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Sport Research Portfolio

Research and Innovation Support Service

January 2019

UPC Sport Research Portfolio 2

Summary

Summary ..................................................................................................................................................................... 2

Introduction ................................................................................................................................................................ 4

Thematic classification of the research groups .......................................................................................................... 5

Research Groups ....................................................................................................................................................... 11

ADR&M ................................................................................................................................................................. 11

ANCORA ................................................................................................................................................................ 13

B2Slab ................................................................................................................................................................... 15

BIOART .................................................................................................................................................................. 17

BIOCOM-SC ........................................................................................................................................................... 19

BIOMEC ................................................................................................................................................................. 21

BIOSPIN ................................................................................................................................................................. 23

CIRCUIT ................................................................................................................................................................. 24

CETpD .................................................................................................................................................................... 26

DONLL ................................................................................................................................................................... 28

DRM ...................................................................................................................................................................... 30

GBMI ..................................................................................................................................................................... 32

GCEM .................................................................................................................................................................... 34

GEOMVAP ............................................................................................................................................................. 36

GESSI ..................................................................................................................................................................... 38

GIE ......................................................................................................................................................................... 40

GPI ......................................................................................................................................................................... 42

GPLN ...................................................................................................................................................................... 44

GRUP ISI ................................................................................................................................................................ 46

IEB ......................................................................................................................................................................... 48

InSup ..................................................................................................................................................................... 50

KEMLG ................................................................................................................................................................... 52

LACÀN ................................................................................................................................................................... 54

LARCA .................................................................................................................................................................... 56

LOGPROG .............................................................................................................................................................. 58

MICROTECH LAB ................................................................................................................................................... 60

RFEMC ................................................................................................................................................................... 62

SIC ......................................................................................................................................................................... 64

Research and Innovation Support Service Universitat Politècnica de Catalunya - UPC

3

TECTEX .................................................................................................................................................................. 66

ViRVIG ................................................................................................................................................................... 68

VIS ......................................................................................................................................................................... 69

Others ........................................................................................................................................................................ 72

SIMMA LAB ........................................................................................................................................................... 72

Graphs and data tables ............................................................................................................................................. 74

Groups that have answered the survey ................................................................................................................... 76


Introduction

This document reflects the will of the Universitat Politècnica de Catalunya (UPC) to identify the UPC research groups’ activity, in order to analyse the groups that investigate in the sports sector.

The document is made up of about thirty groups and collects information from each one of them starting with a brief description of his research and ending with a compilation of competitive projects, agreements, patents and spinoffs that the group has in the field of sports.

The information collected in this document has been mainly compiled through the web pages of the UPC research groups, and completed by the interested researchers through a survey that took place between March 14 and the April 29 2019.

The result of this effort is this document, which briefly and synthetically collects a first approach to the Sport Research Map of the University.

Thematic classification of the research groups

Sport Topics

Biom

edic

al e

lect

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men

tatio

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r sp

orts

ac

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Biom

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s and

sign

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es

Bioi

nfor

mat

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pplie

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spor

t

Biom

ater

ials

app

lied

to sp

ort

Cont

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nd m

anag

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wat

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nd o

ther

wat

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Cont

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syst

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and

optic

al s

enso

rs f

or s

port

s tit

i

Dyna

mic

of h

uman

mov

emen

t

ECG

and

EMG

mon

itorin

g, st

udy

and

cont

rol

Med

ical

Imag

ing

Mat

hem

atic

al s

imul

atio

n ap

plie

d to

spo

rt. V

irtua

l Re

ality

and

gra

phic

inte

ract

ion

Stud

y of

spor

ts b

ehav

iour

and

per

form

ance

Spor

ts L

eagu

e Pl

anni

ng

Spor

ts m

ater

ial

Spor

ts b

iom

echa

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and

mec

hani

cal b

ehav

iour

of

livin

g tis

sue

Tech

nolo

gy fo

r Par

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pic

athl

etes

and

for s

port

s ac

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in th

e el

derly

Text

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spor

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Trac

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and

reha

bilit

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mus

cle

inju

ries

Visi

on a

nd sp

ort

Robo

tics a

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d to

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bilit

atio

n

Radi

atio

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Wel

lnes

s and

hea

lth

UPC

Res

earc

h gr

oups

ADR&M – Architectural, Design: Representation and Modelling

X

X

ANCORA - Anàlisi I control del ritme cardiac

X X X

B2SLab – Bioinformatics and Biomedical Signals Laboratory

X X X X


BIOART – Biosignal Analysis for Rehabilitation and Therapy

X X X

BIOCOM-SC – Computational Biology and Complex Systems Group

X X

BIOMEC - Biomechanical Engineering Lab

X X X X X X X

BIOSPIN - Biomedical Signal Processing and Interpretation

X

X

CIRCUIT - Communication Circuits and Systems Research Group

X X X X X

CETpD - Technical Research Centre for Dependency Care and Autonomous Living

X X X X X

DONLL - Nonlinear dynamics, nonlinear optics and lasers

X

DRM - Dosimetry and Medical Radiation Physics

X

GBMI - Molecular and Industrial Biotechnology Group

X

GCEM - Electromagnetic Compatibility Group

X X X

GEOMVAP – Geometry of Manifolds and Applications

X X


7

GESSI - Group of software and Service Engineering

X

GIE– Engineering Informatics Group

X X

GPI - Image and video Processing Group

X X X

GPLN - Natural Language Processing Group

X

GRUP ISI – Instrumentation, Sensors and Interfaces Group

X X X

IEB – Electronic and Biomedical Instrumentation

X X

InSup – Surface Interaction in Bioengineering and Materials Science Research Group

X X X X X X X X

KEMLG - Knowledge Engineering and Machine Learning Group

X X

LACÀN - Numerical Methods for Applied Sciences and Engineering

X X X

LARCA - Laboratory of Relational Algorithmics, Complexity and Learnability

X

LOGPROG - Logic and Programming

X X


MICROTECH LAB X X X X X

RFEMC - Radiofrquency and Electromagnetic Compatibility Group in Communication Networks

X X X

SIC - Smart Control Systems

X

TECTEX - Textile Technology Research Group

X

ViRVIG - Visualisation, Virtual Reality and Graphic Interaction Research Group

X X

VIS - Vision and Intelligent Systems

X X X X


9

Biom

edic

al

elec

tron

ic

inst

rum

enta

tion

for

spor

ts

activ

ity

Biom

edic

al sy

stem

s and

sign

als i

n at

hlet

es

Bioi

nfor

mat

ics a

pplie

d to

spor

t

Biom

ater

ials

appl

ied

to sp

ort

Cont

rol a

nd m

anag

emen

t of w

ater

for s

wim

min

g po

ols

and

othe

r wat

er sp

orts

Co

ntro

l sy

stem

s an

d op

tical

se

nsor

s fo

r sp

orts

co

mpe

titio

ns

Dyna

mic

of h

uman

mov

emen

t

ECG

and

EMG

mon

itorin

g, st

udy

and

cont

rol

Med

ical

Imag

ing

Mat

hem

atic

al

simul

atio

n ap

plie

d to

sp

ort.

Virt

ual

Real

ity a

nd g

raph

ic in

tera

ctio

n

Stud

y of

spor

ts b

ehav

iour

and

per

form

ance

Spor

ts L

eagu

e Pl

anni

ng

Spor

ts m

ater

ial

Spor

ts b

iom

echa

nics

and

mec

hani

cal

beha

viou

r of

liv

ing

tissu

e Te

chno

logy

for

Par

alym

pic

athl

etes

and

for

spo

rts

activ

ity in

the

elde

rly

Text

ile E

ngin

eerin

g ap

plie

d to

spor

t.

