Erkki Oja



Erkki Oja is Professor of Computer Science and Engineering at
Aalto University, School of Science and Technology.
He is Director of the Computational Inference (COIN) Research Centre at Aalto
and Past Chairman of the Research Council for Natural Sciences and
Engineering of the Academy of Finland.






Teaching activities
Course From Data to Knowledge, Period II (autumn)
Course Principles of Pattern Recognition, Period III (spring)
Reception hour: Tuesday, 3 to 4 PM, Room B328, Department of Computer Science and Engineering
Research activities
Neural networks, especially unsupervised learning like PCA, ICA, SOM
Statistical pattern recognition and machine learning
Computer vision and image analysis
Signal and data analysis
Applications of the above on industrial problems
See short biography or current full CV.
Books, journal papers etc.
Subspace Methods of Pattern Recognition, Research Studies Press and J. Wiley, 1983 (out of print)
Kohonen Maps (with S. Kaski), Elsevier Science, 1999
Independent Component Analysis (with A. Hyvarinen and J. Karhunen), J. Wiley, 2001
Here is a list of my published journal and conference papers
Some old papers, not easily available, can be downloaded here .
Recent invited plenary talks
ISNN, Chengdu, China, May 2006
IJCNN, Vancouver, Canada, July 2006
MLSP, Thessaloniki, Greece, August 2007
ICANN, Limassol, Cyprus, September 2009
Memberships in scientific organizations
IEEE: Fellow
IAPR (International Association of Pattern Recognition): Founding Fellow
ENNS (European Neural Networks Society): Past President
INNS (International Neural Networks Society): Fellow
Finnish Academy of Sciences and Letters, Member
Finnish Pattern Recognition Society, Past Chairman
Academiae Europaeae, member
Editorial Boards of journals
IEEE Transactions on Neural Networks, until 2000
Neural Computation
Pattern Recognition Letters
International Journal of Pattern Recognition and Artificial Intelligence
Neural Networks, until 1995
etc.
Conference Committees
IJCNN, ICANN, ICA-BSS, NIPS, etc.


Local links:

The Independent Component Analysis research group

The FastICA MATLAB Package

The Macadamia Master's Programme in Machine Learning and Data Mining


Address: room B328, Department of Information and Computer Science
Computer Science building, Konemiehentie 2, Otaniemi campus
Mail address: P.O. Box 15400, 00076 Aalto, Finland

Tel. +358-9-47023265
Portable +358-400-817275
Fax. +358-9-47023277
Email Erkki.Oja@hut.fi