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Andreas Jakobsson

Professor of Mathematical Statistics

Andreas Jakobsson received his M.Sc. from Lund Institute of Technology (LTH) and his Ph.D. in Signal Processing from Uppsala University, respectively. Since, he has held positions with Global IP Sound AB, the Swedish Royal Institute of Technology, King's College London, and Karlstad University, as well as been an Honorary Research Fellow at Cardiff University and a visiting professor at Harbin Engineering University. He has been a visiting researcher at King's College London, Brigham Young University, Stanford University, Katholieke Universiteit Leuven, and University of California, San Diego, as well as acted as an expert for the IAEA. He is a member of The Royal Swedish Physiographic Society, a Senior Member of IEEE, as well as an Associate Editor for Elsevier Signal Processing. He has previously also been a member of board of Karlstad University, the IEEE Sensor Array and Multichannel (SAM) Signal Processing Technical Committee, the EURASIP Technical Area Committee on Signal Processing for Multisensor Systems, and been a Senior Associate Editor for IEEE Transactions on Signal Processing, and an Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Signal Processing Letters, the Research Letters in Signal Processing, and the Journal of Electrical and Computer Engineering. He is a member of LTH's pedagogic academy and a board member of the Centre for Engineering Education at LTH. He received the 2019 annual best teacher award by the students at LTH, and the 2021 best teacher award from the Industrial Engineering and Management students. He is the founder of Babblecat AB and co-founder of Medotemic AB, VoiceDiagnostic Sweden AB, and Polar Mist Technologies AB. 

His research interests include statistical and array signal processing, machine learning, detection and estimation theory, and related application in, for example, remote sensing, telecommunication, spectroscopy, and biomedicine.

Dr Jakobsson does not offer any internships.

Centre for Mathematical Sciences
Mathematical Statistics
Lund University, Box 118
SE-221 00 Lund, Sweden

Office:  MH 217
Tel:   +46 46 222 4520
Fax:  +46 46 222 4623
Mob: +46 73 093 9696

Email: aj@maths.lth.se

Sidansvarig:  | 2022-01-31