Trac

king

and

reha

bilit

atio

n of

mus

cle

inju

ries

Visio

n an

d sp

ort

Robo

tics a

pplie

d to

reha

bilit

atio

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Radi

atio

n

Wel

lnes

s and

hea

lth

Number of UPC Research groups linked to this topic

5 10 9 3 1 3 4 11 3 6 4 1 1 4 1 2 5 3 5 1 3

Number of UPC researchers linked to this topic

49 84 108 71 22 20 43 88 36 120 32 7 7 73 12 18 57 53 69 8 39

ECG and EMG monitoring, study and control

13%

Biomedical systems and signals in athletes

12%

Bioinformatics applied to sport9%

Biomedical electronic instrumentation for sports

activity6%

Mathematical simulation applied to sport. Virtual

Reality and graphic interaction

7%

Tracking and rehabilitation of muscle injuries

6%

Robotics applied to rehabilitation

6%

Dynamic of human movement

5%

Study of sports behavior and performance

5%

Sports biomechanics and mechanical behavior of

living tissue5%

Control systems and optical sensors for sports

competitions4%

Medical Imaging4%

Vision and sport4%

Biomaterials applied to sport2%

Textile Engineering applied to sport.

2%

Wellness and Health4%

Control and management of water for swimming pools

and other water sports1% Sports Leage Planning

1%

Sport material1%

Technology for paralimpic athletes and for sports activity in the elderly

1%

Radiation1%

Thematic percentage of the research groups

Research Groups

ADR&M

RESEARCH CENTRE/GROUP

Name: ADR&M – Architectural, Design: Representation and Modelling

Web: https://futur.upc.edu/ADR%25M

GENERAL DESCRIPTION OF THE ACTIVITY

The aim of the ADR&M research group is to strategically consolidate innovative lines of the researchers that have developed in the UPC’s Department of Architectural Representation a scientific production and technology transfer with tendency and desire for improvement.

The experience carried out as well as the results obtained (restoration of heritage, representation of architectural projects, application of ICT technologies to the production of representation models at various scales, from architectural systems to urban complexity, design assessment - from product or interiors and educational research with ICT tools applied to architecture), all advice to intensify the most productive research areas, optimizing productivity and resources.

Since its creation in 2012, the group focused primarily on carrying out the MINECO R & D project, (EDU2012-37247), "E-learning 3.0 in the teaching of architecture. Case studies of educational research for an immediate future "and the teaching innovation project, AGAUR. MOOC "From the reality to the project. From the project to augmented reality" (2014 MOOC 00019), as well as tutoring and directing the doctoral thesis of some of its members attached to these projects.

SPECIFIC AREAS OF RESEARCH IN SPORT FIELD

The following activities define the priorities currently pursued by ADR&M group:

• Multimedia • Visualisation, virtual reality

COMPETITIVE PROJECTS

Competitive project grants in sport field since 1st January, 2016: 104.544,00 €

A current project to be highlighted in the sport field is:

Active Assisted Living (AAL) The general objective of the AAL Program is to increase the quality of life of the elderly, the quality and effectiveness of the health and social welfare systems and in turn strengthen the industrial base of Europe.

Amount: 104.544,00 €

https://futur.upc.edu/ADR%25Mhttp://www.mincotur.gob.es/PortalAyudas/programaAAL/Descripcion/Paginas/objetivos.aspx

KEY WORDS

• Analogue Image • BIM (Building information modelling) • Design • Digital image • E-learning • Geometric modelling

• Interior design • Multimedia • Parametric design • Product design • Photogrammetry • Space syntax

RESEARCH TEAM

• Spinheira Gomes, Renata de Mendonça • Esquinas Dessy, Jesus • Fort Mir, Josep Maria • Giménez Mateu, Lluís • Mendoza Ramirez, Hector • Mesa Gisbert, Andres de • Millan Gomez, Antonio • Moliner Nuño, Sandra • Moya Sala, Joaquim Narcis

• Navarro Delgado, Isidro • Puig Costa, Janina • Redondo Dominguez, Ernest • Regot Marimon, Joaquin Manuel • Sanchez Riera, Alberto • Santana Roma, Galdric • Subiros Brunet, Jordi • Zaragoza De Pedro, Isabel

CONTACT

Av/ Diagonal, 649, 08028, Barcelona (Spain). ETSAB Escola Técninca Superior d’Arquitectura de Barcelona. Person in charge: Ernest Redondo Dominguez – ernesto.redondo @upc.edu

https://www.google.es/maps/?q=ETSAB%2C+Avinguda+Diagonal%2C+649https://futur.upc.edu/ErnestRedondoDominguezmailto:[email protected]


13

ANCORA


Name: ANCORA – Anàlisi i control del ritme cardiac

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


The ANCORA group performs experimental studies with cardiomyocytes using fluorescence microscopy techniques and develops new techniques for the treatment and analysis of images to characterize phenomena associated with calcium dynamics at the molecular, subcellular and cellular level.

The main objective is to identify the cellular and molecular mechanisms associated with cardiac function.


The following activities define the priorities currently pursued by ANCORA group:

• Observation of sports behaviour • Development of models to observe the behaviour of cardiac contraction • Development and application of atrial myocyte models to investigate mechanisms that confer

patients a high risk of atrial fibrillation.




Multiscale data analysis in translational cardiology: from ion channel to cardiac contraction Amount: 48.400,00 €

KEY WORDS

• Cardiac pathiopathology • Cell cardiology • Mathematical modelling • Image processing

• Pattern recognition • Life imaging • Biomedical signals • Cardiac contraction

RESEARCH TEAM

• Benitez Iglesias, Raul • Hove-Madsen, Leif

• Llach Martínez, Ana • Marimon Serra, Xavier

Competitive Project 1

Development and application of atrial myocyte models to investigate mechanisms that confer patients a high risk of atrial fibrillationda. Subv. Exp 20151110 FUNDACIÓ

MARATÓ TV3 112.000,00 €


Avances metodológicos y tecnológicos en el estudio observacional del comportamiento deportivo. PSI2015-71947-REDT 30.000 €

https://futur.upc.edu/ANCORAhttps://futur.upc.edu/17658699https://futur.upc.edu/17658699https://futur.upc.edu/21995754https://futur.upc.edu/21995754


• Nolla Colomer, Carme • Peñaranda Ayllon, Angelina CONTACT

Av/ Eduard Maristrany, 16, 08019, Barcelona (Spain). EEBE Escola d’Enginyeria de Barcelona Est. Person in charge: Benitez Iglesias, Raul – [email protected]

https://www.google.es/maps/?q=AV.+Eduard+Maristany%2C+16%2C+Edifici+Ahttps://futur.upc.edu/RaulBeniteziglesiasmailto:[email protected]


15

B2Slab


Name: B2SLab – Bioinformatics and Biomedical Signals Laboratory

Web: https://futur.upc.edu/B2SLab


The Bioinformatics and Biomedical Signals Laboratory (B2SLab) is a research group located at the Research Center for Biomedical Engineering (CREB) of the Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain.

The B2SLab is focused on the analysis of bioinformatics and biomedical signals, high throughput screening (genetic association, gene expression, and metabolomics) and physiological signals such as EEG, EMG and ECG. The Group has a large expertise in the modeling of risk prediction in the clinical environment. Current research interests are focused on the joint analysis of genetic and physiological signals in several areas such as Cardiac Risk Assessment, Anaesthesia Depth Assessment.


The following activities define the priorities currently pursued by B2SLab group:

• Biomedical Engineering • Bioinformatics • Machine Learning and Statistics

RELEVANT INFORMATION



Altitude performance in elite athletes: genetic, metabolic and neurocardiovascular analysis in training and competition (ALPE) - DPI2017-89827-R The objective of the ALPE project is to understand the differences in performance by training and competing at sea level and at moderate altitude.

This knowledge covers two phases: first, the detailed multilevel characterization of the available biological data and samples, including the metabolomics study, of non-coding transcriptional regulators, of the autonomic nervous system and of performance; second, an integrated analysis of the different domains, their biological interpretation and the design of cross-validated prediction models of performance indices and health status.

This project will broaden the results of previous studies by quantitatively understanding the optimal physiological, cardiovascular and metabolomics conditions of athletic training and performance at altitude, as well as their relationship with the potential risk or negative impact on health or performance, going deeper into the integration of metabolomics and phenotypic data through the analysis of complex and heterogeneous data in a multilevel scheme.

