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Inês Sousa is Head of Intelligent Systems and Senior Scientist at Fraunhofer Portugal. She has been researching on machine learning, signal processing and time series analysis for ambulatory monitoring of the elderly and chronic patients, specifically focusing on human motion analysis based on inertial sensors since 2013. In the Intelligent Systems Department, she leads a team of more than 30 researchers, who investigate ways in which technology can augment human potential in interpreting vast amounts of data, identifying patterns, anticipating events, and supporting decisions. Inês Sousa holds a PhD in Biomedical Engineering from the University of Lisbon. Her thesis on functional Magnetic Resonance Imaging of the brain using quantitative methods was developed at Siemens Healthcare Portugal and distinguished with the António Xavier Award. Additionally, she has been a visiting researcher at Ecole Polytechnique Fédérale de Lausanne, invited lecturer and research intern at Philips Research Europe. She is currently the International Project Coordinator for AISym4MED, in which she spearheads efforts to develop a platform that facilitates access to trustworthy healthcare datasets augmented with controlled data synthesis. She is currently Principal Investigator (PI), co-PI or technical leader, in over 10 funded research projects totaling a budget of more than 2.5M euros. She has collaborated with National and International researchers, healthcare providers and companies, producing several functional prototypes and 17 peer-reviewed scientific journal publications. Moreover, she guided the research work conducing to 6 MSc and 2 PhD degrees. Ines has been also involved in the Focus Group AI for Health lead by the International Telecommunications Union (ITU)/World Health Organization (WHO), aiming to establish a standardized assessment framework for the evaluation of AI-based methods for health, diagnosis, triage, or treatment decisions.
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Identificação

Identificação pessoal

Nome completo
Inês Nunes de Sousa Soares

Nomes de citação

  • Sousa, Inês

Identificadores de autor

Ciência ID
B010-056F-C178
ORCID iD
0000-0002-8488-256X
Google Scholar ID
Pm4VQoYAAAAJ&hl
Researcher Id
H-1749-2016
Scopus Author Id
36184687700

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Médica
  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Francês Utilizador elementar (A1) Utilizador independente (B1) Utilizador elementar (A1) Utilizador elementar (A1)
Formação
Grau Classificação
2013/09/23
Concluído
 Programa Doutoral em Engenharia Biomédica (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Development of quantitative methods for functional magnetic resonance imaging" (TESE/DISSERTAÇÃO)
 Aprovado com mérito
2007/11/15
Concluído
 Engenharia Biomédica (Mestrado integrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Ultrasound Contrast Agents for in situ Drug Delivery" (TESE/DISSERTAÇÃO)
 16
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/09/01 - Atual Investigador principal (carreira) (Investigação) Associação Fraunhofer Portugal Research, Portugal
2013/11/01 - 2019/08/31 Investigador Auxiliar (carreira) (Investigação) Associação Fraunhofer Portugal Research, Portugal
2008/01/02 - 2013/10/30 Investigador (Investigação) Siemens Healthcare Sector, Portugal
2008 - 2009 Investigador (Investigação) Universidade de Lisboa Centro de Física Teórica de Partículas, Portugal
2007/02/01 - 2007/08/31 Estagiário de Investigação (Investigação) Koninklijke Philips Electronics NV, Países Baixos
Projetos

Bolsa

Designação Financiadores
2009/02/01 - 2013/01/31 DESENVOLVIMENTO DE MÉTODOS QUANTITATIVOS PARA IMAGEM FUNCIONAL POR RESSONÂNCIA MAGNÉTICA
SFRH/BDE/33365/2008
 Fundação para a Ciência e a Tecnologia
Concluído

Projeto

Designação Financiadores
2023/05/01 - 2026/11/30 Synthetic and scalable data platform for medical empowered AI
101095387
Investigador responsável
Horizon 2020
Em curso
2021/01/01 - 2024/06/30 An intelligent system to improve patients safety and remote surveillance in follow-up for cardiothoracic surgery
DSAIPA/AI/0094/2020
10.54499/DSAIPA/AI/0094/2020
Co-Investigador Responsável (Co-IR)
Universidade Nova de Lisboa, Portugal

Universidade NOVA de Lisboa Comprehensive Health Research Centre, Portugal

University of Minnesota Twin Cities Department of Medicine, Estados Unidos

Instituto de Etnomusicologia Centro de Estudos em Música e Dança, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2020/08/01 - 2022/02/28 OSCAR - vOice Screening of CoronA viRus
POCI-01-02B7-FEDER-051277
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Em curso
2019/03/01 - 2021/04/30 Indoor Activity Notification for Vigilance Services
AAL/0001/2018
10.54499/AAL/0001/2018
ALL/0001/2018
Investigador responsável
Instituto de Etnomusicologia Centro de Estudos em Música e Dança, Portugal

Associação Fraunhofer Portugal Research, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2016/01 - 2020/12 myAHA - My Active Ageing against Cognitive Frailty
PHC-21-2015-689592
Investigador
EU Framework Programme for Research and Innovation Science with and for Society
2016/04 - 2019/09 Physio@Home - Extending Physiotherapy Programs to People’s Home
POCI-01-0247-FEDER-017863
Investigador responsável
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
2015 - 2018 FallSensing - Technological solution for fall risk screening and falls prevention
POCI-01-0247-FEDER-003464
Investigador responsável
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
2014/02 - 2015/06 mWaterSafety - Mobile Water Safety System
2014-038848
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
2013/01 - 2015/06 Fall Competence Center
NORTE-07-0124-FEDER-000041
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Comissão de Coordenação e Desenvolvimento Regional do Norte (CCDR-N)
Concluído
2011/01/01 - 2012/12/31 Strategic Project - UI 777 - 2011-2012
PEst-OE/FIS/UI0777/2011
Universidade de Lisboa Centro de Física Teórica de Partículas, Portugal

Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento, Portugal

Universidade de Lisboa Instituto Superior Técnico, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
Produções

Publicações

Artigo em conferência
  1. Guimaraes, Vania; Sousa, Ines; Correia, Miguel V.. "Gait events detection from heel and toe trajectories: comparison of methods using multiple datasets". Trabalho apresentado em IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
    10.1109/memea52024.2021.9478606
  2. Guimaraes, Vania; Sousa, Ines; Correia, Miguel V.. "Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors". Trabalho apresentado em Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
    Publicado • 10.1109/embc.2019.8856851
  3. Silva, Joana; Gomes, Diana; Nunes, Francisco; Moreira, Dinis; Alves, Jose; Pereira, Ana; Sousa, Ines. "Position-independent Physical Activity Monitoring: Development and Comparison with Market Devices". Trabalho apresentado em IEEE International Symposium on Medical Measurements and Applications (MeMeA), Istanbul, 2019.
    10.1109/memea.2019.8802140
  4. Silva, Joana; Sousa, Ines; Cardoso, Jaime. "Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls". Trabalho apresentado em Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018.
    10.1109/embc.2018.8513001
  5. Silva, Joana; Moreira, Dinis; Madureira, Joao; Pereira, Eduardo; Dias, Andre; Sousa, Ines. "A Technological Solution for Supporting Fall Prevention Exercises at the Physiotherapy Clinic". Trabalho apresentado em IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018.
    10.1109/memea.2018.8438811
  6. "Joint angles tracking for rehabilitation at home using inertial sensors". 2017.
    10.1145/3154862.3154888
  7. Silva, Joana; Madureira, João; Tonelo, Cláudia; Baltazar, Daniela; Silva, Catarina; Martins, Anabela; Alcobia, Carlos; Sousa, Inês. "Comparing Machine Learning Approaches for Fall Risk Assessment". 2017.
    Publicado • 10.5220/0006227802230230
  8. Soares, Inês. "Inertial sensors for assessment of joint angles". 2016.
    10.1145/3051488.3051504
  9. Silva, J.; Sousa, I.. "Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors". 2016.
    10.1109/MeMeA.2016.7533778
  10. Carneiro, Susana; Silva, Joana; Aguiar, Bruno; Rocha, Tiago; Sousa, Ines; Montanha, Tiago; Ribeiro, Jose. "Accelerometer-based methods for energy expenditure using the smartphone". 2015.
    10.1109/MeMeA.2015.7145190
  11. Ferreira, C.; Madureira, J.; Sousa, I.. "Protocol for Simulation of Falls in Watersports Activities". 2015.
    10.1109/CICSyN.2015.29
  12. Santos, A.; Guimaraes, V.; Matos, N.; Cevada, J.; Ferreira, C.; Sousa, I.. "Multi-sensor exercise-based interactive games for fall prevention and rehabilitation". 2015.
    10.4108/icst.pervasivehealth.2015.259115
  13. Aguiar, B.; Silva, J.; Rocha, T.; Carneiro, S.; Sousa, I.. "Monitoring physical activity and energy expenditure with smartphones". 2014.
    10.1109/BHI.2014.6864451
  14. Ferreira, C.; Guimarães, V.; Santos, A.; Sousa, I.. "Gamification of stroke rehabilitation exercises using a smartphone". 2014.
    10.4108/icst.pervasivehealth.2014.255326
