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Duarte Folgado is a Senior Scientist at the Intelligent Systems research group at Fraunhofer AICOS and an Invited Assistant Professor in the Physics Department at NOVA FCT. He studied Biomedical Engineering and completed his MSc (2015) and PhD (2024) at the NOVA School of Science and Technology (NOVA FCT). He was a Visiting Graduate Student in 2023 at the Massachusetts Institute of Technology, collaborating with the Institute of Medical Engineering & Science and the MIT.nano. He received the Best Student Award in Biomedical Engineering (2015), the Merit Scholarship Grant (2015), and a Fulbright Award for Research (2022). Currently, he is developing artificial intelligence solutions for healthcare and manufacturing. His main research interests include data mining, machine learning, deep learning, and Explainable AI, specializing in techniques for time series datasets and also in human-AI interaction. Duarte has published more than 30 peer-reviewed articles and has an h-index of 15. He has also published two open-source software libraries for time series analysis.
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Identificação

Identificação pessoal

Nome completo
Duarte Miguel dos Santos Nunes Folgado

Nomes de citação

  • Folgado, Duarte

Identificadores de autor

Ciência ID
5617-4E90-E1AB
ORCID iD
0000-0002-8481-6079
Google Scholar ID
2UsCkTQAAAAJ&hl

Endereços de correio eletrónico

  • duarte.folgado@fraunhofer.pt (Profissional)

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação
Formação
Grau Classificação
2019 - 2024/01/16
Concluído
 PhD in Biomedical Engineering (Doutoramento)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Explainable Artificial Intelligence in Time Series Applied to Physiological Data" (TESE/DISSERTAÇÃO)
2023 - 2023
Concluído
 Visiting Graduate Student (Doutoramento)
Massachusetts Institute of Technology, Estados Unidos
2010 - 2015
Concluído
 Integrated Master in Biomedical Engineering (Mestrado integrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Measuring Repetitive Tasks using Inertial Sensors" (TESE/DISSERTAÇÃO)
 18.4
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2015 - Atual Investigador Contratado (Investigação) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal
2023 - 2023 Investigador visitante (Investigação) Massachusetts Institute of Technology, Estados Unidos
Massachusetts Institute of Technology Institute for Medical Engineering and Science, Estados Unidos

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2020/11/09 - Atual Assistente Convidado (Docente Universitário) Universidade Nova de Lisboa, Portugal
Universidade Nova de Lisboa Departamento de Física, Portugal
Projetos

Projeto

Designação Financiadores
2023/04/01 - 2025/12/31 Center for Responsible AI
01/C05-i10/2024.PC645008882-00000055
Investigador
European Commission
Em curso
2022/06/01 - 2024/12/31 Agenda Microelectrónica
02/C05-i01.01/2022.PC644916358-00000028
Investigador
Associação Fraunhofer Portugal Research, Portugal
 European Commission
Em curso
2021/01/01 - 2024/06/30 Home-based monitoring of functional disability in amyotrophic lateral sclerosis with mobile sensing
PTDC/MEC-NEU/6855/2020
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Fundação para a Ciência e a Tecnologia
Em curso
2020/03/01 - 2023/03/31 Digital Transformation in Industry with a Focus on the Operator 4.0
NORTE01-0247-FEDER-045910
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
2020/10/01 - 2021/03/31 FAIRisk - Improving risk estimation with open resources
831644
Investigador
Associação Fraunhofer Portugal Research, Portugal
 European Commission
Concluído
2018/11/01 - 2020/08/31 Total Integrated and Predictive Manufacturing System Platform for Industry 4.0
POCI-01-0247-FEDER-038436
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
2016/01/02 - 2019/12/31 Symbiotic technology for societal efficiency gains: Deus ex Machina (DEM)
NORTE-01-0145-FEDER-000026
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Comissao de Coordenacao e Desenvolvimento Regional do Norte
Concluído
2018/06/27 - 2019/09/30 Extending Physiotherapy Programs to People’s Home
POCI-01-0247-FEDER-017863
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
2018/01/01 - 2018/07/31 Freezing in Parkinson's disease: improving quality of life with an automatic control system
20140431
Investigador
Associação Fraunhofer Portugal Research, Portugal
 Fundació la Marató de TV3
Concluído
2016/03/01 - 2018/06/30 Internet of things in Package: Wafer Level modular Architecture for Internet of Things
POCI-01-0247-FEDER-017763
Bolseiro de Mestrado
Associação Fraunhofer Portugal Research, Portugal
 Agência Nacional de Inovação SA
Concluído
Produções

