Panagiotis Papapetrou Foto: Niklas Björling
Panos Papapetrou. Foto: Niklas Björling

Panagiotis Papapetrou is a Professor at the Department of Computer and Systems Sciences and the leader of the research project Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources (EXTREMUM) at Digital Futures. The purpose of Extremum is to provide a set of novel methods and tools that can achieve good trade-offs between predictive performance and explainability in healthcare applications by using machine learning and artificial intelligence.

The workgroup comprises four core teams

Stockholm University manages the project at Digital Futures, and the workgroup comprises four core teams. From Stockholm University, one Data science team from the Department of Computer and Systems Sciences includes Panagiotis Papapetrou as PI, co-PI Lars Asker, postdoc Ioanna Miliou, and PhD students Zhendong Wang and Luis Quintero, and Research assistant Vasiliki Kougia. From the Department of Law, Stanley Greenstein runs a team.

From KTH is a Decision and Control team with Co-PI Cristian Rojas and a PhD student that will start in September. And finally, there’s a team from RISE for Signal processing with Co-PI Rami Mochaourab and Research assistant Sugandh Sinha.

Read more and watch the video of Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources (EXTREMUM) at Digital Futures website.

Link to the profile of Panagiotis Papapetrou

About Digital Futures

Digital Futures is a cross-disciplinary research centre that explores and develops digital technologies of great societal importance. It was jointly established in 2020 by KTH Royal Institute of Technology, Stockholm University and RISE Research Institutes of Sweden, based on significant long-term support of a Strategic Research Area by the Swedish Government.

Read more about Digital Futures