  15. Guimarães, V.; Ribeiro, D.; Rosado, L.; Sousa, I.. "A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping". 2014.
    10.1109/MeMeA.2014.6860087
  16. Aguiar, B.; Rocha, T.; Silva, J.; Sousa, I.. "Accelerometer-based fall detection for smartphones". 2014.
    10.1109/MeMeA.2014.6860110
  17. Miranda, C.R.; Soares, F.; Sousa, I.; Janela, F.; Secca, M.F.. "Multifractal analysis of blood oxygen level dependent functional magnetic resonance imaging". 2011.
    10.1109/ISSPIT.2011.6151572
  18. Sanches, J.; Sousa, I.; Figueiredo, P.. "Bayesian Fisher information criterion for sampling optimization in ASL-MRI". 2010.
    10.1109/ISBI.2010.5490127
  19. Soares, F.; Sousa, I.; Janela, F.; Seabra, J.; Pereira, M.; Freire, M.M.. "Multifractal analysis of arterial spin labeling functional magnetic resonance imaging of the brain". 2010.
    10.1109/MEMEA.2010.5480209
Artigo em revista
  1. Vânia Guimarães; Inês Sousa; Miguel Velhote Correia. "Detection of Foot Motions for Interaction With Exergames Using Shoe-Mounted Inertial Sensors". IEEE Transactions on Human-Machine Systems (2023): https://doi.org/10.1109/THMS.2023.3292902.
    10.1109/THMS.2023.3292902
  2. Pedro Matias; Joao Costa; Andre V. Carreiro; Hugo Gamboa; Ines Sousa; Pedro Gomez; Joana Sousa; et al. "Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3211295.
    10.1109/ACCESS.2022.3211295
  3. Vânia Guimarães; Inês Sousa; Miguel Velhote Correia. "A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors". Sensors 21 22 (2021): 7517-7517. https://doi.org/10.3390/s21227517.
    10.3390/s21227517
  4. Vânia Guimarães; Inês Sousa; Miguel Velhote Correia. "Orientation-Invariant Spatio-Temporal Gait Analysis Using Foot-Worn Inertial Sensors". Sensors 21 11 (2021): 3940-3940. https://doi.org/10.3390/s21113940.
    10.3390/s21113940
  5. Silva, Joana; Gomes, Diana; Sousa, Ines; Cardoso, Jaime S.. "Automated Development of Custom Fall Detectors: Position, Model and Rate Impact in Performance". IEEE Sensors Journal 20 10 (2020): 5465-5472. http://dx.doi.org/10.1109/jsen.2020.2970994.
    Acesso aberto • Publicado • 10.1109/jsen.2020.2970994
  6. Joana Silva; Ines Sousa; Jaime S. Cardoso. "Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls". IEEE Journal of Biomedical and Health Informatics 24 1 (2020): 50-56. https://doi.org/10.1109/JBHI.2019.2951230.
    10.1109/JBHI.2019.2951230
  7. Gomes, Diana; Mendes-Moreira, João; Sousa, Inês; Silva, Joana. "Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders". Sensors 19 12 (2019): 2803. http://dx.doi.org/10.3390/s19122803.
    Acesso aberto • Publicado • 10.3390/s19122803
  8. Gomes, Diana; Sousa, Inês. "Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors". Sensors 19 9 (2019): 2145. http://dx.doi.org/10.3390/s19092145.
    Acesso aberto • Publicado • 10.3390/s19092145
  9. Anabela Correia Martins; Juliana Moreira; Catarina Silva; Joana Silva; Cláudia Tonelo; Daniela Baltazar; Clara Rocha; Telmo Pereira; Inês Sousa. "Multifactorial Screening Tool for Determining Fall Risk in Community-Dwelling Adults Aged 50 Years or Over (FallSensing): Protocol for a Prospective Study". JMIR Research Protocols 7 8 (2018): e10304-e10304. https://doi.org/10.2196/10304.
    10.2196/10304
  10. Summers, Mathew J.; Rainero, Innocenzo; Vercelli, Alessandro E.; Aumayr, Georg; Rosario, Helios; Mönter, Michaela; Kawashima, Ryuta; et al. "The My Active and Healthy Aging (My-AHA) ICT platform to detect and prevent frailty in older adults: Randomized control trial design and protocol". Alzheimer's & Dementia: Translational Research & Clinical Interventions 4 1 (2018): 252-262. http://dx.doi.org/10.1016/j.trci.2018.06.004.
    10.1016/j.trci.2018.06.004
  11. Pinto, J.; Jorge, J.; Sousa, I.; Vilela, P.; Figueiredo, P.. "Fourier modeling of the BOLD response to a breath-hold task: Optimization and reproducibility". NeuroImage 135 (2016): 223-231. http://www.scopus.com/inward/record.url?eid=2-s2.0-84964981503&partnerID=MN8TOARS.
    10.1016/j.neuroimage.2016.02.037
  12. Sousa, I.; Vilela, P.; Figueiredo, P.. "Reproducibility of the quantification of arterial and tissue contributions in multiple postlabeling delay arterial spin labeling". Journal of Magnetic Resonance Imaging 40 6 (2014): 1453-1462. http://www.scopus.com/inward/record.url?eid=2-s2.0-84910022479&partnerID=MN8TOARS.
