Richard Petersens Plads
Building: 321, 015
2800 Kgs. Lyngby
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 Professor of Computer Science and Complexity (as of January 1st 2016) at Department of Applied Mathematics and Computer Science, DTU. Jan Larsen has authored and co-authored more than 150 papers and book chapters within the areas of machine learning, signal processing, and cognitive systems with application to audio, multimedia, sensor data, monitoring, biomedical, data/web-mining, and pattern recognition. According to Google Scholar, Jan Larsen’s research impact is as of December 5, 2016 summarized as follows: 3723 citations, h-index equal to 32, and i-10 index equal to 78.
He has participated in more than ten national and international research and innovations programs and has served as reviewer for many international journals, conferences, publishing companies and research funding organizations. Currently he coordinates the strategic the research project CoSound (2012-2016) and participate as principal investigator in four other research projects.
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) 1999-2015 and as Technical Program Chair of the European Signal Processing Conference (EUSIPCO 2010). He is director of the Danish Sound Innovation Network (2009-), 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://people.compute.dtu.dk/janla
|13.0 - 15.0||Course in Teaching and Learning - Technical University of Denmark|
|2008 - 2008||SVUD - New Faculty Supervisor Education - Technical University of Denmark|
|01.0 - 31.0||M.Sc. Electical Engineering - Technical University of Denmark|
|1989 - 1993||Ph.D. - Technical University of Denmark|
|01.1 - 31.0||PhD Student - Technical University of Denmark, Electronics Institute|
|01.0 - 28.0||Research Scientist - Technical University of Denmark, Electronics Institute|
|01.0 - 31.1||PostDoc - Technical University of Denmark, Electronics Institute|
|01.0 - 31.1||Assistant Professor - Technical University of Denmark, Electronics Institute|
|01.0 - 31.1||Assistant Research Professor - Technical University of Denmark, Electronics Institute|
|01.0 - 31.1||Assistant Professor - Technical University of Denmark, Department of Mathematical Modelling|
|01.0 - 31.1||Associate Professor - Technical University of Denmark, Department of Applied Mathematics and Computer Science|
|01.0 -||Professor - Technical University of Denmark, Department of Applied Mathematics and Computer Science|
Research in machine learning, signal processing, and cognitive systems for applications in audio, multimedia, sensor data, monitoring, biomedical, data/web-mining, and pattern recognition. Lecturer in undergraduate courses on statistical signal processing, machine learning, and audio information processing. Lecturer in graduate courses on advanced machine learning. Supervision and co-supervision of 32 Ph.D. students. Supervisíon and co-supervision of 82 M.Sc. thesis projects. Supervision of numerous bachelor thesis and independent course students.
Numerous international academic and enterprise/organization relations have been acquired through: 1) partners in internal scientific project collaboration - in particular CoSound, CRIM-TRACK, MUSE, Xsense, ISOUND, PASCAL/PASCAL2, AE-WATT, MAPAWAMO, which i.a. includes Queen Mary University London, Glasgow University, Hariott-Watt University, UCL, and KU Leuven; 2) participation in IEEE Signal Processing Society technical committees - particularly the Machine Leaning for Signal Processing Technical Committee (1996-); 3) international conference organizations; 4) participation in international PhD and research project review committees; and 5) the Danish Sound Innovation Network (international activities in Belgium, Brazil, China, Germany, South Korea, and USA.
Most recent research projects involves private enterprises, organization, and stake-holders in order to facilitate knowledge dissemination and innovation. This includes strategic research projects such as CoSound, MUSE, and XSense, as well as Industrial PhD projects with private companies. In addition, more than 60\% of master and bachelor projects are carried out in collaboration with problem-holders. A special innovation contribution is carried out as director of the Danish Sound Innovation Network (2009-). Danish Sound is part of the national innovation infrastructure under Innovation Networks Denmark supported by The Danish Agency for Science, Technology and Innovation.
- E-pub ahead of print
A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy
Publication: Research - peer-review › Article in proceedings – Annual report year: 2017
Publication: Research › Ph.D. thesis – Annual report year: 2016
Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping
Publication: Research - peer-review › Journal article – Annual report year: 2016
Activity: Other › Other (prizes, external teaching and other activities) - External teaching and subject coordination
ISSNs: 0277-786X, 1605-7422, 0361-0748
Additional searchable ISSN (Electronic): 1042-4687
S P I E - International Society for Optical Engineering, United States
BFI (2017): BFI-level 1, Scopus rating (2015): SJR 0.187 SNIP 0.163, ISI indexed (2013): ISI indexed no
Additional searchable ISSN (Electronic): 1939-8115
Springer New York LLC, United States
BFI (2017): BFI-level 1, Scopus rating (2015): SJR 0.262 SNIP 0.681, ISI indexed (2013): ISI indexed yes
Additional searchable ISSN (Electronic): 1558-0792
I E E E, United States
BFI (2017): BFI-level 2, Scopus rating (2015): SJR 3.413 SNIP 6.204, ISI indexed (2013): ISI indexed yes