AI-powered Forecast for Harmful Algal Blooms


Research Project: 2021-06-01 - 2024-06-30
Total sum awarded: €1 285 295

AIHABs is a multidisciplinary innovative initiative aimed at developing an integrated evaluation system to forecast the risk derived from thepresence of emerging cyanotoxins in inland and coastal ecosystems. The innovation of this proposal resides at merging tools as lastgeneration Artificial Intelligence (AI), remote sensing, nanosensors, hydrodynamic modelling and massive genetic sequencing with the jointpurpose of providing an early warning system to decision making authorities in terms of risk to the population. The predicting modellingeffort will allow a timely action to minimize the risks of consuming surface waters or using them as recreational resources when thewaterbodies are prone to produce toxic cyanobacterial blooms.

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  • Ahmed Nasr, Technological University Dublin, Ireland (Coordinator)
  • Jakub Brom, University of South Bohemia in České Budějovice, Czech Republic (Partner)
  • Mohammadmehdi Saberioon, Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Germany (Partner)
  • Marcos Xosé Álvarez Cid, Norwegian University of Science and Technology, Norway (Partner)
  • Begoña Espiña, International Iberian Nanotechnology Laboratory - INL, Portugal (Partner)
  • Antonio Quesada, Universidad Autónoma de Madrid, Spain (Partner)
  • Fernando Cobo Gradín, University of Santiago de Compostela, Spain (Partner)