Publicações

Artigo em conferência
  1. Diogo Carvalho; Luis Silva; Miguel Carvalho; Mariana Dias; Nelson Costa; Duarte Folgado; Maria Lua; Hugo Gamboa; Elazer Edelman. "Heart rate variability during repetitive work in the presence of fatigue". 2023.
    10.54941/ahfe1003433
  2. Diogo Carvalho; Luis Silva; Miguel Carvalho; Mariana Dias; Nélson Costa; Duarte Folgado; Maria Lua Nunes; et al. "Cardiovascular Reactivity (CVR) During Repetitive Work in the Presence of Fatigue". 2023.
    10.54941/ahfe1002833
  3. Ricardo Cebola; Duarte Folgado; André Carreiro; Hugo Gamboa. "Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis". 2023.
    10.5220/0011694700003414
  4. Cristiana Fernandes; Luis Miguel Matos; Duarte Folgado; Maria Lua Nunes; Joao Rui Pereira; Andre Pilastri; Paulo Cortez. "A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors". 2022.
    10.1109/ijcnn55064.2022.9892409
  5. Santos, António; Rodrigues, João; Folgado, Duarte; Santos, Sara; Fujão, Carlos; Gamboa, Hugo. "Self-Similarity Matrix of Morphological Features for Motion Data Analysis in Manufacturing Scenarios". 2021.
    10.5220/0010252800800090
  6. Santos, A.; Rodrigues, J.; Folgado, D.; Santos, S.; Fujão, C.; Gamboa, H.. "Self-similarity matrix of morphological features for motion data analysis in manufacturing scenarios". 2021.
  7. Santos, Sara; Folgado, Duarte; Rodrigues, João; Mollaei, Nafiseh; Fujão, Carlos; Gamboa, Hugo. "Explaining the Ergonomic Assessment of Human Movement in Industrial Contexts". 2020.
    10.5220/0008953800790088
  8. Varandas, Rui; Folgado, Duarte; Gamboa, Hugo. "Evaluation of Spatial-Temporal Anomalies in the Analysis of Human Movement". 2019.
    10.5220/0007386701630170
  9. Pereira, Ana; Folgado, Duarte; Cotrim, Ricardo; Sousa, Inês. "Physiotherapy Exercises Evaluation using a Combined Approach based on sEMG and Wearable Inertial Sensors". 2019.
    10.5220/0007391300730082
  10. "Physiotherapy exercises evaluation using a combined approach based on sEMG and wearable inertial sensors". 2019.
  11. Pereira, A.; Folgado, D.; Nunes, F.; Almeida, J.; Sousa, I.; Folgado, Duarte. "Using Inertial Sensors to Evaluate Exercise Correctness in Electromyography-based Home Rehabilitation Systems". 2019.
    10.1109/MeMeA.2019.8802152
Artigo em revista
  1. Marília Barandas; Lorenzo Famiglini; Andrea Campagner; Duarte Folgado; Raquel Simão; Federico Cabitza; Hugo Gamboa. "Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram". Information Fusion (2024): http://dx.doi.org/10.1016/j.inffus.2023.101978.
    10.1016/j.inffus.2023.101978
  2. ANDREA CAMPAGNER; Marília Barandas; Duarte Folgado; Hugo Gamboa; Federico Cabitza. "Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification". IEEE Transactions on Pattern Analysis and Machine Intelligence (2024): 1–12-1–12. http://dx.doi.org/10.1109/tpami.2024.3388097.
    10.1109/tpami.2024.3388097
  3. Duarte Folgado; Marília Barandas; Lorenzo Famiglini; Ricardo Santos; Federico Cabitza; Hugo Gamboa. "Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series". Information Fusion (2023): https://doi.org/10.1016/j.inffus.2023.101955.
    10.1016/j.inffus.2023.101955
