Name:Gema Bello-Orgaz

Bio:

She is a lecturer in the Department of Computer Systems at the Universidad Politécnica de Madrid (UPM) and holds a PhD in Computer Science from the Universidad Autónoma de Madrid (UAM). She has experience and expertise in the areas of machine learning, social network analysis, evolutionary computation, and the practical applications of these subfields of computer science in research and industry projects.

Her main research interest lies in understanding human interactions in social networks using artificial intelligence techniques, with practical implications that extend to fields such as marketing and the examination of extremism. Moreover, her recent inquiries revolve around exploring machine learning methods to identify stress levels through data collected from smartphones and wearable devices. She has participated as part of the research team in several EU-funded projects, allowing her to develop innovative solutions to significant social and cultural challenges, leading to beneficial outcomes for society.

Country:Spain

Affiliation:Universidad Politécnica de Madrid

Research interests:Machine Learning, Evolutionary Computation, Social Network Analysis, Data Mining