Fasli, Maria

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Maria Fasli received the B.Sc. degree in informatics from the Technological Educational Institute of Thessaloniki, in 1996, and the Ph.D. degree in computer science from the University of Essex, in 2000, where she is currently a Professor of computer science (artificial intelligence) and the Director of the Institute for Analytics and Data Science (IADS). She has been holding research and academic positions at the University of Essex, since 1999, where she became a Professor, in 2012, and was the Head of the School of Computer Science and Electronic Engineering, from 2009 to 2014. In 2014, she was appointed as the Director of IADS. Her research interests include artificial intelligence techniques for analyzing and modeling complex systems and structured and unstructured data in various domains. In 2016, she was awarded the First UNESCO Chair in analytics and data science. Her research has been funded by National Research Councils in the U.K., Innovate UK as well as businesses. (Ref.: IEEE Xplore)

Professor Maria Fasli:

“We need to break down silos to solve real problems and harness the power of data and computational technologies for the benefit of all. The cornerstone of the Chair’s work is that data and the data revolution should be all about people. Being able to to work with people from diverse disciplinary, cultural, economic, racial, national and educational backgrounds who can challenge me and drive my thinking in new directions has been an incredibly enriching experience as a person and academic.”.

More informations on the university website

In Siliconrepublic.com, 14 apr. 2021:

“Often machine learning algorithms operate as black boxes, and instead of just accepting the outcome of an algorithm, we need to be able to enquire as to how and why the specific outcome was derived and have more explainable and interpretable algorithms that can be interrogated,” said Fasli.

“The public will also need to be educated to understand the digital trail that they leave behind and how this may be used in decision making by organisations and may be affecting their everyday lives in far more profound ways than they currently understand.”

(Ver. PBe 06-2022)


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