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Joana Raquel Silva is a Senior Researcher at Fraunhofer Portugal AICOS in the group of Intelligent Systems. She has an Integrated Master (2013) in Bioengineering from the Faculty of Engineering at the University of Porto (FEUP) and a Ph.D. (2020) in Biomedical Engineering at the FEUP in the area of Machine Learning. Her research areas are related to signal processing, time series analysis, and machine learning, applied to the detection and assessment of the risk of falling and monitoring of physical activity. She has 8 years of experience in R&D projects (FCC, FallSensing, DeM, MDevNet, IANVS, FRADE, SAIFFER), and in a project of direct contract with industry (GoLivePhone). She coordinated 2 projects in co-promotion (FallSensing, FRADE), supervised 6 master theses, and was involved in the submission of 11 R&D project proposals. She is the author of 25 scientific articles and 2 patents. She has been actively involved in organizing and providing Machine Learning training workshops with theoretical and hands-on sessions to industry partners and internally at AICOS.
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Identification

Personal identification

Full name
Joana Raquel Cerqueira da Silva

Citation names

  • Joana Raquel Cerqueira da Silva

Author identifiers

Ciência ID
DA1B-9169-EE8C
ORCID iD
0000-0002-6214-5868
Google Scholar ID
https://scholar.google.com/citations?user=45Z0RwUAAAAJ&hl=en

Email addresses

  • jraquelcs@gmail.com (Personal)

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Computer Sciences
Education
Degree Classification
2015/09 - 2020/11
Concluded
 Programa Doutoral em Engenharia Biomédica (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
"Machine learning applied to fall prediction and detection using wearable sensors" (THESIS/DISSERTATION)
 PhD
2013
Concluded
 Mestrado Integrado em Bioengenharia (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
"Smartphone Based Human Activity Prediction" (THESIS/DISSERTATION)
 16
Affiliation

Science

Category
Host institution 		Employer
2013/07/23 - Current Contracted Researcher (Research) Associação Fraunhofer Portugal Research, Portugal
Projects

Contract

Designation Funders
2019/03/01 - Current Indoor Activity Notification for Vigilance Services (IANVS)
ALL/0001/2018
Researcher
Associação Fraunhofer Portugal Research, Portugal
 Associação para a Inovação e Desenvolvimento da FCT
Ongoing
2017/09/01 - Current Rede Nacional de Transferência de Conhecimento de Dispositivos Médicos (MDevNet)
26792
Principal investigator
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Ongoing
2021/01 - 2023/06 Service assisted by AI to guarantee staff and safety security (SAIFFER)
E! 114310
Principal investigator
Associação Fraunhofer Portugal Research, Portugal
Ongoing
2020/04/23 - 2020/12/31 Pervasive platform for fall detection, fall risk assessment and prevention (FRADE)
RIS-1001-8273
Principal investigator
Associação Fraunhofer Portugal Research, Portugal
Ongoing
2016/01/01 - 2019/12/31 Deus ex Machina (DEM) - Symbiotic technology for societal efficiency gains
NORTE-01-0145-FEDER-000026
Researcher
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluded
2013/09/01 - 2019/12/31 Smart Companion (SC)
Direct industry project
Researcher
Associação Fraunhofer Portugal Research, Portugal
Concluded
2015/11/01 - 2018/10/31 FallSensing - Technological solution for fall risk screening and falls prevention
POCI-01-0247-FEDER-003464
Principal investigator
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluded
2012/12/01 - 2015/07/30 Fall Competence Center (FCC)
NORTE-07-0124-FEDER-000041
Researcher
Associação Fraunhofer Portugal Research, Portugal
 Comissao de Coordenacao e Desenvolvimento Regional do Norte
Concluded
Outputs