  4. Mariana Dias; Luís Silva; Duarte Folgado; Maria Lua Nunes; Cátia Cepeda; Marcus Cheetham; Hugo Gamboa. "Cardiovascular load assessment in the workplace: A systematic review". International Journal of Industrial Ergonomics (2023): http://dx.doi.org/10.1016/j.ergon.2023.103476.
    10.1016/j.ergon.2023.103476
  5. Duarte Folgado; Maria Margarida Mendes Antunes; Marília Barandas; André Carreiro; Carla Quintão; Mamede de Carvalho; Hugo Gamboa. "A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography". Biomedical Signal Processing and Control 79 (2023): 104011-104011. http://dx.doi.org/10.1016/j.bspc.2022.104011.
    10.1016/j.bspc.2022.104011
  6. Cabitza, F.; Campagner, A.; Ronzio, L.; Cameli, M.; Mandoli, G.E.; Pastore, M.C.; Sconfienza, L.M.; et al. "Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis". Artificial Intelligence in Medicine 138 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85147857471&partnerID=MN8TOARS.
    10.1016/j.artmed.2023.102506
  7. João Rodrigues; Hui Liu; Duarte Folgado; David Belo; Tanja Schultz; Hugo Gamboa. "Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation". Biosensors (2022): https://doi.org/10.3390/bios12121182.
    10.3390/bios12121182
  8. Luís Silva; Mariana Dias; Duarte Folgado; Maria Nunes; Praneeth Namburi; Brian Anthony; Diogo Carvalho; et al. "Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work". Sensors 22 11 (2022): 4247-4247. https://doi.org/10.3390/s22114247.
    10.3390/s22114247
  9. Duarte Folgado; Marília Barandas; Margarida Antunes; Maria Lua Nunes; Hui Liu; Yale Hartmann; Tanja Schultz; Hugo Gamboa. "TSSEARCH: Time Series Subsequence Search Library". SoftwareX (2022): https://doi.org/10.1016/j.softx.2022.101049.
    10.1016/j.softx.2022.101049
  10. Marília Barandas; Duarte Folgado; Ricardo Santos; Raquel Simão; Hugo Gamboa. "Uncertainty-Based Rejection in Machine Learning: Implications for Model Development and Interpretability". Electronics 11 3 (2022): 396-396. https://doi.org/10.3390/electronics11030396.
    10.3390/electronics11030396
  11. Maria Lua Nunes; Duarte Folgado; Carlos Fujao; Luis Silva; Joao Rodrigues; Pedro Matias; Marilia Barandas; et al. "Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors". IEEE Access 10 (2022): 83221-83235. https://doi.org/10.1109/ACCESS.2022.3196473.
    10.1109/ACCESS.2022.3196473
  12. Pedro Matias; Duarte Folgado; Hugo Gamboa; André Carreiro. "Time Series Segmentation Using Neural Networks with Cross-Domain Transfer Learning". Electronics 10 15 (2021): 1805-1805. https://doi.org/10.3390/electronics10151805.
    10.3390/electronics10151805
  13. Carlos Resende; Duarte Folgado; João Oliveira; Bernardo Franco; Waldir Moreira; Antonio Oliveira-Jr; Armando Cavaleiro; Ricardo Carvalho. "TIP4.0: Industrial Internet of Things Platform for Predictive Maintenance". Sensors 21 14 (2021): 4676-4676. https://doi.org/10.3390/s21144676.
    10.3390/s21144676
  14. Inês Neves; Duarte Folgado; Sara Santos; Marília Barandas; Andrea Campagner; Luca Ronzio; Federico Cabitza; Hugo Gamboa. "Interpretable heartbeat classification using local model-agnostic explanations on ECGs". Computers in Biology and Medicine 133 (2021): 104393-104393. https://doi.org/10.1016/j.compbiomed.2021.104393.
    10.1016/j.compbiomed.2021.104393
