Dr. Alexei Pozdnoukhov

Position: Lecturer Photograph of Dr. Alexei Pozdnoukhov    
Office: TF12, 3rd Floor, John Hume Building
Telephone: +353 (0) 1 708 6146
Fax: +353 (0) 1 708 6456
email: Alexei.Pozdnoukhov@nuim.ie
Disciplines: Machine Learning, Geocomputation
Research Areas: Sensor networks data processing, remote sensing and computer vision
Other Keywords: kernel methods, semi-supervised learning, novelty detection
Background: Alexei received a Ph.D. in computer science from EPFL, Switzerland, following his research in machine learning methods and computer vision that he carried out at IDIAP Research Institute in Martigny, Switzerland. He then joined the Institute of Geomatics and Analysis of Risk (IGAR), University of Lausanne, where he was developing approaches to apply machine learning techniques for geospatial data analysis.
Research: Alexei is interested in algorithms that can learn from empirical data. He is developing machine learning based approaches to process data streams from geo-referenced sensors, detect unusual events, optimise the monitoring network and make predictions in time and space.
Selected Publications: Kanevski M., Pozdnoukhov A., Timonin V. Machine Learning Algorithms for Geospatial Data. Theory, Applications and Software. 450pp. EPFL press, 2008

Pozdnoukhov A., Purves R.S., Kanevski M. Applying Machine Learning Methods to Avalanche Forecasting. Annals of Glaciology, vol. 49., pp. 107-113, 2008

Pozdnoukhov A., Kanevski M. Multi-Scale Support vector Regression for hot spot detection and modeling. In Stochastic Environmental Research and Risk Assessment (SERRA), DOI 10.1007/s00477-007-0162-x, 14 pp., 2007

Pozdnoukhov A., Bengio S. From Samples to Objects: Invariances in Kernel Methods. Pattern Recognition Letters Journal, Volume 27, Issue 10, pp. 1087-1097. 2007

Pozdnoukhov A., Kanevski M. Monitoring Network Optimisation for Spatial Data Classification Using Support Vector Machines. Int. Journal of Environment and Pollution. Vol.28. 20 pp., 2006
 
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