Publications

Conference paper
  1. Joana Raquel Cerqueira da Silva; Diana Sousa Gomes; PhD Inês Nunes de Sousa Soares. "Technological Solution for Pervasive Fall Risk Assessment". 2020.
    Published
  2. 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". Paper presented in MeMeA 2019, 2019.
    10.1109/memea.2019.8802140
  3. Silva, Joana Raquel; Dinis Benjamim Ferreira Moreira; Elsa Regina Matos Oliveira; Francisco Maria Cruz Nunes; Eduardo Pereira; Martina Caic. "Design and Evaluation of a Fall Prevention Multiplayer Game for Senior Care Centres". Paper presented in ICEC 2018, 2018.
    Published • https://doi.org/10.1007/978-3-319-99426-0_9
  4. Silva, Joana; Moreira, Dinis; Madureira, Joao; Pereira, Eduardo; Dias, Andre; Sousa, Ines. "A Technological Solution for Supporting Fall Prevention Exercises at the Physiotherapy Clinic". Paper presented in MeMeA 2018, 2018.
    Published • 10.1109/memea.2018.8438811
  5. Silva, Joana; Sousa, Ines; Cardoso, Jaime. "Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls". Paper presented in EMBC 2019, 2018.
    Published • 10.1109/embc.2018.8513001
  6. Silva, Joana. "Comparing Machine Learning Approaches for Fall Risk Assessment". Paper presented in BIOSTEC 2017, 2017.
    10.5220/0006227802230230
  7. Silva, Joana. "Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors". Paper presented in MeMeA 2016, 2016.
    10.1109/MeMeA.2016.7533778
  8. Silva, Joana. "Inertial Sensors for Assessment of Joint Angles". Paper presented in REHAB '16, 2016.
    10.1145/3051488.3051504
  9. Silva, Joana. "Accelerometer-based methods for energy expenditure using the smartphone". Paper presented in MeMeA 2015, 2015.
    10.1109/MeMeA.2015.7145190
  10. Aguiar, B.; Silva, J.; Rocha, T.; Carneiro, S.; Sousa, I.. "Monitoring physical activity and energy expenditure with smartphones". Paper presented in BHI 2014, Valencia, 2014.
    Published • 10.1109/BHI.2014.6864451
  11. Silva, J.; Monteiro, M.; Sousa, F.. "Human activity classification with inertial sensors". Paper presented in Studies in health technology and informatics, Vienna, 2014.
    Published • 10.3233/978-1-61499-393-3-101
  12. Aguiar, Bruno; Rocha, Tiago; Silva, Joana; Sousa, Ines. "Accelerometer-based fall detection for smartphones". Paper presented in MeMeA 2014, 2014.
    10.1109/memea.2014.6860110
Journal article
  1. 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 (2020): 1-1. http://dx.doi.org/10.1109/jsen.2020.2970994.
    Open access • Published • 10.1109/jsen.2020.2970994
  2. 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.
    Published • 10.1109/JBHI.2019.2951230
  3. 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.
    Published • 10.3390/s19122803
  4. José Alves; Joana Silva; Eduardo Grifo; Carlos Resende; Inês Sousa. "Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location". Sensors 19 11 (2019): 2426-2426. https://doi.org/10.3390/s19112426.
    Published • 10.3390/s19112426
  5. Bota, Patrícia; Silva, Joana; Folgado, Duarte; Gamboa, Hugo. "A Semi-Automatic Annotation Approach for Human Activity Recognition". Sensors 19 3 (2019): 501. http://dx.doi.org/10.3390/s19030501.
    10.3390/s19030501
  6. 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 (2018): https://doi.org/10.2196/10304.
    10.2196/10304
  7. Silva, Joana. "Classification of knee arthropathy with accelerometer-based vibroarthrography.". Studies in health technology and informatics 224 (2016): 33-39.
    Published

Other

Other output
  1. Technological-based platform for risk assessment, detection and prevention of falls among home-dwelling elderly: a study protocol. (Preprint). 2020. Maria De Fátima Araújo; Nilza Nogueira; Joana Silva; Sílvia Rego. https://doi.org/10.2196/preprints.25781.
    10.2196/preprints.25781
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2019/09 - Current Tactile cueing for gait and balance
Supervisor
 Engenharia Biomédica (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade Nova de Lisboa, Portugal
2018/09 - 2019/09 Enabling value based-healthcare for Parkinson Disease with motion sensors
Supervisor
 Engenharia Biomédica (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade Nova de Lisboa, Portugal
2017/09 - 2018/09 Unsupervised Human Motion Annotation
Supervisor
 Engenharia Biomédica (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade Nova de Lisboa, Portugal
2016/09 - 2017/07 Daily Activity Patterns Recognition
Supervisor
 Engenharia Informática e Computação (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
2016/09 - 2017/07 Screening tool to assess the risk of falling
Co-supervisor
 Engenharia Informática e Computação (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
2015/09 - 2016/07 Smart Heart Rate and Activity Monitoring
Supervisor
 Bioengenharia (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
2014/09 - 2015/09 Accelerometer-based Vibroarthrography of Knee Joint
Supervisor
 Bioengenharia (Master)
Associação Fraunhofer Portugal Research, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal

Association member

Society Organization name Role
2018/03/01 - Current Associação Portuguesa de Ciencia de Dados (DSPT) Organizer and Leader of the Porto team
Distinctions

Award

2018 Entry Level Excellence Award (Fraunhofer Portugal AICOS)
Associação Fraunhofer Portugal Research, Portugal
2014 Young Scientist Best Paper Award
2008 School Achievement Award, attributed by the Portuguese Government
Governo da República Portuguesa, Portugal