[Univ of Cambridge] [Dept of Engineering]

Dr Simon I. Hill Photo, Simon Hill

Signal Processing Laboratory


Introduction

Simon Hill is a Research Associate with the Cambridge University Engineering Department Signal Processing Laboratory in the Information Engineering Division. He started with the group as a Ph.D. student in October 1999. Previously he was a PhD student at the Research School of Information Sciences and Engineering (RSISE), part of the Australian National University (ANU) in the Telecommunications Engineering Group. As an undergraduate at the ANU he received a Bachelor of Engineering (Hons 1, medal), (Department of Engineering) and a Bachelor of Science (Department of Physics). As a Ph.D. student he was at Trinity College.

Other Work

Dr Hill has done consultancy work for Cambridge Bluegnome, and worked for Winton Capital Management.

Publications

Yu-Foong Chong, Elizabeth W. Garnsey, Simon I. Hill and Frédéric Desobry, Daylight Saving, Electricity Demand and Emissions; Exploratory Studies from Great Britain, a Chapter in "Electricity and Heat Demand in a Low-Carbon World: Customers, Citizens and Loads", edited by T. Jamasb and M. Pollitt. Cambridge University Press, 2011.

Paris Kaimakis, Simon I. Hill, William J. Fitzgerald and Jean Bacon, "Urban Road Traffic Tracking using Sequential Monte Carlo Based on a Monocular Video Stream" IEEE Transactions on Signal Processing, Submitted, 2010.

Paris Kaimakis, Simon I. Hill, William J. Fitzgerald and Jean Bacon, "3D Multi-Car Tracking Based on Monocular Video." In Proceedings of the Second International Workshop on Cognitive Information Process, 2010, Elba Island, Italy, June 2010.

Simon I. Hill, Frédéric Desobry, Elizabeth W. Garnsey and Yu-Foong Chong, "The Impact on Energy Consumption of Daylight Saving Clock Changes" Energy Policy, Accepted for Publication, 2010. Available in pdf. This work featured in news articles by the Telegraph, the Guardian, and the BBC, among others.

Paris Kaimakis, Simon I. Hill, William J. Fitzgerald and Jean Bacon, Urban Road Traffic Tracking using Sequential Monte Carlo based on a Monocular Video StreamTechnical Report CUED/F-INFENG/TR.642, Cambridge University Engineering Department, March 2010.

Sze Kim Pang, Francois Septier, Jack Li, Simon Godsill and Simon Hill, Sequential Inference for Dynamically Evolving Groups of Objects, a Chapter in "Bayesian Time Series Models", edited by D. Barber, A.T. Cemgil and S. Chiappa. Cambridge University Press, 2010.

Simon I. Hill, "Tracking Value at Risk through Derivative Prices." Presented at Computing in Economics and Finance, 2009, Sydney, Australia, July 2009.

Simon I. Hill, Frédéric Desobry and Yu-Foong Chong, Quantifying the Impact of Daylight Saving Clock Changes on Energy Consumption Technical Report CUED/F-INFENG/TR.620, Cambridge University Engineering Department, May 2009. Available in pdf.

Simon I. Hill and Thomas Schreiber, Using the Fast Fourier Transform and Monte Carlo Integration for Pricing Options. Technical Report CUED/F-INFENG/TR.608, Cambridge University Engineering Department, August 2008. Available in postscript and pdf.

Simon I. Hill, Tracking Value at Risk. Technical Report CUED/F-INFENG/TR.602, Cambridge University Engineering Department, May 2008. Available in postscript and pdf.

Simon I. Hill and Arnaud Doucet, "A Framework for Kernel-Based Multi-Category Classification" Journal of Artificial Intelligence Research, 30, 525-564, December 2007. Available in postscript and pdf.

Simon I. Hill, Notes on the Generalisation Performance and Fisher Consistency of Multicategory Classifiers. Technical Report CUED/F-INFENG/TR.583, