Environmental and Industrial Machine Learning Group
The Environmental and Industrial Machine Learning (EIML) research group belongs to
the Department of Information and Computer Science at the Aalto University School of Science,
The EIML group continues the work of the former Time Series Prediction and Chemoinformatics as well
as Adaptive Informatics Applications groups, and is developing new machine learning techniques:
- For modeling environment using for example time series prediction, variable selection and
- For solving solve various industrial problems. We have considered parctical data sets and problems
in chemometrics, electricity production and distribution, bankruptcy prediction, and information
The head of the group is Prof. Juha Karhunen. The EIML group has been created and its practical
research efforts are led by Dr. Amaury Lendasse, who is Docent and Senior lecturer.
The Industrial Machine Learning part is under the responsibility of Dr. Francesco Corona, Docent.
Physically, the group is located in Otaniemi, Espoo, Finland, in the Computer Science and Engineering
(CSE) building of Aalto University. The address of the CSE building is Konemiehentie 2C, 02150 Espoo,
Finland. The mail address is P.O. Box 15400, 00076 Aalto, Espoo, Finland. The email addresses
of the group members are of the form: firstname.lastname@example.org .
Alumni (Doctors, Postdocs)
Visitors and Former Students
- T-61.5010 Information Visualization, Spring 2013.
- T-61.5130 Machine Learning and Neural Networks, Autumn 2013.
- T-61.3040 Statistical Signal Modeling, Autumn 2013
- T-61.9910 Machine Learning for Corporate Finance, Autumn 2011
- T-61.6010 Evolving Intelligent Systems, Methodology and Applications, Autumn 2010
- T-61.6010 Hilbert-Huang Transform and its Applications, Autumn 2009
- T-61.6020 Bankruptcy Prediction, Autumn 2009
- T-61.6010 High Dimensional Data Analysis, Autumn 2008
- Automaqua: Automation technologies for wastewater treatment plants in the era of data explosion
- BONUS+ ERA-Net Project AMBER: Assessment and Modelling of Baltic Ecosystem Response
- FP7-PEOPLE IEF: Developing Nonlinear Tools for Environmental Modeling and Chemoinformatics
- CHESS: Developing chemometrics with the tools of information technology