation and Systems Development Center (CD6), which aims to create new knowledge through applied research and bring them to the market through transfer contracts, patent licenses or the creation of spin-off companies. The group’s activity is dedicated to both applied research and transferring new applications based on the design of optical and photon devices. 

The fact that optical engineering and photonics are transverse technologies that can give high added value to industrial applications has caused knowledge transfer activities to experience strong growth. The technology portfolio includes the following: Design of optical systems and sensors, Instrumentation Development, Optical Metrology, Biomedical Instrumentation, Spectral and Color Technologies.

Spin-offs:

  • Visiometrics
  • Sensofar Medical
  • Sensofar
  • SnellOptics
  • MicroPap
  • Obstech
  • QPO

Website: http://www.cd6.upc.edu/

Group name: Innovation in Materials and Molecular Engineering – Biomaterials for Regenerative Therapies (IMEM-BRT)

Principal investigator: Carlos Alemán Llansó

Research linesThe IMEM-BRT group’s research activity is oriented towards the design, synthesis, characterization and use of polymeric materials with applications in biomedicine and engineering. From an applied point of view, the four pillars that support activity:

1) the development of multifunctional detection-release devices that allow the presence of biomolecules in a physiological environment to be quantified, and, depending on needs, the controlled release of this biomolecule, which has previously been charged to the device; 2) the manufacture of biomedical sensors, both for the detection of bioanalytes and microbial infections, adapted to market requirements (eg non-invasive glucose and lactate sensors by the use of sweat; and sensors in implantable prosthesis capable of identifying the formation of biofilms; 3) the development of materials and devices for tissue regeneration, particularly heart tissue; and 4) the formulation of polymeric coatings for the protection of metal structures against corrosion.

Spin-offs:

Website: http://recerca.upc.edu/imem/index.htm

Group name: Technical Research Centre for Dependency Care and Autonomous Living – Integrated Smart Sensors and Health Technologies (CETPD-ISSET)

Principal investigator: Andreu Català

Research linesThe Integrated Smart Sensors and Health Technologies (ISSET) Research Group is composed by UPC members which are part of the CETpD and experts belonging to the medical and health fields. The research areas include: Digital design and VLSI, CMOS-MEMS, Integrated sensors, Embedded Systems, Artificial Intelligence, Deep Learning, eHealth and Dependency Aid.

CETpD’s main research goal consists in the knowledge creation within the field of technology addressed to the dependency care area. In this way, the main interest is to improve the quality of life of people with dependency care assistance needs. Particularly, one of the main objectives relies on searching for new paradigms related to human movement analysis, usability and social robotics. CETpD directly cooperates with clinicians from several hospitals around Barcelona and some hospitals along Europe, developing research activities and projects in the dependency care area.

Spin-offs:

Website: http://cetpd.epsevg.upc.edu/

Group name: Visualisation, Virtual Reality and Graphic Interaction Research Group (ViRVIG)

Principal investigator: Àlvar Vinacua

Research linesViRVIG performs research, education and training activities in visualization, geometric and volume modeling, computational geometry, animation, rendering, virtual reality and advanced interaction.

The group focuses on research in modelling, visualisation and advanced graphics interaction and its application to virtual reality. The group’s objectives are: To produce high-quality research results in the areas of visualisation, geometric and volumetric modelling, physically based animation, virtual reality and advanced interaction; to train new researchers and doctoral students in these areas; to foster and maintain strong international cooperation; to work on relevant research projects funded by various institutions (EU, CICYT, etc.); to transfer the results of the group’s research and VR applications (virtual prototypes for industrial design, medical applications, architecture, cultural heritage, low-cost VR systems, etc.) to industry and other organisations.

Spin-offs:

Website: https://www.virvig.eu/

Group name: GPI Image and Video Processing Group

Principal investigator: Josep Ramon Casas

Research lines: The GPI is focused on visual signal processing techniques for visual content analysis and representation. The GPI has two lab rooms for capturing data, experimentation and testbeds: a Smart Room and a recently build Audiovisual Recording Lab. Additionally, a development platform and software libraries were created by the group under the name of ImagePlus. They are constantly updated in a collaborative manner and represent a key element for our research and technology transfer activities.

Main research lines are: 

  • Deep learning for detection
  • Segmentation and classification of medical imaging
  • Survival analysis
  • Medical image analysis using mathematical morphology and computer vision tools
  • Face detection and recognition
  • Multi-view analysis for stereo and 3D reconstruction
  • Object tracking, body tracking, gesture analysis, emotion recognition and modelling of human activity

Spin-offs:

Website: https://imatge.upc.edu/web/

Group name: Speech Processing Group (VEU)

Principal investigator: Javier Hernando Pericas

Research linesThe research area of the Speech Processing Group (VEU) is the treatment of speech. The VEU works on language engineering and speech processing. Its main areas of research are speech coding, robust speech features extraction, text-to-speech conversion, speech recognition, speech-to-speech translation and spoken dialogue. Its main objective is to develop verbal communication systems with the aim of overcoming linguistic barriers and enhancing the accessibility of information systems.

Spin-offs:

Website: http://www.talp.upc.edu/

Group name: Mathematical and Computational Modeling (LaCàN)

Principal investigator: Marino Arroyo

Research linesThe goal of the research group LaCàN is to develop new mathematical and computational models to enable quantitative and predictive science and engineering. A central theme in all activities of the group is pushing the state of the art in the mathematical modeling of complex phenomena using partial differential equations and their numerical approximation with novel computational methods. 

We cover the following research lines: Understanding the dynamics of bilayer membranes and their interaction with membrane proteins; Modeling epithelial mechanics; Developing mathematical models and finite element methods for coupled systems of interfacial/bulk  partial differential equations; Developing numerical tools for inferring the forces that drive morphogenesis; Modeling cell migration and wound healing processes; Describing the smaller scales of biological tissues; Bridging the scale gap between the organ or organoid level and the subcellular level.

Spin-offs:

Website: https://www.lacan.upc.edu/

Group name: Intelligent Data Science and Artificial Intelligence (IDEAI)

Principal investigator: Karina Gibert

Research linesThe group’s scientific activity focuses on the design and development of techniques of artificial intelligence and science of intelligent data and methodologies for the analysis and improvement of processes related to people’s health, welfare and social inclusion, as well as health systems in all their formations. In particular, the group has experience in machine learning methodologies, data science, smart decision support systems, mass data, signal processing in general and in particular sensor data (IOT), biomedical signals, 2D and 3D medical image, medical robotics and assistive technologies in the fields of rehabilitation, clinical studies, and diagnostic, treatment, training and sport support systems. 

Spin-offs: ProcessTalks

Website: https://ideai.upc.edu/en

This project has been co-funded by the European Union through the ERDF (European Regional Development Fund) and has the support of the Secretariat of Universities and Research, Ministry of Enterprise and Knowledge of the Government of Catalonia.