Thomas B. Schön is affiliated with Uppsala University in Sweden. Their research spans multiple fields within computer science and engineering, with a notable focus on artificial intelligence and control systems.
Their scientific contributions include work on the intersection of machine learning and system identification, as well as applications in cardiology and signal processing. Key areas of study include:
Focus topics in their work cover:
Recent papers by Thomas B. Schön include:
Frequent publication venues for this researcher include:
Thomas B. Schön has collaborated extensively with a number of co-authors, including:
In addition to research papers, their work includes book publications. A notable book is "Machine Learning," published in 2022 by Cambridge University Press.
Antônio H. Ribeiro;Antônio H. Ribeiro;Manoel Horta Ribeiro;Gabriella M.M. Paixão;Derick M. Oliveira
T. Schon;F. Gustafsson;P.-J. Nordlund
Thomas B. Schön;Adrian Wills;Brett Ninness
Jeroen D. Hol;Thomas B. Schon;Fredrik Gustafsson
Manon Kok;Jeroen D. Hol;Thomas B. Schön
Thomas Schön;Fredrik Gustafsson;Per-Johan Nordlund
Adrian Wills;Thomas B. SchöN;Lennart Ljung;Brett Ninness
Fredrik Lindsten;Michael I. Jordan;Thomas B. Schön
Fredrik K. Gustafsson;Martin Danelljan;Thomas B. Schon
Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg
R. Karlsson;T. Schon;F. Gustafsson
Manon Kok;Jeroen D. Hol;Thomas B. Schon
T. Schön;P. Miotto;C. U. Köser;M. Viveiros
Emilly M. Lima;Antônio H. Ribeiro;Antônio H. Ribeiro;Gabriela M. M. Paixão;Manoel Horta Ribeiro
Manon Kok;Thomas B. Schön
Xiao-Li Hu;T.B. Schon;L. Ljung
Jeroen D. Hol;Fred Dijkstra;Henk Luinge;Thomas B. Schon
Fredrik Lindsten;Thomas B. Schön
Lennart Ljung;Carl Andersson;Koen Tiels;Thomas B. Schön
Niklas Wahlström;Thomas B. Schön;Marc Peter Deisenroth
Juozas Vaicenavicius;David Widmann;Carl R. Andersson;Fredrik Lindsten
Manon Kok;Jeroen D. Hol;Thomas B. Schön
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens up exciting career pathways in a fast-evolving technology landscape. Many students are now exploring online degree programs for greater flexibility, affordability, and access to top-tier institutions. For those interested in sustainable technology and problem-solving, an environmental engineering degrees online program can be a valuable complement to core computer science skills.
Others seek programs that combine technical depth with practical application. If cost is a primary concern, a cheapest mechanical engineering degree online option can provide engineering expertise without a large financial burden. For students drawn to the fundamentals of computational theory and scientific problem-solving, an online theoretical physics degree can lay the groundwork for interdisciplinary careers.
With the rise of big data and analytics, a data science degree is now a top choice for computer science graduates aiming to specialize in AI, machine learning, and quantitative analysis. Exploring these related online degrees can unlock new opportunities and career directions in today’s digital world.
Research Center Borstel - Leibniz-Center for Medicine and Biosciences
Publications: 15
Pohang University of Science and Technology
Shanghai Jiao Tong University
Imperial College London
Indiana University
University of Tokyo
Delft University of Technology
South China Agricultural University
Boyce Thompson Institute
University of Illinois at Urbana-Champaign
Deakin University
Jiangsu University
University of Basel
Nanjing Medical University
Charité - University Medicine Berlin
Brigham and Women's Hospital
University of California, San Diego