Welcome to my personal webpage!

I am an Assistant Professor (Lecturer) in Management Science at LUMS - the Lancaster University Management School, a triple-accredited, world-ranked management school, consistently ranked among the UK's top five.

I also serve as the deputy director of the Lancaster Centre for Forecasting, one of the largest research units in Europe dedicated to time series, where I lead a team of 6 PhD students and 1 post-doc research assistant, with the support of 2 software developers.

My team's research focuses on forecasting & time series prediction for logistics, supply chain management and demand planning, regularly employing methods of computational intelligence such as artificial neural networks and support vector machines and statistics.

I hope you find these pages informative ... ! Sven

Recent Research Papers

	"Advances in Forecasting with Neural Networks? Empirical evidence from the NN3 competition on time series prediction" has been published in the International Journal of Forecasting (3*ABS rank)
	"Instance sampling in credit scoring: an analysis of sample size and sample distribution for predicting consumer repayment behaviour" is in print by the International Journal of Forecasting (3*ABS rank)

Recent Keynote Speeches

	SAS F2010 Business Forecasting, Cary, USA June 2010
	SAS A2006 Analytics, Copenhagen, denmark September 2010

Recent Awards

My PhD thesis won the
- 2008 biannual Prof. Herbert Jacob award of Hamburg University, and
- 2009 award of the German Operational Research society.

My team at the research centre offers a wide range of company support, from in-house workshops to ongoing mentoring schemes and consultancy projects on forecasting and data mining.

Recent corporate projects include (select.)

We are running multiple projects in forecasting for inventory management in logistics and supply chain management of conventional and intermittent demand.

Research collaborations are welcome.

Are you interested in pursuing a PhD in the areas of forecasting, data mining and / or predictive intelligence in corporate business? Or in theoretical research or applications of regression, classification or clustering with computational intelligence on time series data?

Then please apply for a PhD by March 2012. We regularly have fully funded and partially funded PhD positions for UK-, EU- and international students available, as well as self-funded PhD positions! You will have the opportunity of obtaining additional funding by working on corporate research projects.

For information on neural networks in forecasting please consult the Information Portal on Forecasting with Neural Networks or on the current Forecasting Competition which I host.

Previous and current employers:	Research Centres: