At CAP we perform R&D in applied photonics, principally focusing on optical fibre technology.
We are oriented towards applied research and development in optical fibre sources, optical fibre communication, optical fibre sensors and microfabrication (thin films and integrated optics).
Our group is always looking for opportunities for technology transfer to industrial companies using its specific competencies in optoelectronics and systems integration.
The SpecTOM project (partnership between INESC TEC and U.Porto) was one of the winners of BIP PROOF 20/21, obtaining €10K of financial support for a proof of concept.
29th March 2021
During the months of October and November, Paulo Robalinho and André Gomes, researchers at INESC TEC’s Centre for Applied Photonics (CAP), published two articles in scientific journals, for the dissemination of two world records obtained in the optical deformation sensing and refractive index, using the Vernier effect.
10th November 2020
The work presented by Diana Capela, researcher at INESC TEC’s Centre for Applied Photonics (CAP), was awarded at PHYSICS 2020 – 22nd National Physics Conference and 30th Iberian Meeting for the Teaching of Physics, which took place between September 2 and 5, at the Institute of Education of the University of Lisbon. The participants attended the event in person and via Zoom.
22nd September 2020
ILoF – Intelligent on Fiber, a spin-off from the University of Porto, established in INESC TEC and currently incubated at the Faculty of Medicine (FMUP), is among the 150 most promising start-ups in the field of digital health worldwide, according to a list provided by CB Insights, a North American company specialised in business analysis.
31st August 2020
A group of researchers from INESC TEC's Centre for Applied Photonics (CAP), Centre for Biomedical Engineering Research (C-BER) and Centre for Innovation Technology and Entrepreneurship (CITE), together with the spin-off iLoF, is studying the implementation of a quick and low-cost tool based on personalised medicine, in order to predict the evolution of Covid-19 viral infection in patients.
11th May 2020
Coordinator
+351220402301
paulo.v.marques@inesctec.pt
Coordinator
+351220402301
ireneu.dias@inesctec.pt
