Internal Cycle of Seminars at IMEDEA (CISI) consist on a cycle of seminar presentations given mainly by doctoral students, masters and junior postdocs, although it is not closed to other staff, such as visitors and staff, that take place every Friday from 4:00 p.m. to 4:30 p.m in the seminar room os IMEDEA.

This represents a great opportunity to learn more about the research carried out at the Institute and to bring those with less experience , the chance of increasing their presentation and public speaking skills. Afterwards, there will be soft drinks and beers for all attendees 😉 We strongly encourage you to participate. Join us!

Do you want to participate with a presentation? Please contact the organising team:

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Featured Seminars
Internal Cycle of Seminars IMEDEA - Amaya Álvarez- «Deep Learning inside the fish market»
  Abstract In this presentation, we will explore the various tasks undertaken by the Fish Ecology Lab at the Palma Fish Market since 2018. Our focus lies in automating the processes employed for extracting fish length measurements. The dynamic distribution of fish lengths plays a crucial role, not only in making informed short-term operational decisions within a fishery co-management framework but also in providing input for traditional fishery models that illuminate mid- and long-term trends in exploited stocks. Traditionally, the estimation of fish length in most fisheries has been a manual endeavor, resulting in precise measurements at the individual fish level. However, due to the high cost and inefficiency associated with supervised sampling, the sample size tends to be limited. Consequently, the precision of population-level estimates often falls short, and biases may arise, especially when adequately stratified sampling programs are economically unfeasible. Conversely, the application of machine learning and artificial intelligence in fisheries science presents a promising avenue for large-scale, unbiased sampling of fish catches. The Fish Ecology Lab has been working with the daily images recived from the auction of the fish market to extract information on various commercial species such as hake, dolphinfish, and red shrimp. This presentation will specifically focus into the deep learning techniques employed for each of these cases.  

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Internal Cycle of Seminars IMEDEA - Perrine Bauchot - «Deep learning for the reconstruction of oceanic currents from multi-platform observations» - NEXT SEMINAR



While the ocean covers up to 70% of the Earth's surface, only 10% of the ocean is considered as explored. Nonetheless, it plays an active role in the climate regulation through the interaction of oceanic processes of multiple spatial-temporal scales, which must be monitored. From satellites to Argo floats, diverse observing platforms have arisen over the last decades, which fostered operational oceanography advances. However, these observations aren’t enough compared to the immensity of the ocean.

Nowadays, computational resources enable us to explore deep learning techniques to optimise the information retrieved by each observation but also to optimise the acquisition of these data in an integrated approach. In a theoretical framework and with simulated observations, we explore how deep learning can enhance the assimilation of data for the reconstruction of sea surface velocities.

We also assess how the combine use of satellite and in situ data can lead to an overall better reconstruction of the sea surface velocity field on a 10°x10° region along the main meander of the Gulf Stream in the Atlantic Ocean. Finally, we propose an innovative sampling strategy to improve the quantification of kinetic energy exchanges of eddies and filaments generated in this area of study.

Link to the video here