Amount: 90.750,00 €

https://futur.upc.edu/B2SLabhttps://creb.upc.edu/enhttps://creb.upc.edu/enhttp://www.upc.edu/?set_language=enhttps://futur.upc.edu/21995722https://futur.upc.edu/21995722


KEY WORDS

• Cardiac contraction • Bioinformatics • Statistics • Machine learning

• Signal processing • Pattern recognition • Big Data

RESEARCH TEAM

• Escrivá Muñoz, Jesús • Fonollosa Magrinya, Jordi • Gomis Román, Pedro • González Pijuán, Carmen • Kanaan Izquierdo, Samir

• Lopez Del Rio, Angela • Morata Martínez, Imanol • Perera Lluna, Alexandre • Picart Armada, Sergio • Vallverdú Ferrer, Montserrat

CONTACT

Av/Diagonal, 647, Building H, 08028, Barcelona (Spain). ETSEIB - Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Person in charge: Perera i Lluna,Alexandre – [email protected]


DPI2017-89827-R, Altitude performance in elite athletes: genetic, metabolic and neurocardiovascular analysis in training and competition. 90.750,00 € 01/01 / 2018-31

/ 12/2020. MICINN


TEC2014-60337-R, Impacto del entrenamiento en deportistas de élite en la función cardíaca, regulación neural y regulación. 127.050,00 € MIN DE ECONOMIA Y

COMPETITIVIDAD. Pedro Caminal Magrans. (Department of Automatic Control). 01/01/2015-30/09/2018

Agreement 1 Metillation differential study in non-responders with Sant Joan de Deu (Dr. Josep Jimenez Chillaron)

Patent/Licence 1 Markers for predicting weight loss treatment response in children. EP18382873.0 30/11/2018

Patent/Licence 2 Genetic Biomarker Profiles for Endurance Sport Suitability. PCT/EP2018/082592. EP17382799.9 27/11/2017

Innovation Project/Spin-off

Projecte de transferència. ARN Genomax, a spin-off proposal for the analysis of genetic expression applied to performance and health sports. Proposal selected by "The

Colliderl" program, organized by the Mobile World Capital.

Indirectly Project related to sport

H2020-780262-SHARE4RARE, Social media platform Dedicated to rare diseases, using collective intelligence for the advanced generation of Awareness and knowledge on

this large group of diseases, European Commission 01/01 / 2018-31 / 12/2020

Educative Activity related to sport Definition and dissemination of risks for elite sportspeople

https://www.google.es/maps/?q=AVDA.+Diagonal%2C+647%2C+Edificio+Hmailto:Perera%20i%20Lluna,Alexandremailto:[email protected]


17

BIOART


Name: BIOART – Biosignal Analysis for Rehabilitation and Therapy

Web: https://futur.upc.edu/BIOART


The BIOsignal Analysis for Rehabilitation and Therapy Research Group (BIOART) is an officially recognized research group by the Generalitat de Catalunya and belongs to the Universitat Politècnica de Catalunya (UPC).

It is part of the Biomedical Signals and Systems Division, which belongs to the Department of Automatic Control (ESAII) and that is also part of the Biomedical Engineering Research Centre (CREB) of the UPC.

The 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.


The following activities define the priorities currently pursued by BIOART group:

• To develop quantitative tools to monitor muscular activity and fatigue tendency, as well as developing central nervous system control strategies for the muscular activation during rehabilitation exercises.

• To provide new aid tools to clinicians for the assisted ventilation of severe respiratory insufficiency patients and for monitoring ventilator disorders by studying the respiratory muscles.

• To improve the detection and characterization of the brain’s activity and connectivity to evaluate it in the context of neuronal and neurodegenerative disorders, as well as in the drug therapy interaction with brain activity and its effects during sleep and wake.




A smart T-shirt for motor rehabilitation of the upper arm Amount: 100.154,72 €


Diseño de métodos para la evaluación de procesos de deterioro neurológico y neuromuscular asociados al envejecimiento. 133.100,00 € DPI2014-59049-R. Start

date 2015-01-01 End date 2018-12-31

Patent / License Portable device and method for measuring electromyographic signals of a user.

P15380033.9

https://futur.upc.edu/BIOARThttps://futur.upc.edu/23931000https://futur.upc.edu/16831395https://futur.upc.edu/16831395


KEY WORDS

• Biomedical engineering • Electroencephalography • Electromyography • Magnetoencephalography

• Neurodegenerative diseases • Processing of biomedical signals • Respiratory system

RESEARCH TEAM

• Alonso López, Joan Francesc • Bachiller Matarranz, Alejandro • Chaler Vilaseca, Joaquim Lluís • Jordanic, Mislav • Mañanas Villanueva, Miguel Angel

• Marateb, Hamid Reza • Migliorelli Falcone, Carolina Mercedes • Romero Lafuente, Sergio • San Antonio Arce, María Victoria • Serna Higuita, Leidy Yanet

CONTACT

Av/Diagonal, 647, UPC Campus Diagonal South, 08028, Barcelona (Spain). ETSEIB - Escola Tècnica Superior d’Enginyeria Industrial de Barcelona. Biomedical Engineering Research Centre (CREB) Person in charge: Mañanas Villanueva Miguel Angel – [email protected]

https://www.google.es/maps/?q=AVDA.+Diagonal%2C+647%2C+Edificio+Hmailto:Ma%C3%B1anas%20Villanueva%20Miguel%20Angel


19

BIOCOM-SC


Name: BIOCOM-SC – Computational Biology and Complex Systems Group

Web: https://futur.upc.edu/BIOCOM-SC


The complexity and diversity of biological systems have historically been a huge wall for the use of mathematical models. Nowadays, the of use of computational resources and the accelerated process of improvement of the understanding of biological systems at the molecular and particularly cell levels have led us to the threshold of a new situation. Today computational biology is an unstoppable machine of understanding and generation of new practical applications.

The group BIOCOMSC has been accepted as consolidated research group by the Generalitat of Catalonia. The aim of the group is the use of computational methods to address complex problems in physics, biomedicine and biophysics and takes part on several PhD programmes.


The following activities define the priorities currently pursued by BIOCOMSC group:

• Computational and applied Physics • Bioinformatics • Agri-food Technology and Biotechnology • Aerospace Science and Technology




Development and application of atrial myocyte models to investigate mechanisms that confer patients a high risk of atrial fibrillation Amount: 112.000,00 €

KEY WORDS

• Computational biology • Biophysics • Non-linear physics

• Complex Systems • Biomedicine

RESEARCH TEAM

• Alonso Muñoz, Sergio • Alvarez Lacalle, Enrique • Arias Calderón, Santiago • Auguet Sangra, Carlota Eugenia • Carbo Moliner, Rosa

• Echebarria Dominguez, Blas • Ginovart Gisbert, Marta • Giro Roca, Antoni • Gonzalez Cinca, Ricardo • Gras Moreu, Anna Maria

https://futur.upc.edu/BIOCOM-SChttps://futur.upc.edu/17658699https://futur.upc.edu/17658699


• Lopez Codina, Daniel • Marchena Angos, Miquel • Prats Soler, Clara

• Ramirez de La Piscina Millan, Laureano • Valls Ribas, Joaquim

CONTACT

Av/Dr.Marañon, 44-50, Building P, 08028, Barcelona (Spain). Escola Politècnica Superior d'Edificació de Barcelona. Person in charge: Echebarria Dominguez, Blas – [email protected]

https://www.google.es/maps/?q=Av.+Doctor+Mara%C3%B1on%2C+44-50%2C+Edifi+Phttps://futur.upc.edu/BlasEchebarriaDominguezhttps://futur.upc.edu/BlasEchebarriaDominguez


21

BIOMEC


Name: BIOMEC – Biomechanical Engineering Lab

Web: https://futur.upc.edu/BIOMEC


The Biomechanical Engineering Lab (BIOMEC) is a research group of the Universitat Politècnica de Catalunya (UPC) and one of the seven areas of the Research Centre for Biomedical Engineering (CREB). The mission of the lab is twofold.

First, the group develops multibody biomechanical models to analyse and simulate the dynamics of human movement, for clinical and sport applications. Secondly, based on the previous models the group designs personalized robotic devices that enhance human movement and neuro-rehabilitation.