    10.1002/jmri.24493
  13. Sousa, I.; Vilela, P.; Figueiredo, P.. "Reproducibility of hypocapnic cerebrovascular reactivity measurements using BOLD fMRI in combination with a paced deep breathing task". NeuroImage 98 (2014): 31-41. http://www.scopus.com/inward/record.url?eid=2-s2.0-84904673301&partnerID=MN8TOARS.
    10.1016/j.neuroimage.2014.04.049
  14. Pimentel, M.A.F.; Vilela, P.; Sousa, I.; Figueiredo, P.. "Localization of the hand motor area by arterial spin labeling and blood oxygen level-dependent functional magnetic resonance imaging". Human Brain Mapping 34 1 (2013): 96-108. http://www.scopus.com/inward/record.url?eid=2-s2.0-84870924272&partnerID=MN8TOARS.
    10.1002/hbm.21418
  15. Santos, N.; Sanches, J. M.; Sousa, I.; Figueiredo, P.. "Optimal Sampling and Estimation in PASL Perfusion Imaging". IEEE Transactions on Biomedical Engineering 58 11 (2011): 3165-3174. http://dx.doi.org/10.1109/tbme.2011.2164916.
    10.1109/tbme.2011.2164916
  16. Sousa, I.; Santos, N.; Sanches, J.; Vilela, P.; Figueiredo, P.. "Challenges for non-invasive brain perfusion quantification using arterial spin labeling". Neuroradiology Journal 24 1 (2011): 77-83. http://www.scopus.com/inward/record.url?eid=2-s2.0-79956322332&partnerID=MN8TOARS.
    10.1177/197140091102400112
  17. Vilela, P.; Pimentel, M.; Sousa, I.; Figueiredo, P.. "Quantification of perfusion changes during a motor task using arterial spin labeling". Neuroradiology Journal 24 1 (2011): 85-91. http://www.scopus.com/inward/record.url?eid=2-s2.0-79956290940&partnerID=MN8TOARS.
    10.1177/197140091102400113
  18. Santos, N.; Sanches, J.M.; Sousa, I.; Figueiredo, P.. "Optimal sampling and estimation in PASL perfusion imaging". IEEE Transactions on Biomedical Engineering 58 11 (2011): 3165-3174. http://www.scopus.com/inward/record.url?eid=2-s2.0-80054873816&partnerID=MN8TOARS.
    10.1109/TBME.2011.2164916
  19. Schmidt, B.J.; Sousa, I.; van Beek, A.A.; Böhmer, M.R.. "Adhesion and ultrasound-induced delivery from monodisperse microbubbles in a parallel plate flow cell". Journal of Controlled Release 131 1 (2008): 19-26. http://www.scopus.com/inward/record.url?eid=2-s2.0-52049117387&partnerID=MN8TOARS.
    10.1016/j.jconrel.2008.06.020
Livro
  1. Costa, J.; Sousa, I.; Soares, F.. Smartphone-based decision support system for elimination of pathology-free images in diabetic retinopathy screening. 2016.
    10.1007/978-3-319-51234-1_13
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2019 - Atual Mobile Solutions for the assessment of gait and motor-cognitive functions in ageing
Coorientador
 Engenharia Biomédica (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/01/01 - 2023/10/25 Machine Learning and Movement Analysis for Cognitive Screening in Older Adults
Coorientador
2015 - 2020 Machine Learning applied to the detection and prediction of falls
Coorientador
 Engenharia Biomédica (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019 Cuffless blood pressure estimation
Coorientador
 Engenharia Biomédica (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019 - 2019 Cardiovascular Disease Detection Using Fundus Images
Coorientador
 Engenharia Informática e Computação (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017 Eating and drinking recognition for triggering smart reminders
Coorientador
 Bioengenharia (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017 Screening tool to assess the risk of falling
Coorientador
 Engenharia Informática e Computação (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2015 Early Detection of Peripheral Neuropathy in Diabetes Patients
Coorientador
 Bioengenharia (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2014 Smartphone-Based Human Activity Recognition PhD academic degree in in Interactive and Cognitive Environments
Arguente
 Jorge Luis Reyes Ortiz (Doutoramento)
Università degli Studi di Genova, Itália

Universitat Politècnica de Catalunya, Espanha
2013 Characterisation of biological tissue: measurement of acoustic properties for Ultrasound Therapy
Arguente principal
 Sara Ferreira Reis (Mestrado)
Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
Distinções

Prémio

2014 António Xavier Award
Universidade Nova de Lisboa Instituto de Tecnologia Química e Biológica, Portugal

Bruker Internacional, Portugal