Joana Raquel Cerqueira da Silva (DA1B-9169-EE8C)

Curriculum Vitae

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

Joana Raquel Cerqueira da Silva; Diana Sousa Gomes; PhD Inês Nunes de Sousa Soares. "Technological Solution for Pervasive Fall Risk Assessment". 2020.
Published
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
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
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
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
Silva, Joana. "Comparing Machine Learning Approaches for Fall Risk Assessment". Paper presented in BIOSTEC 2017, 2017.
10.5220/0006227802230230
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
Silva, Joana. "Inertial Sensors for Assessment of Joint Angles". Paper presented in REHAB '16, 2016.
10.1145/3051488.3051504
Silva, Joana. "Accelerometer-based methods for energy expenditure using the smartphone". Paper presented in MeMeA 2015, 2015.
10.1109/MeMeA.2015.7145190
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
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
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

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
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
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
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
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
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
Silva, Joana. "Classification of knee arthropathy with accelerometer-based vibroarthrography.". Studies in health technology and informatics 224 (2016): 33-39.
Published

Other

Other output

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