Stephan Kudyba (President Null Sigma Inc.)
began his career in the
investment banking industry for such institutions as Citibank NY and Dresdner Bank (NY
and Frankfurt Germany) where his activities included risk exposure
management, global market analysis and the design of models which
identified trends in securities prices. He more
recently turned his focus to the evolving information economy and began
devising IT productivity applications for Fortune 500 companies focusing
on data mining applications while at Cognos Corporation.
He holds an MBA and PhD in Managerial Economics, with a focus on
corporate productivity through IT initiatives.
He is the author of “Data Mining and Business Intelligence: A
Guide to Productivity” and “Information Technology, Corporate
Productivity and the New Economy”.
Following is a list of his publications and public speaking
Information Technology, Corporate Productivity and the
New Economy, Kudyba, S., and
Diwan, R., Greenwood Publishing, Westport Connecticut, April 2002.
Data Mining and Business Intelligence: A Guide to Productivity, Kudyba, S., and Hoptroff, R., Idea-Group Publishing, Hershey, PA. , February 2001.
Increasing Returns to Information Technology, Kudyba,
S., and Diwan, R., Information Systems Research, 2002.
The Sweet Spot to Corporate Productivity
(Analytical Decision Support Systems), Kudyba, S., DM Review,
The Impacts of Information Technology on US
Industry, Kudyba, S., and Diwan, R., Japan and the World Economy,
Bond Yields and Equities: A non-linear relationship, Kudyba
S., and Diwan R., Futures Magazine, (November 1999).
Neural Networks a Better Forecaster? Kudyba,
S., Futures Magazine, (October 1998).
Commodities and Higher Inflation? Kudyba, S., and Diwan, R., Futures
Magazine (February 1998).
Federated Press (Toronto, Canada), “Data Mining for Marketing Success”, Virtual presenter from NYU Stern School, October 2001.
Symposium at NYU's Center for Japan-US Business and Economic Studies, (New
York, NY), “The Impact of Information Technology on US
Industry" March 2001.
North American Productivity Workshop (Union College, Schenectady, NY), “Productivity in US Information Technology”: June 2000.
Economic Association (Crystal City Virginia) “Profitability in US
Industry: The Evolution of the Information Economy”. March 2000.
South Conference (Orlando Florida)
Building in the Information Age” and the “Futures South Round Table
Discussion of Analytical Technology in the Financial Markets”:
Cover of Futures Magazine (May 1999).
Director Null Sigma Europe
Hoptroff’s is a physicist specializing in modeling non-linear systems
dynamics. For most of his
business career he has used these techniques in business modeling and
forecasting, both as a consultant and also by creating and publishing the
4Thought software package. He
was Founder of Right Information Systems Ltd, a management
consulting and computer software company specializing in mathematical
modeling for business analysis and forecasting and later was director of
data mining at Cognos Corporation. He
holds a BS and PhD in Physics from the University of London, where his
studies focused on researching neural networks and genetic algorithms.
Data mining and business intelligence: A guide to
S Kudyba and R G Hoptroff, Idea Group
Publishing, Hershey, PA, (2001)
Practical approaches to pricing analysis,
R G Hoptroff, D W Nairn and A M Shepherd, Journal of targeting,
measurement and analysis for marketing, Henry Stewart, Vol6 No3 (1998).
Contemporary approaches to quantifying advertising effectiveness, R G Hoptroff, M Williams and N Barak, Journal of targeting, measurement and analysis for marketing, Henry Stewart, Vol5 No4 (1997).
Neural network case studies in marketing analysis,
R G Hoptroff, Journal of targeting, measurement and analysis for
marketing, Henry Stewart, Vol3 No3 (1995).
Using neural networks for modeling and forecasting in financial trading applications,
R G Hoptroff, Conference on new techniques for financial analysis,
Birmingham, UK (1995).
The principles and practice of
time series forecasting and business modeling using neural nets,
R G Hoptroff, Neural computing and applications, Springer-Verlag, Vol1 No1
Neural control strategies,
R G Hoptroff, T J Hall and R E Burge, Invited paper, Computers &
mathematics with applications, (July 1992).
Optimization algorithms for neural net
learning in practical applications, R G
Hoptroff, PhD Thesis, King’s College, University of London, (1992).
Forecasting economic turning points with neural nets,
R G Hoptroff, M J Bramson and T J Hall, Proceedings of the International
Joint Conference on Neural Networks, Baltimore, (1991).
Forecasting the economic cycle: a neural network
approach, R G
Hoptroff, M J Bramson and T J Hall, Workshop on neural networks for
statistical and economic data, Dublin, (Dec 1990).
Experiments with a neural controller,
R G Hoptroff, T J Hall and R E Burge, Proceedings of the International
Joint Conference on Neural Networks, San Diego June 17-21, Vol.II p735
Two optimization approaches to COHOE design,
R G Hoptroff, P W McOwan, T J Hall, W J Hossack and R E Burge, Optics
Communications, Vol73 No3 pp188-194 (1989).
Learning by diffusion for the multilayer perceptron, R G Hoptroff and T J Hall, Electronics Letters, Vol85 No8 pp531-533 (1989).
Copyright © NullSigma Inc. 2001