  15. Letícia Fernandes; Sara Santos; Marília Barandas; Duarte Folgado; Ricardo Leonardo; Ricardo Santos; André Carreiro; Hugo Gamboa. "An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning". Sensors (2020): https://doi.org/10.3390/s20226664.
    10.3390/s20226664
  16. Catarina Pires; Marília Barandas; Letícia Fernandes; Duarte Folgado; Hugo Gamboa. "Towards Knowledge Uncertainty Estimation for Open Set Recognition". Machine Learning and Knowledge Extraction (2020): https://doi.org/10.3390/make2040028.
    10.3390/make2040028
  17. Barandas, M.; Folgado, D.; Fernandes, L.; Santos, S.; Abreu, M.; Bota, P.; Liu, H.; Schultz, T.; Gamboa, H.. "TSFEL: Time Series Feature Extraction Library". SoftwareX 11 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85081936815&partnerID=MN8TOARS.
    10.1016/j.softx.2020.100456
  18. Patrícia Bota; Joana Silva; Duarte Folgado; Hugo Gamboa. "A Semi-Automatic Annotation Approach for Human Activity Recognition". Sensors (2019): https://doi.org/10.3390/s19030501.
    10.3390/s19030501
  19. João Rodrigues; Duarte Folgado; David Belo; Hugo Gamboa. "SSTS: A syntactic tool for pattern search on time series". Information Processing & Management 56 1 (2019): 61-76. https://doi.org/10.1016/j.ipm.2018.09.001.
    10.1016/j.ipm.2018.09.001
  20. Duarte Folgado; Marília Barandas; Ricardo Matias; Rodrigo Martins; Miguel Carvalho; Hugo Gamboa. "Time Alignment Measurement for Time Series". Pattern Recognition 81 (2018): 268-279. https://doi.org/10.1016/j.patcog.2018.04.003.
    10.1016/j.patcog.2018.04.003
Capítulo de livro
  1. Ricardo Ribeiro; Alexandre Bernardino; Gonçalo Cruz; Diogo Silva; Luís Felix; João Caetano; Duarte Folgado; et al. "Towards the Automation of Wildfire Monitoring with Aerial Vehicles: The FIREFRONT Project". 2023.
    10.1007/978-3-031-37742-6_15
  2. António Santos; João Rodrigues; Duarte Folgado; Sara Santos; Carlos Fujão; Hugo Gamboa. "Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios". 2022.
    10.1007/978-3-031-20664-1_5
  3. Santos, Sara; Folgado, Duarte; Rodrigues, João; Mollaei, Nafiseh; Fujão, Carlos; Gamboa, Hugo. "Exploring Inertial Sensor Fusion Methods for Direct Ergonomic Assessments". In Communications in Computer and Information Science, 289-303. Springer International Publishing, 2021.
    10.1007/978-3-030-72379-8_14
Pré-impressão
  1. Pedro Santos-Rocha; Nuno Bento; Duarte Folgado; André Valério Carreiro; Miguel Oliveira Santos; Mamede de Carvalho; Bruno Miranda. "Evaluation of smartphone-based cough data in amyotrophic lateral sclerosis as a potential predictor of functional disability". 2024. https://doi.org/10.1101/2024.03.24.24304803.
    10.1101/2024.03.24.24304803
Recurso online
  1. Barandas, Marília; Gamboa, Hugo. Time Series Subsequence Search Library. 2022. https://github.com/fraunhoferportugal/tssearch.
  2. Marília Barandas; Folgado, Duarte; Hugo Gamboa. Time Series Feature Extraction Library. 2020. https://github.com/fraunhoferportugal/tsfel.
Tese / Dissertação
  1. "Explainable Artificial Intelligence Applied to Time Series". Doutoramento, Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2023.
  2. "Measuring Repetitive Tasks using Inertial Sensors". Mestrado, Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2015.

