Photo of Fredrik Gustafsson

Fredrik Gustafsson


My research interests are in stochastic signal processing, adaptive filtering and change detection, with applications to communication, vehicular, airborne, audio and wildlife applications.

Professor in Sensor Informatics

Fredrik Gustafsson is professor in Sensor Informatics at Department of Electrical Engineering, Linköping University, since 2005.

He received the M.Sc. degree in electrical engineering 1988 and the Ph.D. degree in Automatic Control, 1992, both from Linköping University. During 1992-1999 he held various positions in automatic control, and 1999-2005 he was professor in Communication Systems.

Short texts


He was an associate editor for;

  • IEEE Transactions of Signal Processing 2000-2006
  • Journal on Observations and Navigation 2008-2011
  • EURASIP Journal on Applied Signal Processing 2009-2012
  • IEEE Transactions on Aerospace and Electronic Systems 2010-2012
  • He was head of the Signal and Systems review panel for the Swedish Research Council (VR) 2009, 2011 and 2012


  • Distinguished Professor (rådsprofessor) awarded from the Swedish Research Council 2015-2024
  • IEEE Fellow (2011)
  • Elected member of the Royal Academy of Engineering Sciences (IVA) 2007


  • Arnberg prize 2004 from the Royal Swedish Academy of Science (KVA)
  • SAAB award in the name of former CEO Åke Svensson 2011
  • Entrepreneurial researcher of the year at Linköping University, 2012
  • Harry Rowe Mimno Best Paper Award 2011 for the tutorial "Particle Filter Theory and Practice with Positioning Applications", which was published in the IEEE AESS Magazine in July 2010
  • Automatica Best Paper Award 2012 for the paper ``Smoothed state estimates under abrupt changes using sum-of-norms regularization'', co-authored with H. Ohlsson, L. Ljung and S. Boyd



Zainab Saleem, Fredrik Gustafsson, Eoghan Furey, Marion McAfee, Saif Huq (2024) A review of external sensors for human detection in a human robot collaborative environment Journal of Intelligent Manufacturing Continue to DOI
Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson (2024) Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification IEEE Signal Processing Letters, Vol. 31, p. 376-380 Continue to DOI


Jakob Åslund, Fredrik Gustafsson, Gustaf Hendeby (2023) When Does the Marginalized Particle Filter Degenerate? 2023 26th International Conference on Information Fusion (FUSION) Continue to DOI
Peng Liu, Kailai Li, Gustaf Hendeby, Fredrik Gustafsson (2023) Weighted Total Least Squares for Quadratic Errors-in-Variables Regression Proceedings of the 31st Conference on European Signal Processing, p. 1894-1897
Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby (2023) Using Received Power in Microphone Arrays to Estimate Direction of Arrival ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Continue to DOI



Rhino looking into camera.

21 July 2021

Smart cameras for conservation biology

Machine learning and smart cameras will be used to make it easier to monitor the large animals in African nature reserves. The technology has been developed by scientists and students at Linköping University.

Rhinos grazing.

01 June 2021

Technology to stop poaching

The black market in rhinoceros horn is worth billions of dollars, and poaching is driving the species towards extinction. However, the drive against poaching is now to be given new impetus with the aid of the most recent technology.

Fredrik Gustafsson and Toomas Timpka looks into the camera.

28 December 2020

Researchers critical to flawed Covid-19-models

Reports from Imperial College regarding the spread and the effects of Covid-19 had considerable policy impacts in several European countries. But the models that informed the reports have considerable flaws, according to LiU-researchers.

Co-workers at Automatic control