To accomplish these goals, the group have a fully equipped motion analysis laboratory that includes an 18-camera motion capture system, 2 force plates, a 16-channel electromyography (EMG) system, and an in-shoe pressure measurement system. Moreover, the group designs and build in-house all the developed mechatronic prototypes.


The following activities define the priorities currently pursued by BIOMEC group:

• Analysis of human movement to assess the outcomes of clinical interventions and treatments • hybrid lower limb active orthoses to assist spinal cord injured subjects • Medical robotics




Development of a novel system to predict the risk of knee injury in athletes using tools suitable for the clinical practice The main goal of the project is to create an integral and portable system to analyse the risk of knee injury in athletes through a jump test. The system, focused in knee injury prevention, presents a high potential to be used to determine the reincorporation to sports practice in the case of injury athletes. The platform will integrate a set of last generation portable systems that will allow the register of biomechanical parameters with a precision comparable to the motion capture labs. The system will integrate and synchronize 3D motion capture cameras to obtain the markers trajectories, which will be placed in specific points on the athlete’s body, of the whole motion with a high frequency rate; instrumented in-sole shoes to obtain the ground reaction forces and moments; and an also instrumented knit pants that can measure the electromyography signal of the desired muscular areas. Kinematics and dynamics, as well as muscular activation of the jump, will be obtained throughout post-processing the data. Afterwards, the results will be used in order to obtain the parameters related with the risk of knee injury in athletes throughout a mathematical model. This model a part from the data obtained from the sensors will have as an input also the physiological and clinical variables of the user. The output of the project will be a tool that could be easily integrated in the daily practice of a clinical or training center. Amount: 8.472,00 €

http://www.upc.edu/?set_language=enhttp://www.upc.edu/?set_language=enhttp://biomec.upc.edu/facilities/https://futur.upc.edu/21876832https://futur.upc.edu/21876832



Development of a novel system to predict the risk of knee injury in athletes using tools suitable for the clinical practice, 2017 DI 043, Doctorat Industrial. 33.960 €

http://biomec.upc.edu/project-items/development-of-a-novel-system-to-predict-the-risk-of-knee-injury-in-athletes-using-tools-suitable-for-the-clinical-practice/

Competitive project 2

Exoesqueleto robótico personalizado para la rehabilitación de la marcha. 35.000,00€. Fundación BBVA. Start date 2018-07-01 End date 2019-12-31

Agreement 1 RWECS: Race walking electronic control system, conveni amb International Association of Athletics Federations (IAAF)

Patent/Licence Sistema para asistir a caminar. P201600886 2016-10-17. PCT/EP2017/076482. Ortesis

híbrida motor-FES de bajo coste para la marcha de lesionados medulares y métodos de simulación para ayuda al diseño y la adaptación

Innovation project / Spin-

off Able Human Montion, SL. https://www.ablehumanmotion.com/

Educative Activity related

to sport Subject on the MUEI and MUEB Master: Biomechanics of human motion.

KEY WORDS

• Biomechanics • Dynamic simulation • Human movement analysis • Mechanical design

• Mechatronics • Neurorehabilitation • Rehabilitation engineering • Robotics

RESEARCH TEAM

• Barjau Condomines, Ana • Clos Costa, Daniel • Febrer Nafria, Míriam

• Font Llagunes, Josep Maria • Pamies Vila, Rosa

CONTACT

Av/ Diagonal, 647, 08028, 4th floor, Barcelona (Spain). ETSEIB – Escola Tècnica Superior d’Enginyeria industrial de Barcelona. Phone: (+34) 93 405 41 13 Person in charge: Font Llagunes, Josep Maria – [email protected]

http://biomec.upc.edu/project-items/development-of-a-novel-system-to-predict-the-risk-of-knee-injury-in-athletes-using-tools-suitable-for-the-clinical-practice/http://biomec.upc.edu/project-items/development-of-a-novel-system-to-predict-the-risk-of-knee-injury-in-athletes-using-tools-suitable-for-the-clinical-practice/https://futur.upc.edu/17980286https://futur.upc.edu/17980286https://futur.upc.edu/17980286https://www.ablehumanmotion.com/https://www.google.es/maps/?q=Diagonal%2C+647%2C+ETSEIB+Pavell%C3%B3+Dhttps://futur.upc.edu/JosepMariaFontLlagunes


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BIOSPIN


Name: BIOSPIN - Biomedical Signal Processing and Interpretation

Web: https://futur.upc.edu/BIOSPIN


The main objective of BIOSPIN research group is to improve diagnosis capability through the characterization of physiological phenomena and to enhance early detection of major cardiac and respiratory diseases and sleep disorders.

The group proposes and designs new signal processing algorithms and develops new biosignal databases, with the collaboration of different hospital partners. To validate the clinical information of new surface signals, the group has developed specific invasive/non-invasive protocols and animal models. The group focuses its research in a translational way to promote the transfer of our scientific and technological contributions. Currently, their prototypes are used in hospitals for research purposes and for future industrial developments.


The following activities define the priorities currently pursued by BIOSPIN group:

• Biosignal databases • Signal procesing




Interpretación de datos biomédicos multimodales en trastornos del sueño y neurológicos, enfermedad pulmonar obstructiva, patología cardiaca e interacción cardiorespiratoria

Amount: 230.630,00 €

KEY WORDS

• Biomedical engineering • Cardiovascular system • Multimodal diagnosis

• Non-invasive monitoring • Signal processing • Respiratory system

RESEARCH TEAM

• Giraldo Giraldo, Beatriz F. • Jane Campos, Raimon

• Sola Soler, Jordi • Torres Cebrian, Abel

CONTACT

Av/ Eduard Maristrany, 16, 08016, Barcelona (Spain). Eng. Sist. Automàtic Inf. Ind. IBEC. Building C Floor 5 Office C5.3a. Person in charge: Jene Campos, Raimon – [email protected]

https://futur.upc.edu/BIOSPINhttps://futur.upc.edu/9472107https://futur.upc.edu/9472107https://futur.upc.edu/9472107https://www.google.es/maps/?q=Eng.+Sist.+Autom%C3%A0tica+Inf.+Ind.+IBEC.+Edifici+C++Planta+5+Despatx+C5.3a++Av.+Eduard+Maristany%2C+16https://futur.upc.edu/RaimonJaneCampos


CIRCUIT


Name: CIRCUIT– Communication Circuits and Systems Research Group

Web: https://futur.upc.edu/CIRCUIT


The aim of the research group is to carry out research related to communication circuits and systems. This group focuses on circuit analysis and design. Specifically, linear, nonlinear, variant, invariant and switched circuits with concentrated or distributed parameters are addressed making use of conventional or specifically developed techniques. Stability and bifurcation analysis of this kind of circuits is carried out. Low power techniques for communication receivers making use of conventional, spread spectrum and UWB modulations are developed and communication systems are designed on this base.


The following activities define the priorities currently pursued by CIRCUIT group:

• CAD techniques for circuit design. We have developed tools and techniques for the analysis, design and optimization of linear, nonlinear, invariant and switched circuits with both concentrated and distributed parameters.

• Stability and bifurcation analysis of electronic circuits. This includes the investigation of the ability of some circuits to synchronize with some incoming signals.

• Low power communication systems. Specifically we have revisited the super-regenerative receiver and have extended its operation mode to be able to detect spread-spectrum and UWB signals while keeping its most remarkable features, namely low cost and low power consumption. This receiver has also been extended to be able to detect BPSK signals and its principle has been applied to the design of a baseband amplifier.

• The design of low power wireless networks, which is strongly related to the investigation of power-aware communication protocols which base on low-power transceivers. This includes micro-power techniques for programmable devices.

• CMOS integration of communication receivers and transceivers.




