Daniel is a researcher engineer in the Nanofabrication for Optoelectronic Applications group at INL where his research is focused on computer vision and machine learning sector for energy applications.

In 2018, obtained a Master degree in Electronics and Computer Engineering from the IPCA, Portugal. Daniel is also a Guest Assistant Professor at Polytechnic Institute of Cávado and Ave (IPCA), Portugal. He is a PhD student at University of Minho where his work is focused on the development of an “Intelligent system of identification and combination of clothing to blind people”.

• Rocha, D., Carvalho, V., Gonçalves, J., et al.
  Development of an automatic combination system of clothing parts for blind people
  MyEyes. Sens. Transducers 219, 26–33 (2018)

• Rocha, D., Carvalho, V., Soares, F., Oliveira, E.
  Extracting clothing features for blind people using image processing and machine learning techniques: first insights
  In: Tavares, J.M.R.S., Natal Jorge, R.M. (eds.) VipIMAGE 2019. LNCVB, vol. 34, pp. 411–418. Springer, Cham (2019).

• Rocha, D., Carvalho, V., Soares, F., Oliveira, E.
  Design of a smart mechatronic system to combine garments for blind people: first insights
  In: Garcia, N.M., Pires, I.M., Goleva, R. (eds.) HealthyIoT 2019. LNICSSITE, vol. 314, pp. 52–63. Springer, Cham (2020).

• Rocha, D., Carvalho, V., Soares, F., Oliveira, E.
  A model approach for an automatic clothing combination system for blind people
  In: Brooks, E.I., Brooks, A., Sylla, C., Møller, A.K. (eds.) DLI 2020. LNICSSITE, vol. 366, pp. 74–85. Springer, Cham (2021)

• Rocha, D., Carvalho, V., Soares, F., Oliveira, E., & Leão, C. P. (2022)
  Understand the Importance of Garments’ Identification and Combination to Blind People
  In T. Ahram & R. Taiar (Eds.), Human Interaction, Emerging Technologies and Future Systems V (pp. 74–81). Springer International Publishing