Propriedade Intelectual

Patente
  1. Folgado, Duarte; Barandas, Marília; Gamboa, Hugo; Miguel Ângelo Fernandes Carvalho. 2022. "Method and device for assessing physical movement of an operator during a work cycle execution on an industrial manufacturing work station". Portugal.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2024 Explainable Artificial Intelligence in Time Series applied to Physiological Data Talks@GAIPS
Group of AI for People and Society (GAIPS) (Portugal)
2023 Analyzing 3D Human Movement using Inertial Sensors: Lessons Learning Working with the Manufacturing Industry Physics Department Seminar Series
(Portugal)
2023 Introduction to Machine Learning Workshop
NOVA School of Science and Technology (Portugal)
2023 Operator: Digital Transformation in Industry with a Focus on the Operator 4.0 Edelman Lab Seminar Series
Massachusetts Institute of Technology (Cambridge, Estados Unidos)
2022 Operator: Digital Transformation in Industry with a Focus on the Operator 4.0 European Big Data Value Forum

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2024 - 2024 Interpretable multimodal prognosis for amyotrophic lateral sclerosis
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022 - 2022 Automatic speech degeneration analysis in amyotrophic lateral sclerosis
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2021 Towards amyotrophic lateral sclerosis interpretable diagnosis using surface electromyography
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2021 Quantifying the ergonomic risk and biomechanical exposure in automotive assembly lines
Coorientador
 Biomedical Engineering (Mestrado)
Universidade de Lisboa, Portugal
2020 - 2020 Opening the black-box of artificial intelligence predictions on clinical decision support systems
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019 - 2019 Explaining the ergonomic assessment of human movement in industrial contexts
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2018 - 2018 Semi-automatic annotation approach for human activity recognition
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2018 - 2018 Evaluation of spatial-temporal anomalies in the analysis of human movement
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2017 - 2017 Companion unmanned aerial vehicles for retail
Coorientador
Universidade do Porto Faculdade de Engenharia, Portugal

Arbitragem científica em conferência

Nome da conferência Local da conferência
2024 - 2024 xAI 2024
2024 - 2024 ICPR 2024
2024 - 2024 EXPLAINS 2024
2023 - 2023 xAI 2023
2023 - 2023 IJCRS 2023
2021 - 2021 HEALTHINFO 2021
2021 - 2021 pHealth 2021

Revisão ad hoc de artigos em revista

Nome da revista (ISSN) Editora
2024 - Atual Artificial Intelligence in Medicine Elsevier
2024 - Atual IEEE Transactions on Systems, Man, and Cybernetics: Systems (2168-2232) IEEE
2023 - Atual Nature Scientific Reports Nature
2023 - Atual Applied Soft Computing Elsevier
2021 - Atual Pattern Recognition Elsevier
2020 - Atual International Journal of Medical Informatics Elsevier
2019 - 2020 Cognitive Computation Springer
Distinções

Prémio

2022 Fulbright Grant for Research
Fulbright Portugal, Portugal
2020 Entry Level Excellence Award
Associação Fraunhofer Portugal Research, Portugal
2017 Runner-up award in VISUM Summer School Competition
2015 Merit Scholarship for Exceptional Achievement (Award to the top students of the Faculty)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2015 Best Integrated Master's Student in Biomedical Engineering Award
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal