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About

About

Susana Silva is graduated in Applied Physics from the University of Porto, Portugal. She received the Ph.D. degree in Physics at the University of Porto, Portugal, on optical fiber sensors for refractive index and gas sensing. She is currently an R&D Researcher at the Center for Applied Photonics at INESC TEC. In the last few years, S. Silva has published more than 50 papers in international journals. S. Silva received the prize for best PhD Theses in Optics and Photonics of 2013. Her field of expertise is the fabrication of optical fiber sensors for monitoring of physical parameters. Her current research interests are optical sensors for biomedical applications and distributed fiber optic sensing for biodiversity applications.

Interest
Topics
Details

Details

  • Name

    Susana Oliveira Silva
  • Role

    Assistant Researcher
  • Since

    01st March 2005
  • Nationality

    Portugal
  • Centre

    Applied Photonics
  • Contacts

    +351220402301
    susana.o.silva@inesctec.pt
009
Publications

2025

Online monitoring of electric transmission lines using an optical ground wire with Distributed Acoustic Sensing

Authors
Silva, S; Nunes, GD; da Silva, JP; Meireles, A; Bidarra, D; Moreira, J; Novais, S; Dias, I; Sousa, R; Frazao, O;

Publication
29TH INTERNATIONAL CONFERENCE ON OPTICAL FIBER SENSORS

Abstract
In this study, we demonstrate the measurement of electric power using an optical ground wire ( OPGW). The tests were conducted on an OPGW cable from a high-voltage transmission line in Sines, Portugal, operating at 400 kV. A buried fiber position, free of 50 Hz and 100 Hz frequency interference, was selected to confirm that the 50 Hz frequency is not due to mechanical perturbation or electronic noise. Additionally, two suspended fiber positions (at 2500 m and 8500 m), where these frequencies were clearly observed, were analyzed. This study also examined the positioning of poles and splice detection between cables.

2025

High-Birefringence and Quarter-Wave Plates at 1550 nm Using Azopolymers

Authors
Soares, B; Silva, S; Ribeiro, P; Frazao, O;

Publication
IEEE PHOTONICS TECHNOLOGY LETTERS

Abstract
Azobenzenes are a class of compounds which allow the writing and erasure of linear birefringence along any desired direction, through their ability to photoisomerize. This property enables applications requiring polarization control, which, despite extensive exploration in the visible spectrum, have yet to be fully capitalized in the infrared region. This study aims to systematically characterize the creation and relaxation of induced linear birefringence dynamics in azopolymers thin films for the 1550 nm region. Maximum birefringence values as high as 6.02 x 10(-2) were attained during the recording phase with a 445 nm pump laser, that stabilized at 5.40 x 10(-2) during the relaxation phase, achieved for a 2.4 mu m sample. In addition, a maximum phase shift of Delta Phi = 0.54 pi stabilizing at Delta Phi = 0.50 pi, was observed for a 9.7 mu m sample with a 532 nm writing laser. Accordingly, this shows the promising potential of azopolymers for many applications.

2024

Environmental Monitoring of Submarine Cable in Madeira Island

Authors
Cunha, C; Monteiro, C; Martins, HF; Silva, S; Frazao, O;

Publication
EOS ANNUAL MEETING, EOSAM 2024

Abstract
Distributed acoustic sensing (DAS) is a sensing technique that allows continuous data acquisition of strain rate and temperature with exceptional spatial resolution, up to few meters, for extensive lengths up to 100 km. The ubiquitous nature of optical fiber cables rendered DAS an appealing alternative for geophysical sensing, allowing cost-effective data collection with extensive spatial coverage leveraging existing infrastructure. This study presents findings from the deployment of a DAS system on a dark fiber located on the Madeira Island, Portugal. Through the implementation of 2D filtering, simultaneous analysis of data from road traffic, ocean waves, and seismic activity was achieved.

2024

Glucose concentration detection using a low-cost Raman Spectroscopy Kit

Authors
Cunha, C; Silva, S; Frazao, O; Novais, S;

Publication
EOS ANNUAL MEETING, EOSAM 2024

Abstract
Raman technology offers a cutting-edge approach to measuring glucose solutions, providing precise and non-invasive analysis. By probing the vibrational energy levels of molecular bonds, Raman technology generates a unique spectral fingerprint that allows for the accurate determination of glucose concentrations. This study proposes the use of Raman spectroscopy to identify different glucose concentrations through the detection of Raman fingerprints. As expected, higher concentrations of glucose in the solution conducted to higher peak bands, indicating more glucose molecules interacting with light and consequently increasing the magnitude of inelastic scattering. This non-destructive approach preserves sample integrity and facilitates rapid analysis, making it suitable for various applications in biomedical research, pharmaceutical development, and food science.

2024

Low Coherence Interferometry Measurement: An Algorithm for fast processing with low noise and phase linearisation

Authors
Robalinho, P; Rodrigues, A; Novais, S; Ribeiro, ABL; Silva, S; Frazao, O;

Publication
EOS ANNUAL MEETING, EOSAM 2024

Abstract
This work proposes a signal processing algorithm to analyse the optical signal from a Low Coherence Interferometric (LCI) system. The system uses a Mach-Zehnder (MZ) interferometer to interrogate a Fabry-Perot cavity, working as an optical sensor. This algorithm is based on the correlation and convolution operations, which allows the signal to be reconstructed based on itself, as well as, on the linearization of the signal phase, allowing the non-linearities of the actuator incorporated on the MZ interferometer to be compensated. The results show a noise reduction of 30 dB in the signal acquired. As a result, a reduction of 8.2 dB in the uncertainty of the measurement of the physical measurand is achieved. It is also demonstrated that the phase linearization made it possible to obtain a coefficient of determination (namely, R-squared) higher than 0.999.