Avances en comunicaciones inalámbricas de muy bajo consumo y su aplicación a la monitorización continua de la marcha humana Wearable sensors are developed to monitor the human motion. Amount: 168.311,00 € KEY WORDS

• Analyse and design • Non-linear circuits • Atomic microscopy

• Optimization of circuits • Wireless Communication

https://futur.upc.edu/CIRCUIThttps://futur.upc.edu/17980236https://futur.upc.edu/17980236

RESEARCH TEAM

• Barcons Xixons, Victor • Bonet Dalmau, Jordi • del Águila López, Francisco • Font Teixido, Jose • Giralt Mas, M. Rosa

• Moncunill Geniz, Francisco Javier • Palà Schönwälder, Pere • Tarres Puertas, Marta Isabel • Vila Marta, Sebastian

CONTACT

Av/ Bases de Manresa, 61-73, 08240, Manresa (Spain). Person in charge: Palà Schönwälder, Pere – [email protected]

https://www.google.es/maps/?q=Avda.+Bases+de+Manresa%2C+61-73https://futur.upc.edu/PerePalaSchonwalderhttps://futur.upc.edu/PerePalaSchonwalder


CETpD


Name: CETpD – Technical Research Centre for Dependency Care and Autonomous Living

Web: https://futur.upc.edu/CETpD


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.


The following activities define the priorities currently pursued by CETpD group:

• Ambient Assisted Living and Pervasive Computing: create smart devices for both home and ambulatory monitoring of elderly people and patients with chronic diseases with tele-medicine and tele-care needs in order to assess gait, balance and falls.

• Computational Paradigms: develop soft-computing models, machine learning techniques and pervasive computing approaches addressed to the dependency care area.

• Epidemiologic studies • Social Robotics: to develop new architectures of control and forms of signal processing, to research

in the more suitable forms of interaction, and to develop in an effective way robotic systems that are capable of supplying with personalised individual assistance to people with dependence (permanent, rehabilitation or convalescence).




Blockade in Parkinson's disease: improvement of the quality of life with an automatic control

Amount: 86.562,50 €

KEY WORDS

• Artificial Intelligence • CMOS-MEMS • Detection of falls • Embedded systems • eHealth

• Integrated Circuits • Internet of things • Sensors • Sports Smart

https://futur.upc.edu/CETpD


27

RESEARCH TEAM

• Cabestany Moncusi, Joan • Català Mallofré, Andreu • Cosp Vilella, Jordi • Llanas Parra, Francesc Xavier

• Perez Lopez, Carlos • Rodriguez Martin, Daniel Manuel • Sama Monsonis, Albert

CONTACT

Rbl/ de l’Exposició, 61-69, Neapolis PI.2 building. 08800, Vilanova i la Geltrú, (Spain). Person in charge: Andreu Català Mallofré – andreu.catala @upc.edu

https://www.google.es/maps/?q=Rambla+de+l%27Exposici%C3%B3%2C+61-69+Edifici+NEAPOLIS+Pl.2https://futur.upc.edu/AndreuCatalaMallofremailto:[email protected]


DONLL


Name: DONLL - Nonlinear dynamics, nonlinear optics and lasers

Web: https://futur.upc.edu/DONLL


The research Group belongs to the Department of Physics of the Universitat Politècnica de Catalonia (UPC). We are located in Gaia research building, in the Campus of Terrassa (Rambla Sant Nebridi 22, Terrassa).

The general goal is to study the nature, effects and, as far as possible, technological applications of nonlinear phenomena in the fields of photonics, complex systems and biophysics.

In the case of photonics, special emphasis is put on structured materials, in particular photonic crystals and gain/loss modulated media and lasers, as well as on semiconductor laser dynamics and ultra-short pulse interactions and diagnostics.

In the case of complex systems, we study complex networks (fundamentals and applications) and fracture dynamics in materials. Finally, in the case of biophysics, attention is paid to neural excitability as well as to mesoscopic modelling of brain


The following activities define the priorities currently pursued by DONLL group:

• Photonics • Biophysics • Complex systems




Advanced biomedical optical imaging and data analysis

Biomedical imaging is a research field that is producing ground breaking scientific discoveries that enhance the health and life quality of European citizens and have a huge economic impact. In order to maintain Europe’s leading position in the field, it is crucial to invest in the people who will lead R&D, and to promote the academic-private sector partnerships that will transfer the novel technologies to the market.

Amount: 466.945,92 €

KEY WORDS

• Biophysics • Population dynamics • Non-linear dynamics • Photonics

• Laser • Optics • Non-linear optics • Structured materials

RESEARCH TEAM

https://futur.upc.edu/DONLLhttps://cordis.europa.eu/project/rcn/198294/factsheet/en

• Amil Marletti, Pablo • Botey Cumella, Muriel • Cojocaru, Crina Maria • Font Garcia, Josep Lluís • Halpaap Halpaap, Herbert Donatus • Herrero Simon, Ramon • Masoliver Vila, Maria • Masoller Alonso, Cristina • Medina Pardell, Judith

• Pons Rivero, Antonio Javier • Quintero Quiroz, Carlos Alberto • Serrat Jurado, Carles • Staliunas, Kestutis • Tiana Alsina, Jordi • Torrent Serra, Maria Del Carmen • Trull, Jose • Vilaseca Alavedra, Ramon • Zappala, Dario

CONTACT

C/ Colom, 1, 08222, Terrassa Campus, Building TR14 (Gaia) Terrassa (Spain). Person in charge: Herrero Simon, Ramon – [email protected]

https://www.google.es/maps/?q=C.+Colom%2C+1%2C+Edifici+TR1https://futur.upc.edu/RamonHerreroSimonmailto:[email protected]


DRM


Name: DRM - Dosimetry and Medical Radiation Physics

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


The objectives of DRM group are related to the theoretical and experimental study of ionizing radiation and its applications, especially in the field of health.

A part of the activity is focused on theoretical aspects of the interaction of radiation with matter and the development of advanced Monte Carlo simulation programs for the transport of this radiation. Another part uses nuclear instrumentation and calculation tools to address various problems in the fields of dosimetry, radiotherapy, analysis of materials, characterization of instruments (medical, industrial, etc.), analysis of radioactivity in environmental samples and to determine the impact of the aforementioned radiations on human health.


The following activities define the priorities currently pursued by DRM group:

• Physics of radiation • Medical radio physics • Radiological protection




Personal Online Dosimetry Using computational Methods (PODIUM) The research project “Personal Online DosImetry Using computational Methods (PODIUM)” is funded by the European Commission and focuses on individual monitoring of exposed workers to external ionizing radiation.

The main objective of PODIUM project is to improve occupational dosimetry by an innovative approach: the development of an online dosimetry application based on computer simulations, which will calculate individually the occupational doses, without the use of physical dosimeters. The operational quantities, protection quantities and radiosensitive organ doses (e.g. eye lens, brain, extremities, etc.) will be assessed based on the use of modern technology such as personal tracking systems, flexible individualized phantoms and scanning of geometry set-up. When combined with fast simulation codes, the aim is to perform personal dosimetry in real-time.

Amount: 271.497,00 €

KEY WORDS

• Ionizing radiation • Dosimetry • Environmental radioactivity

• Radiophysics • Radioprotection • Monte Carlo simulation

https://futur.upc.edu/DRMhttps://podium-concerth2020.eu/https://podium-concerth2020.eu/


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• Radiation transport

RESEARCH TEAM

• Camacho Garcia, Antonia • Caner, Ferhun Cem • Duch Guillen, Maria Amor • Ginjaume Egido, Merce

• Grossi, Claudia • Principi, Sara • Sempau Roma, Josep • Vargas Drechsler, Arturo

CONTACT

Av/ Diagonal, 647, 08028, Institut de Técniques Energètica. Building C. Barcelona (Spain). Person in charge: Maria Amor, Duch Guillen – [email protected]

https://www.google.es/maps/?q=Institut+de+T%C3%A8cniques+Energ%C3%A8tica.+Av.+Diagonal%2C+647.+Pavell%C3%B3+Chttps://futur.upc.edu/MariaAmorDuchGuillen


GBMI


Name: GBMI - Molecular and Industrial Biotechnology Group

Web: https://futur.upc.edu/GBMI


The Group of Molecular and Industrial Biotechnology (GBMI) at the Chemical Engineering Department of UPC is a multidisciplinary research group combining basic and applied research in the fields of biotechnology, molecular biology, polymer engineering and genetic engineering. The research at GBMI focuses on the study of the structure and properties of membrane receptor proteins, enzymatic functional modification of polymers and biopolymers for industrial and biomedical applications, enzymatic synthesis and polymerization, chemical and enzymatic modification of proteins for industrial applications, purification, structural, biochemical and functional characterization of biomolecules. GBMI has large experience in Spanish and European research projects and in industry-driven projects.


