Luís Miguel Domingues Ferreira Silva

Investigador Auxiliar
212 948 576

Graus Académicos

Posições Pós-Doc

Postdoctoral Fellowship in Biomedical Engineering (2021 – 2024, Faculty of Sciences and Technology, NOVA University of Lisbon).

Postdoctoral Fellowship in Biomechanics (2018 – 2019, Department of Biomechanics, University of Nebraska, USA).

PhD in Human Movement Science (2014, Faculty of Human Kinetics – University of Lisbon).

Master's Degree in Statistics, Mathematics, and Computing (2014, Open University).

Master's Degree in Artistic Performance (2010, Faculty of Human Kinetics – University of Lisbon).

Bachelor's Degree in Sports, specialization in Physical Conditioning (2007, Rio Maior School of Sports, Polytechnic Institute of Santarém).

Áreas de Investigação

  • Analysis of motor behavior variability using nonlinear methods.
  • Interpretation of the bio-behavioral relationship between stress and resilience in healthcare professionals through Artificial Intelligence.
  • Artificial Intelligence algorithms for the generation of synthetic clinical data.
  • Industry 4.0 and the stratification of occupational risks through physiological and motor response.

Projetos de Investigação

KEEPCARING - Future Proofing Health and Care Systems, Safeguarding Healthcare Professionals in Hospital Settings (101137244) financed by Horizon Europe | HORIZON-HLTH-2023-CARE-04.

AISym4Med - Synthetic and Scalable Data Platform for Medical Empowered AI (101095387) funding by Horizon Europe | HORIZON-HLTH-2022-IND-13.

OPERATOR - Digital Transformation in Industry with a Focus on the Operator 4.0 funding by Fundo Europeu de Desenvolvimento Regional (FEDER) – Massachusetts Institute of Technology (MIT) flagship project

PrevOccupAI - Artificial Intelligence Applied to the Prevention of Work-related Diseases in Public Administration (DSAIPA/AI/0105/2019) funded by the Portuguese Foundation for Science and Technology.

Pilot Cobre Grant funded by the National Institutes of Health (NIH P20GM109090) – Novel Visual Stimulus for Gait Rehabilitation in Older Adults. Department of Biomechanics - University of Nebraska Omaha, USA.

PhD Scholarship - Neuromuscular Activity in the Golf Swing with Implications for the Practice and in the Prevention of Overuse Injuries (PTDC/DES/105176/2008), CIPER-FMH funded by the Portuguese Foundation for Science and Technology.


Publicações Representativas

Dias, M., Silva, L., Folgado, D., Nunes, M. L., Cepeda, C., Cheetham, M., & Gamboa, H. (2023). Cardiovascular load assessment in the workplace: A systematic review. International Journal of Industrial Ergonomics, 96, 103476.


Vaz, J., Silva, L., & Stergiou, N. (2023). Stride‐to‐Stride Fluctuations of Human Gait Are Affected by Chronobiology: An Exploratory Study. Advanced Biology, 2200235.


Dias, M., Probst, P., Silva, L., Gamboa, H. (2023). Cleaning ECG with Deep Learning: A Denoiser Based on Gated Recurrent Units. In: Camarinha-Matos, L.M., Ferrada, F. (eds) Technological Innovation for Connected Cyber Physical Spaces. DoCEIS 2023. IFIP Advances in Information and Communication Technology, vol 678. Springer, Cham.


Carvalho, D., Silva, L., Carvalho, M., Dias, M., Costa, N., Folgado, D., Lua, M., Gamboa, H., Edelman, E.  (2023). Heart rate variability during repetitive work in the presence of fatigue. In: Francisco Rebelo and Zihao Wang (eds) Ergonomics In Design. AHFE (2023) International Conference. AHFE Open Access, vol 77. AHFE International, USA.


Carvalho, D., Silva, L., Carvalho, M., … Gamboa, H., Andza, K., & Edelman, E. (2023). Cardiovascular Reactivity (CVR) During Repetitive Work in the Presence of Fatigue. Conference: Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. 10.54941/ahfe1002833


Silva, L., Dias, M., Folgado, D., Nunes, M. L., Namburi, P., Anthony, B., Carvalho, D., Carvalho, M., Edelman, E., & Gamboa, H. (2022). Respiratory inductance plethysmography to assess fatigability during repetitive work. Sensors, 22(11):4247.


Mollaei, N., Fujão, C., Silva, L., Rodrigues, J., Cepeda, C., & Gamboa, H. (2022). Human-centered explainable artificial intelligence: Automotive occupational health protection profiles in prevention musculoskeletal symptoms. International Journal of Environmental Research and Public Health, 19(15):9552


Nunes, M. L., Folgado, D., Fujão, C., Silva, L., Rodrigues, J., Matias, P., Barandas, M., Carreiro, A. V., Madeira, S. C., & Gamboa, H. (2022). Posture risk assessment in an automotive assembly line using inertial sensors. IEEE Access, 10:1-1. https://ieeexplore.ieee.org/document/9849655/authors

Dias, A., Redinha, L., Tavares, F., Silva, L., Malaquias, F., & Pezarat-Correia, P. (2021) The effect of a controlled mandible position mouthguard on upper body strength and power in trained rugby athletes-A randomized within subject study. Injury, 53(2): 457-462


Dinis, R., Vaz, J. R., Silva, L., Marta, S., & Pezarat-Correia, P. (2021). Electromyographic and kinematic analysis of females with excessive medial knee displacement in the overhead squat. Apr; 57:102530.




NOVA Research Portal Link

Departamento Física – FCT Link


CiênciaVitae Link

Scopus Link