Skip to main content
Department of Information Technology

Thomas Schön

Professor at Department of Information Technology, Division of Systems and Control

Email:
thomas.schon[AT-sign]it.uu.se
Telephone:
+4618-471 2594
Mobile phone:
+46 73 5933887
Visiting address:
Room POL ITC 2209 ITC, Lägerhyddsv. 2, hus 2
752 37 UPPSALA
Postal address:
Box 337
751 05 UPPSALA

Short presentation

Thomas B. Schön is the Beijer Professor of Artificial Intelligence at the Department of Information Technology at Uppsala University and currently heads the five-year project AI4Research. He received his PhD degree in Automatic Control in Feb. 2006 from Linköping University, and has held visiting positions with the University of Cambridge (UK), the University of Newcastle (Australia) and Universidad Técnica Federico Santa María (Valparaíso, Chile)

Keywords: artificial intelligence machine learning automatic control deep learning signal processing computer vision data analytics decision-making with algorithms artificiell intelligens maskininlärning ai4research reglerteknik signalbehandling datorseende

Thomas B. Schön is the Beijer Professor of Artificial Intelligence at the Department of Information Technology at Uppsala University and currently heads the five-year project AI4Research. He received his PhD degree in Automatic Control in Feb. 2006, his MSc degree in Applied Physics and Electrical Engineering in Sep. 2001, his BSc degree in Business Administration and Economics in Jan. 2001, all from Linköping University. He has held visiting positions with the University of Cambridge (UK), the University of Newcastle (Australia) and Universidad Técnica Federico Santa María (Valparaíso, Chile). In 2018, he was elected to The Royal Swedish Academy of Engineering Sciences (IVA) and The Royal Society of Sciences in Uppsala. He received the Tage Erlander prize for natural sciences and technology in 2017 and the Arnberg prize in 2016, both awarded by the Royal Swedish Academy of Sciences (KVA). He was awarded the Automatica Best Paper Prize in 2014, and in 2013 he received the best PhD thesis award by The European Association for Signal Processing. He received the best teacher award at the Institute of Technology, Linköping University in 2009. He is a Senior member of the IEEE and a fellow of the ELLIS society.

Schön has a broad interest in developing new algorithms and mathematical models capable of learning and acting based on data. His main scientific field is Machine Learning, but he also regularly publishes in other fields such as statistics, automatic control, signal processing and computer vision. He pursues both basic research and applied research, where the latter is typically carried out in collaboration with industry or applied research groups.

See my home page for more information.

Please contact the directory administrator for the organization (department or similar) to correct possible errors in the information.

Thomas Schön