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| Jan Larsen Associate Professor |
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DTU Compute
Department of Applied Mathematics and Computer Science
Technical University of Denmark
Matematiktorvet
Building 321, room 015
2800 Kgs. Lyngby
Denmark
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Areas of expertise
signal processing
machine learning
nonlinear signal processing
mutimedia
audio
monitor systems
biomedicine
webmining
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Jan Larsen received the M.Sc. and
Ph.D. degrees in electrical engineering from the Technical
University of Denmark (DTU) in 1989 and 1994.
Dr. Larsen is Associate Professor of Digital
Signal Processing at Department of Informatics and Mathematical
Modelling, DTU. Jan Larsen has authored and co-authored more than
125 papers and book chapters within the areas of nonlinear
statistical signal processing, machine learning, neural networks
and datamining with applications to biomedicine, monitoring
systems, multimedia, audio, and webmining. According to Google
Scholar the no. of citations is
2096 and the h-index is 26 as of 27.02.2012.
He has participated in more than ten national and
international research programs, and has served as reviewer for
many international journals, conferences, publishing companies and
research funding organizations.
As regards synergistic activities he took part in
conference organizations, among others the IEEE Workshop on Machine
Learning for Signal Processing (formerly Neural Networks for Signal
Processing) 1999-2012. He is Director of Network for Danish Sound
Technology (2009-2014), past chair of the IEEE Machine Learning for
Signal Processing Technical Committee of the IEEE Signal Processing
Society (2005-2007), and chair of IEEE Denmark Section's Signal
Processing Chapter (2002-). He is a senior member of The Institute
of Electrical and Electronics Engineers. Other professional
committee participation includes: Steering committee member of the
Audio Signal Processing Network in Denmark, 2006-. Editorial Board
Member of Signal Processing, Elsevier, 2006-2007; and guest
editorships involves IEEE Transactions on Neural Networks; Journal
of VLSI Signal Processing Systems; and Neurocomputing.
For a complete CV, see http://www.imm.dtu.dk/~jl |
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CV
Education 1989 -
1993 Technical University of Denmark
[Ph.D.]
1989 -
1993 Technical University of Denmark
[Ph.D.]
1984 -
1989 Technical University of Denmark
[Master of Science in Eletrical Engineering (civilingeniør)]
1984 -
1989 Technical University of Denmark
[Master of Science in Eletrical Engineering (civilingeniør)]
Academic grades Ph.D., M.Sc.E.E.,
Ph.D., M.Sc.E.E. Professional Experience 1998 -
Technical University of Denmark, Informatics and Mathematical Modelling
[Associate Professor]
1998 -
Technical University of Denmark, Informatics and Mathematical Modelling
[Associate Professor]
1996 -
1997 Technical University of Denmark, Department of Mathematical Modelling
[Assistant Professor]
1996 -
1997 Technical University of Denmark, Department of Mathematical Modelling
[Assistant Professor]
1995 -
1995 Technical University of Denmark, Electronics Institute
[Assistant Professor]
1995 -
1995 Technical University of Denmark, Electronics Institute
[Assistant Professor]
1994 -
1994 Technical University of Denmark, Electronics Institute
[Assistant Research Professor]
1994 -
1994 Technical University of Denmark, Electronics Institute
[Assistant Research Professor]
1993 -
1994 Technical University of Denmark, Electronics Institute (CONNECT)
[Post Doctoral Scientist]
1993 -
1994 Technical University of Denmark, Electronics Institute (CONNECT)
[Post Doctoral Scientist]
1992 -
1993 Technical University of Denmark, Electronics Institute (CONNECT)
[Research Scientist]
1992 -
1993 Technical University of Denmark, Electronics Institute (CONNECT)
[Research Scientist]
Languages English (fluent),
English (fluent),
French (basic),
French (basic),
German (practiced),
German (practiced),
Nordic (fluent communication),
Nordic (fluent communication),
Russian (knowledge),
Russian (knowledge) Expertise Research in application of machine learning technologies for signal/image processing, multimedia including audio, monitoring, biomedical, data/web-mining and pattern recognition.
Lecturer in undergraduate courses on statistical signal processing and learning based methods. Lecturer in graduate courses on advanced digital signal processing and medical image processing. Supervision and co-supervision of 24 Ph.D. students. Supervisíon and co-supervision of 50 M.Sc. projects. Supervision of numerous independent course students. International experience Research Program Participation: Paritcipation in more than five international research programs funded by European Commission and NIH
Invited talk and lectures: More than 25 invited lectures at conferences, research departments, companies
Conferences: Pariticpation in 86 national and international conferences, workshops, and meetings on neural network, machine learning and signal processing related topics
Editorial: Member of editiroal borards and guest editorships
Review: Scientfic reviews for numerous international conferences, journals, and research funding organization
Committees: member of internal scientific committes on machine learning and sighnal provessing, pattern recognition and humanitarian deminig. Member of numerous internaltional conference organization committees. Member of international PhD evaluation committees. |
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