CERENA was proud to be actively involved in the Talent Pass EU Lisbon Event – Plastics in the Circular Economy, which took place at Instituto Superior Técnico on 28 and 29 April.
This month, three CERENA researchers visited three schools in the Lisbon area.
CERENA is a supporting partner of the 4th Eage Conference on Seismic Inversion. The conference will take place in Lisbon, between 6 and 8 October 2026. This conference aims to unite geoscientists, academia, and like-minded professionals, covering topics such as Subsurface Imaging, Seismic Inversion, and Reservoir Characterization. More information here.
From 7th to 10th April, 2026, CRITERIA (Horizon Europe – Marie Skłodowska-Curie Actions Doctoral Networks) team members reunited for their second meeting in Lisbon at Técnico to discuss the latest project updates.
Técnico Open Day, the biggest showcase of science and engineering conducted at Técnico Lisboa, took place on 18th April 2026. CERENA participated with three stands in the Science Fair, three stands for small children, and six visits to our laboratories.
This year, as in previous years, CERENA and DER (Department of Mineral Resources and Energy Engineering) organized the eighth edition of “Science on the holidays” - an activity for high school students to get familiarized with Mining and Energy Resources Engineering during the Easter Holidays. This activity took place between 30th March 2026 and 2nd April 2026.
On 18th March, 2026, Amélia Dionísio participated in “Explica-me como se tivesse 5 anos”, an initiative from Técnico Lisboa that aims to explain complex research themes to curious young minds (primary students).
Our PhD Student, Roberta Lobarinhas, will defend her PhD Thesis, "Assessment of vulnerability of natural stones to high temperatures," on April 10 at 14h30min.
Os investigadores Leonardo Azevedo, Manuel Pereira e João Narciso participam na conferência "Do solo ao solar - Recursos energéticos em Portugal" na Faculdade de Ciências da Universidade Nova de Lisboa, para falar, respetivamente, de deep learning, transição energética e geociência e geofísica na descoberta dos novos recursos energéticos.