The following activities define the priorities currently pursued by GBMI group:

• Molecular Biotechnology. The main field of research of the Molecular Biotechnology Team, within the GBMI group, is the study of membrane proteins and particularly the G-protein coupled receptors (GPCR), a superfamily of receptors involved in a vast number of physiological processes and with high relevance as pharmacological targets.

• Applied Biotechnology. The goal of the Applied Biotechnology team is to meet the research with the industry and the market by developing new bio-based or biomimetic technologies and high added value products.


Competitive project grants in sport field since 1st January, 2016: 2.781.228,19 €


Skin healthcare by innovative nanocapsules

SKHINCAPS project will explore an innovative and sustainable in situ self-assembly nanoencapsulation technology to deliver novel products for skin healthcare applications, with increased efficiency and cost benefits, leading to ground-breaking innovations on the actual products. Using this safe, sustainable and easily scalable technology, different actives will be addressed for nanoencapsulation: phase-change materials (PCMs), a cocktail of vitamins and antioxidants, and natural essential oils. The nanocapsules will be engineered to achieve three possible release mechanisms, enhancing actives efficiency. Amount: 673.535,00 €


Pre-commercial lines for production of surface nanostructured antimicrobial and anti-biofilm

textiles, medical devices and water treatment membranes. H2020-720851-PROTECT 910.275,00 €. Start date 2017-01-01 End date 2020-12-31

https://futur.upc.edu/GBMIhttps://cordis.europa.eu/project/rcn/198811/factsheet/en


33


PCIN-2016-134 Dispositivo de diagnóstico de enfermedades pulmonares a través de la

detección multiplex de biomarcadores en el esputo. 90.000,00 €. Start date 2016-12-01 End date 2019-11-30


Functional materials for fast diagnosis of wound infection. 468.931,69 € FP7-604278-INFACT.

Start date 2014-01-01 End date 2017-12-31

KEY WORDS

• Biomaterials for medical applications • Nanostructured polyfunctional biomaterials • Biopolymer • Protein engineering

• Enzymes • Modelling • Biophysical techniques

RESEARCH TEAM

• Asenova Ivanova, Aleksandra • Bassegoda Puigdomenech, Arnau • Garriga Sole, Pere • Guaus Guerrero, Ester • Hoyo Perez, Javier • Ivanova, Kristina Dimitrova • Morillo Cazorla, Margarita

• Perez Gonzalez, Juan Jesus • Perez Rafael, Silvia • Ramon Portés, Eva • Stefanov, Ivaylo • Torrent Burgues, Juan • Tzanov, Tzanko

CONTACT

Rambla Sant Nebridi, 22, Gaia Building TR4, 08222. Terrassa (Spain). Phone: (+34) 93 739 85 70 Person in charge: Pere Garriga Sole - [email protected]

https://www.google.es/maps/?q=Edifici+Gaia%2C+TR14+Rambla+Sant+Nebridi+22https://futur.upc.edu/PereGarrigaSole


GCEM


Name: GCEM – Electromagnetic Compatibility Group

Web: https://futur.upc.edu/GCEM


The Electromagnetic Compatibility Group (GCEM) is part of the Electronic and Biomedical instrumentation research group of the Department of Electronic Engineering at the Universitat Politècnica de Catalunya (UPC).

GCEM is made up of a team of researchers and highly qualified technical staff who are actively involved in applied research projects and technology transfer activities to the industrial sector.

The group focuses its activity on electromagnetic compatibility (EMC) innovation projects for companies. It therefore has a fully equipped laboratory for assessing, testing and measuring electronic equipment. It also has all the hardware and software resources necessary for the development of numeric simulation projects in EMC. The expertise of GCEM in the fields of electromagnetic compatibility and electrical safety enables it to provide companies with testing, assessment and training services, all with the support of its own personnel and facilities.

The aims of GCEM are:

• To develop research and innovation projects in the field of EMC together with companies. • To train and advise the engineers involved in the design and installation of electronic equipment. • To offer its laboratory equipment to companies as an extension to their own facilities to test their

products.

GCEM belongs to TECNIO, the brand name created by ACC1Ó to earmark the centres and stakeholders that specialise in applied research and technology transfer in Catalonia. This serves the twofold purpose of enabling businesses to access leading R+D+I skills and of favouring the competitiveness and international outreach of these centres.


The following activities define the priorities currently pursued by GCEM group:

• Near field measurement • Radiated transient measurements • Numerical simulation of EMC

Applicable the areas of electro medical, EMC instrumentation, automotive and aerospace.




Desarrollo de métodos de medida del nivel de esfuerzo/recuperación en la práctica de ejercicio físico, basados en la actividad cardiovascular, temperatura y respiración.

https://futur.upc.edu/GCEMhttps://futur.upc.edu/17980214https://futur.upc.edu/17980214https://futur.upc.edu/17980214


35

The overall objective of this coordinated project is to develop and evaluate the effectiveness of non-invasive system that combines analysis of psychophysiological and behavioural parameters to manage the level of effort / recovery and stress, in athletes and practitioners of regular physical activity, based on the use of mobile devices. Meanwhile, some of non-invasive methods as it seeks to implement, will be developed in an innovative way in the project. We propose two subprojects to contribute to improving the health and wellbeing of people who play sports and healthy lifestyle. Amount: 54.450,00 €

Competitive project 1 Development of healthy lifesytle markers for grant people based on

smartphones. RecerCaixa 2013 - Marcadors estils vida 68.886,33 € Start date 2014-02-26 End date 2016-11-25

Patent Sensor de fuerza a tracción para el registro y la monitorización del ejercicio físico P201631367. https://futur.upc.edu/19259536

KEY WORDS

• Biomedical Instrumentation • Electromagnetic compatibility • Electrical safety

RESEARCH TEAM

• Aragon Homar, Marc • Azpúrua Auyanet, Marco Aurelio • Fernandez Chimeno, Mireya • Pous Sola, Marc

• Ramos Castro, Juan Jose • Riu Costa, Pere Joan • Silva Martinez, Fernando

CONTACT

C/ Jordi Girona 1-3, Building C4, North Campus. 08034. Barcelona (Spain). Phone: (+34) 93.401.10.21. E-mail: [email protected] Person in charge: Fernando Silva Martinez - [email protected]

https://www.google.es/maps/?q=Jordi+Girona%2C+1-3.+Edifici+C4+Campus+Nordhttps://futur.upc.edu/FernandoSilvaMartinez


GEOMVAP


Name: GEOMAP – Geometry of Manifolds and Applications Web: https://futur.upc.edu/GEOMVAP


The Geometry, Topology, Algebra, and Applications Group (GEOMAP) is a group of researchers with interests in a wide range of fields, which include algebraic, arithmetic and symplectic geometries, algebraic topology, commutative algebra and their applications. With a few exceptions, the group is composed of researchers belonging to the Universitat de Barcelona or to the Universitat Politècnica de Catalunya.

The topics and objectives are summarized in those research areas:

Algebraic geometry. This involves the study of irregular varieties of Euler characteristic 1 or of Albanese general type, bounds for the slope of fibred varieties, vector bundles without intermediate cohomology on cubic surfaces and 3folds, properties of the germs of singular analytic morphisms between surfaces (from the local and global point of view), analytical classification of sandwiched surface singularities, representation theory for 2-groups, the problem of absolute factorization. Arithmetic geometry. This involves the study of computation of the height of Toric varieties, application of Langlands correspondence to Arakelov theory, Arakelov motivic cohomology, arithmetic Riemann-Roch theorems for arbitrary proper morphisms.


The following activities define the priorities currently pursued by GEOMAP group:

• Computational biology: This involves the development of tools and algorithms for phylogenetic reconstruction using the information from the algebraic varieties associated to evolutionary models.

• Robotics: We use tools based in topology and algebraic geometry to develop Hybrid Vision Camera Systems and to study singularities of parallel manipulators.

• Materials science: This involves the use of algebraic and geometric tools in materials science.




