Proud to witness the PhD defence of Andres Molares today: "Machine Learning in Harmful Algal Bloom Monitoring", developed at @citicresearch.bsky.social at @udc.gal . Co-supervised with my colleague Daniel Rivero, a work that combines applied AI with environmental challenges. Congrats, Dr. Molares!

Our work "Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring" is available. If you're into #DeepLearning for healthcare or biomedical signal analysis, check it out! 🔗 doi.org/10.1007/s110...

Interesting publication about Julia 1.12 lwn.net/Articles/100...

📢 New publication! Proud of our student Andrés Molares Ulloa, lead author of "Towards improved harmful algal bloom forecasts". With his third JCR paper, he is close to completing his PhD! 📄 doi.org/10.1016/j.co... 🔓 Free: authors.elsevier.com/c/1kf-3cFCSf... #PhD #Research #AI #HarmfulAlgalBlooms

A recently accepted publication Carreres-Prieto, et. al. Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods. Environ Sci Pollut Res 31, (2024). lnkd.in/ddVUgF9u #FIC #RNASA-IMEDIR