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I am Pedro Matias, a Data Scientist with an MSc degree in Biomedical Engineering from NOVA University School of Science and Technology. Currently, and since 2021, I hold the position of Machine Learning / Data Scientist at Fraunhofer AICOS. Since then, I've actively contributed to healthcare projects aimed at enhancing traditional clinical practices, including diagnosis, prognosis, monitoring, and screening. My passion lies in developing intelligent systems using AI techniques and integrating them into existing frameworks to address real-world challenges, ultimately improving the end-user experience. I believe that bridging the gap between research and practical application is crucial for achieving success and driving innovation in any field, and it's this belief that motivates me.
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Identification

Personal identification

Full name
Pedro Matias

Citation names

  • Matias, Pedro

Author identifiers

Ciência ID
0810-5A03-0247
ORCID iD
0000-0001-6907-089X

Knowledge fields

  • Engineering and Technology - Medical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Spanish; Castilian Elementary (A2) Elementary (A2) Beginner (A1) Intermediate (B1) Elementary (A2)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
German Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Portuguese (Mother tongue)
Education
Degree Classification
2018/09 - 2021/02
Concluded
 Biomedical Engineering (Mestrado)
Major in Data Science, Analog/Digital Instrumentation, Signal processing
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Flexible Time Series Matching for Clinical and Behavioral Data" (THESIS/DISSERTATION)
 18
2015/09 - 2018/06
Concluded
 Biomedical Engineering Sciences (Licenciatura)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
 17
Affiliation

Science

Category
Host institution 		Employer
2021/01/01 - Current Contracted Researcher (Research) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal
Projects

Grant

Designation Funders
2023/03 - 2026/11 Synthetic and scalable data platform for medical empowered AI
101095387
Researcher
Associação Fraunhofer Portugal Research, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal

Universidade de Lisboa Laboratório de Instrumentação Engenharia Biomédica e Física da Radiação, Portugal
Ongoing
2021/01/01 - 2024/06/30 Home-based Monitoring of Functional Disability in Amyotrophic Lateral Sclerosis with Mobile Sensing
PTDC/MEC-NEU/6855/2020
Researcher
Associação Fraunhofer Portugal Research, Portugal

Universidade de Lisboa Instituto de Medicina Molecular, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2022/02 - 2023/06 Intelligent Customer and Advanced Natural systems
LISBOA-01-0247-FEDER-048958 | POCI-01-0247-FEDER-048958
Researcher
Associação Fraunhofer Portugal Research, Portugal

NOS Inovação, Portugal
Agência Nacional de Inovação SA
Concluded
2021/01 - 2022/06 vOice Screening of CoronA viRus
LISBOA-01-02B7-FEDER-051277 | POCI-01-02B7-FEDER-051277
Researcher
Associação Fraunhofer Portugal Research, Portugal

Universidad Politécnica de Madrid, Spain

Universidade NOVA de Lisboa NOVA Medical School, Portugal

NOS Inovação, Portugal
Agência Nacional de Inovação SA
Concluded

Contract

Designation Funders
2021/04/01 - 2024/02/29 Mobile Patient-centred System to Improve Drug Trials and Care of Older-adults with Rheumatic Diseases
AAL/0007/2020
Researcher
Associação Fraunhofer Portugal Research, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
Outputs

Publications

Conference paper
  1. Curioso, Isabel; Ribeiro, Bruno; Matias, Pedro; Santos, Ricardo; Sousa, Joana; Ferreira, João; Gamboa, Hugo; Belo, David. "Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data". L'aquila, 2023.
    Published • 10.1109/cbms58004.2023.00234
  2. Matias, Pedro; Folgado, Duarte; Gamboa, Hugo; Carreiro, André. "Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score". 2021.
    Published • 10.5220/0010320500910102
Journal article
  1. Pedro Matias; Ricardo Araújo; Ricardo Graça; Ana Rita Henriques; David Belo; Maria Valada; Nasim Nakhost Lotfi; et al. "COTIDIANA Dataset – Smartphone-Collected Data on the Mobility, Finger Dexterity, and Mental Health of People With Rheumatic and Musculoskeletal Diseases". IEEE Journal of Biomedical and Health Informatics (2024): https://doi.org/10.1109/JBHI.2024.3456069.
    10.1109/JBHI.2024.3456069
  2. Pedro Matias; Sílvia Rêgo; Francisco Nunes; Ricardo Araújo; Nadja Kartschmit; Tanita-Christina Wilhelmer; Tanja Stamm; Paul Studenic. "Self-Monitoring Practices and Use of Self-Monitoring Technologies by People with Rheumatic and Musculoskeletal Diseases: An International Survey Study". Healthcare (2024): https://www.mdpi.com/2227-9032/12/19/1960.
    10.3390/healthcare12191960
  3. Pedro Carreiro-Martins; Paulo Paixão; Iolanda Caires; Pedro Matias; Hugo Gamboa; Filipe Soares; Pedro Gomez; Joana Sousa; N Neuparth. "Acoustic and Clinical Data Analysis of Vocal Recordings: Pandemic Insights and Lessons". Diagnostics (2024): https://www.mdpi.com/2075-4418/14/20/2273.
    10.3390/diagnostics14202273
  4. Carreiro-Martins, P.; Paixão, P.; Caires, I.; Rodrigues, A.; Matias, P.; Gamboa, H.; Carreiro, A.; et al. "Diagnosis of COVID-19 by sound-based analysis of vocal recordings". Pulmonology 29 6 (2023): 455-456. http://dx.doi.org/10.1016/j.pulmoe.2023.03.003.
    10.1016/j.pulmoe.2023.03.003
  5. Matias, Pedro; Costa, Joao; Carreiro, Andre V.; Gamboa, Hugo; Sousa, Ines; Gomez, Pedro; Sousa, Joana; et al. "Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline". IEEE Access 10 (2022): 105149-105168. http://dx.doi.org/10.1109/access.2022.3211295.
    10.1109/access.2022.3211295
  6. Nunes, Maria Lua; Folgado, Duarte; Fujao, Carlos; Silva, Luis; Rodrigues, Joao; Matias, Pedro; Barandas, Marilia; et al. "Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors". IEEE Access 10 (2022): 83221-83235. http://dx.doi.org/10.1109/access.2022.3196473.
    10.1109/access.2022.3196473
  7. Matias, Pedro; Folgado, Duarte; Gamboa, Hugo; Carreiro, André. "Time Series Segmentation Using Neural Networks with Cross-Domain Transfer Learning". Electronics 10 15 (2021): 1805. http://dx.doi.org/10.3390/electronics10151805.
    10.3390/electronics10151805
Thesis / Dissertation
  1. "Flexible Time Series Matching for Clinical and Behavioral Data". Master, Associação Fraunhofer Portugal Research, 2021. http://hdl.handle.net/10362/157934.
Activities

Committee member

Activity description
Role 		Institution / Organization
2019/05/01 - 2019/05/31 Scientific Committee Laboratory Monitor - European Union Science Olympiad 2019 (EUSO 2019)
Member
 Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
Distinctions

Award

2020 Academic Merit Scholarship Award
Universidade Nova de Lisboa, Portugal