CLOTH manipulation learning from Demonstrations Textile objects pervade human environments and their versatile manipulation by robots would open up a whole range of possibilities, from increasing the autonomy of elderly and disabled people, housekeeping and hospital logistics, to novel automation in the clothing internet business and upholstered product manufacturing. Although efficient procedures exist for the robotic handling of rigid objects and the virtual rendering of deformable objects, cloth manipulation in the real world has proven elusive, because the vast number of degrees of freedom involved in non-rigid deformations leads to unbearable uncertainties in perception and action outcomes. Amount: 305.125,00 €

https://futur.upc.edu/GEOMVAPhttps://cordis.europa.eu/project/rcn/212259/factsheet/en


37

KEY WORDS

• Algebraic manifold • Control • Cosmology • Differentiable manifold • Mechanics

• Quantisation • Robot • Symplectic manifold • Topological manifold

RESEARCH TEAM

• Alberich Carramiñana, Maria • Alvarez Montaner, Josep • Amoros Torrent, Jaume • Barja Yañez, Miguel Angel • Blanco Fernandez, Guillem • Cardona Aguilar, Robert • Casanellas Rius, Marta • Dempsey Bradell, Roisin Mary • Elgueta Montó, Josep • Fernández Sánchez, Jesús • Gálvez Carrillo, Maria Immaculada • Garrote López, Marina • Gràcia Sabaté, Xavier • Margalef Bentabol, Juan

• Matveeva, Anastasiia • Miranda Galceran, Eva • Muñoz Lecanda, Miguel Carlos • Oms, Cedric • Oneto, Alessandro • Pascual Gainza, Pedro • Planas Bahi, Arnau • Planas Vilanova, Francesc d'Assis • Plans Berenguer, Bernat • Roca Lacostena, Jordi • Roig Marti, Agustin • Roman Roy, Narciso

CONTACT

Av/ Diagonal 647, Building C4, South Campus. 08028. Barcelona (Spain). Person in charge: Eva Miranda Galceran – [email protected]

https://www.google.es/maps/?q=Diagonal%2C+647%2C+ETSEIB+Pavell%C3%B3+Dhttps://futur.upc.edu/EvaMirandaGalceran


GESSI


Name: GESSI – Group of Software and Service Engineering Web: https://futur.upc.edu/GESSI


The GESSI research group is conducting research in several areas of software and service engineering in the areas of requirements engineering, agile software development, software evolution, information management, self-adaptive systems (and application in the smart vehicles domain), software monitoring, open source adoption, database technologies.


The following activities define the priorities currently pursued by GESSI group:

• Software development • Information management • Data Base technologies




(GENESIS) Generation and Evolution of Smart APIs The goal of the project is to provide techniques and tools to: collect information, metadata and behaviour of the functionality to expose provided by API providers; generate a repository of monitorizable APIs with their documentation, metadata and implementation; automatically manage data flows and data repositories to implement the APIs; propose and evaluate API evolutions; facilitate the automatic evolution of APIs.

Application Programming Interfaces (API) have recently experienced an unexpected growth and are shaping the way in which organizations expose data and functionalities to the outside. Companies like Salesforce.com, Expedia and Walgreens report high impacts coming from the adoption of APIs, with more than a half of their sales due to services offered by those APIs.

Amount: 222.640,00 €

KEY WORDS

• Agile Software Development • Application Programming Interfaces • Big Data • Database Technologies • Dynamic Adaptation • Information Management

• Open Source Software • Requirements Engineering • Smart Vehicles • Software Engineering Software Evolution • Software Monitoring • Software Quality

RESEARCH TEAM

• Abello Gamazo, Alberto • Ayala Martinez, Claudia Patricia

https://futur.upc.edu/GESSIhttps://genesis.upc.edu/en


39

• Biesialska, Katarzyna • Bilalli, Besim • Burgues Illa, Xavier • Costal Costa, Maria Dolors • Farré Tost, Carles • Franch Gutierrez, Javier • Glushkova, Daria • Gómez Seoane, Cristina • Hewasinghage, Moditha Lakshan

Dharmasir • Jovanovic, Petar

• Koçi, Rediana • López Cuesta, Lidia • Manzano Aguilar, Marti • Marco Gomez, Jordi • Nadal Francesch, Sergi • Nigatu, Shumet Tadesse • Oriol Hilari, Marc • Palomares Bonache, Cristina • Quer, Carme • Zavala Rodríguez, Edith Berenice

CONTACT

C/ Jordi Girona 1, Building Omega North Campus. 08034. Barcelona (Spain). Person in charge: Javier Franch Gutierrez – [email protected]

https://www.google.es/maps/?q=Jordi+Girona%2C+1+%28Edifici+Omega%29https://www.google.es/maps/?q=Jordi+Girona%2C+1+%28Edifici+Omega%29https://futur.upc.edu/JavierFranchGutierrez


GIE


Name: GIE – Engineering Informatics Group Web: https://futur.upc.edu/GIE


The GIE conducts research in Computer Graphics, Solid Modelling, and applications built on top of these technologies. The goal is to develop interactive, computer-based systems where the user interacts through a graphics interface.

The work of the GIE is part of the generic field of Computer Graphics, Computer Assisted Modelling and its applications. The objective of the GIE is the development of interactive computer systems based on graphic representations.


The following activities define the priorities currently pursued by GIE group:

• Parametric solid modelling • Solid models based on triangulations • Modelling and visualization in medical and bioengineering applications • Geographical information systems




Visualization, modelling, simulation and interaction with 3D models. Applications in life sciences and urban environments. In this project, the researchers focus on dealing with large models stemming mainly from two fields: life sciences and urban modelling. In life sciences, we address three distinct sources of information: medical imaging devices (in the context of specific diagnostic problems and for training), molecular simulations in pharmacology, and biomechanical data. The general objectives of this project centre on visualization, modelling urban environments, interaction and simulation of natural phenomena and the behaviour of people and crowds.

Despite the transversal nature of the proposed work, the specific objectives are conceived to facilitate the development of 3D applications meant to improve the quality of life of the people, both in their health (support for clinical diagnosis, simulations in sports biomechanics, design of new digs) and in their immediate surroundings (crowd behaviour simulation, sustainable urban design, cultural heritage, energy efficiency analysis). Amount: 281.325,00 €


Generación, simulación y visualización de modelos 3D a partir de grandes conjuntos de datos.

Aplicaciones en la mejora de la calidad de vida de las personas y su entorno. 254.221,00 €. TIN2014-52211-C2-1-R Start date 2015-01-01 End date 2017-12-31

KEY WORDS

https://futur.upc.edu/21995663https://futur.upc.edu/21995663

• Augmented reality • Bioengineering • Virtual scenarios

• Solid modelling • Serious games • Scientific visualization

RESEARCH TEAM

• Alonso Alonso, Jesus • Ayala Vallespi, M. Dolors • Bonet Codina, Núria • Eguia Gomez, Jose Luis • Joan Arinyo, Robert • Pérez Vidal, Luis • Pla Garcia, Nuria

• Solano Albajes, Luis • Soto Riera, Antoni • Talavera Mendez, Luis Jose • Tost Pardell, Daniela • Vigo Anglada, Marc • Vilaplana Pastó, Josep • von Barnekow, Ariel

CONTACT

Av/ Diagonal 647, Building H, office 8.57, South Campus. 08028. Barcelona (Spain). Person in charge: Nuria Pla Garcia – [email protected]

https://www.google.es/maps/?q=Diagonal%2C+647%2C+ETSEIB+Pavell%C3%B3+Dhttps://futur.upc.edu/NuriaPlaGarcia


GPI


Name: GPI – Image and video Processing Group Web: https://futur.upc.edu/GPI


The GPI research group does research on image and video processing for representing, coding, indexing and analysing visual content.

The expertise of the group working on morphology and segmentation has been the basis for contributions to ISO standards MPEG-4 and MPEG-7. Research on image analysis has allowed it to participate in European projects since 1992, including the programs RACE (Morpheco, coord.), ACTS (MAVT, MoMuSys, Vidas) and IST (Diceman, Hypermedia, INTERFACE, ADViSOR, MASCOT, FAETHON), the networks of excellence SCHEMA, SIMILAR and MUSCLE and the integrated FP6 and FP7 projects CHIL and FASCINATE, respectively.


