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The importance of explainable methods in artificial intelligence models, real use cases and ethical issues.

Ismael Gomez Talal

Ismael Gomez Talal

Ismael Gómez Talal received his B.Sc. degree in Telecommunication Technologies Engineering from Universidad Rey Juan Carlos (URJC) in 2020. He continued his education at the same institution, earning a M.Sc. in Information Systems Engineering in 2021. He went on to complete another degree, in Telematics Engineering, from URJC in 2022. In the same year, he received his M.Sc. in Internet of Things from Universidad Carlos III de Madrid (UC3M). In 2024, he completed his third M.Sc. in Telecommunication Engineering at UC3M and is currently working on his doctoral thesis for the PhD at URJC. His research interests include methods based on Interpretable Machine Learning (IML) and the application of Machine Learning (ML) using real data from the health and hospitality sectors.

SUMMARY OF ACTIVITIES/INTERESTS

  • Supervised and Unsupervised Learning
  • XAI