Diogo Ribeiro Ferreira

Diogo Ribeiro Ferreira is an Associate Professor of Information Systems at Instituto Superior Técnico (IST), part of the University of Lisbon. He is also a researcher at the Institute of Plasmas and Nuclear Fusion (IPFN). His career spans teaching, research, and collaboration with institutions like JET (Joint European Torus) in nuclear fusion.

His research focuses on Data Science, Applied Machine Learning, Deep Learning, and Process Mining, with applications in Nuclear Fusion (plasma diagnostics, disruption prediction) and Information Systems (workflow management, healthcare process analysis). He has taught courses like Data Administration in Information Systems and Data Analysis and Integration since 2003.

His work bridges Computer Science and Physics, particularly in using Graph Neural Networks for plasma modeling and GPU Acceleration for high-performance computing. He has supervised over 20 PhD and MSc students, including André C. Santos and Fernando Szimanski, and co-authored 15+ recent publications in journals like Journal of Plasma Physics and Fusion Engineering and Design.

Scientific Awards:

• 2012 ICGA Journal Award
• Best Paper Award at 9th IEEE International EDOC Conference 2005

Collaborations: Affiliated with JET Contributors and IPFN, focusing on real-time tomography and fusion reactor optimization.