The following activities define the priorities currently pursued by GPI group:

• Preclinical Alzheimer’s Disease • Biomedical Applications • Remote Sensing Image Processing • Region-based image and video processing • Lifelogging • Affective Computing • Deep learning • Saliency prediction




Deep learning for video analytics in sport events This Phd thesis will exploit the latest advances in artificial intelligence to the domain of video analysis of sport events. Mediapro is a major worldwide producer of sport event for broadcasting and aims at enriching the user experience with new and richer statistics of sports events, together with automatic production and indexing of video content. The Image Processing Group from the Universitat Politecnica de Catalunya (UPC) is a pioneering centre in the latest wave of artificial intelligence powered with deep learning. Since 2013, it has been exploring the applications of deep neural networks for computer vision, with major publications and innovative courses both in class and online.

The research project will aim at covering the requirements of Mediapro based on convolutional and recurrent neural networks capable of analysing video streams and fuse them with additional data sources, such as wearable sensors on the football players, accelerometers on the motorcycles or audience feedback through social media. Amount: 33.960,00 €

https://futur.upc.edu/GPIhttps://imatge.upc.edu/web/projects/deep-learning-video-analytics-sport-events


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KEY WORDS

• Controlled scenarios • Deep learning • Image and video analysis • Image and video coding • Image and video processing

• Indexing • Mathematical morphology • Multi-camera analysis • Multimodal interfaces

RESEARCH TEAM

• Casamitjana Diaz, Adria • Casas Pla, Josep Ramon • Giro Nieto, Xavier • Marques Acosta, Fernando • Morros Rubió, Josep Ramon • Oliveras Verges, Albert • Pardas Feliu, Montserrat

• Pujol Miro, Alba • Ruiz Hidalgo, Javier • Salembier Clairon, Philippe • Sayrol Clols, Elisa • Vilaplana Besler, Veronica

CONTACT

C/ Jordi Girona, Building D5, North Campus. 08034. Barcelona (Spain). Person in charge: Josep Ramon Casas Pla – [email protected]

https://www.google.es/maps/?q=Campus+Nord+UPC%2C+Jordi+Girona+1-3%2C+edifici+D5https://futur.upc.edu/JosepRamonCasasPla


GPLN


Name: GPLN – Natural Language Processing Group Web: https://futur.upc.edu/GPLN


The Natural Language Processing Group (GPLN) conducts research into the automatic processing of natural language, particularly those aspects related to the construction and exploitation of multilingual lexical resources and the extraction of information from documents written in natural language and summarisation. Within these research lines, the GPLN focuses its attention on developing language-processing tools, such as morphological and syntactical analysers, grammatical labellers, corpus processing systems, and specific machine learning algorithms for natural language processing and on compiling linguistic resources, such as grammars, dictionaries and lexical and conceptual databases.

The GPLN has also been working on natural language software specifications for the development of tools for the quality control of software. The GPLN collaborates with the Speech Processing Group in the research of oral translation and the development of dialogue systems.


The following activities define the priorities currently pursued by GPLN group:

• Audio analysis and enhancement • Construction and use of multilingual

lexical resources • Development of speech databases • Information extraction • Information retrieval • Machine learning methods

• Machine translation • Multilingual robust speech recognition • Multilingual text-to-speech conversation • Natural language interfaces • Natural language processing tools • Speakers and emotions recognition




Semantic graph extraction from textual health histories

This project will result in a set of tools that, using advanced methods and algorithms, will provide a comprehensive and versatile tool set for the following tasks:

- Morphological, syntactic and semantic analysis of medical texts according to the state of art in natural language processing. An important point is to go beyond the generic linguistic processors and adapt them to the medical domain, especially in recognition of named entities, which are especially important in the treatment of medical texts, such as drugs, chemicals, diseases, symptoms, procedures or body parts.

- Extraction of semantic graphs related to medical records and acquisition of patterns of clinical behaviour. The analysis of this information can be of significant interest for the development of future clinical performances. Therefore, the development of a methodology able to get semantic graphs where that

https://futur.upc.edu/GPLNhttp://www.talp.upc.edu/project-detail/497/GRAPH-MED


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information is represented in structured format, as well as to acquire patterns of clinical behaviour from them is of great interest to the medical community in primary care. Amount: 97.405,00 €

KEY WORDS

• Audio and speech recognition • Language characterization

• Machine translation • Language analysis

RESEARCH TEAM

• Abad Soriano, Maria Teresa • Ageno Pulido, Alicia • Castell Ariño, Nuria • Catala Roig, Neus • Escudero Bakx, Gerard • Farreres De La Morena, Javier

• Gatius Vila, Marta • Padró Cirera, Lluís • Primadhanty, Audi • Rodriguez Hontoria, Horacio • Turmo Borras, Jorge

CONTACT

C/ Jordi Girona, Building Omega North Campus. 08034. Barcelona (Spain). Person in charge: Horacio Rodriguez Hontoria – [email protected]

https://www.google.es/maps/?q=C.+Jordi+Girona%2C+1-3%2C+Edifici+Omega%2C+Campus+Nordhttps://www.google.es/maps/?q=C.+Jordi+Girona%2C+1-3%2C+Edifici+Omega%2C+Campus+Nordhttps://futur.upc.edu/HoracioRodriguezHontoria


GRUP ISI


Name: GRUP ISI – Instrumentation, Sensors and Interfaces Group

Web: https://futur.upc.edu/GRUP+ISI


The Instrumentation, Sensors and Interfaces Group (ISI), base its research on novel sensors and on measurement methods based on electrical impedance variations, and on their electronic interfaces for signal conditioning and processing. Particular interest on macro-sensors based on low-cost technologies, autonomous and smart sensors, sensor networks, analogue signal processing, data acquisition systems and test, impedance spectroscopy and tomography, noise and interference reduction in instrumentation, non-invasive physiological measurements and biotelemetry, avionics and aeronautical instrumentation. Technology transfer in sensors and engineering measurement systems.


The following activities define the priorities currently pursued by ISI group:

• Biomedical sensors for e-health, home health care, active healthy ageing, ambient assisted living, tele-monitoring, and proactive and preventive medicine. o Passive vital sign monitors embedded in chairs, seats, weighing scales, bed linen. o Cardiovascular measurements based on feet and hand interfaces.




Testing the value of a novel strategic approach and its cost efficacy to improve the poor outcomes in Cardiogenic Shock (EURO SHOCK) EURO SHOCK aims to improve outcomes for CGS patients. At its core is a robust phase3 randomised trial comparing a novel strategy of very early use of ECMO (Extracorporeal Membrane Oxygenation) to current standard of care.

Evidence suggests very early ECMO will halt the spiral of decline and so significantly reduce 12-month death rate and need for heart failure re-admissions. Since both costs of CGS and ECMO are high, a health-economic cost efficacy analysis will be core. A cardiac magnetic resonance imaging sub-study will test novel protocols in sick patients and provide mechanistic data. We will test transfer networks for CGS patients and analyse ECG data to determine which patients benefit most from early transfer. Amount: 148.440,00 €

KEY WORDS

• Biomedical instrumentation • Electronic instrumentation • Electronic interfaces for sensors

• Electrical impedance measurements • Sensors • Telemonitoring

RESEARCH TEAM

• Casanella Alonso, Ramon • Casas Piedrafita, Jaime Oscar

https://futur.upc.edu/GRUP+ISIhttps://cordis.europa.eu/project/rcn/212681/factsheet/enhttps://cordis.europa.eu/project/rcn/212681/factsheet/enhttps://cordis.europa.eu/project/rcn/212681/factsheet/en


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• Hornero Ocaña, Gema • Lopez Lapeña, Oscar • Pallas Areny, Ramon • Polo Cantero, Jose

• Quilez Figuerola, Marcos • Serrano Finetti, Roberto Ernesto

CONTACT

C/ Esteva Terradas, 7, Building C4. 08860. Castelldefels (Spain). Person in charge: Jaime Oscar Casas Piedrafita – [email protected]

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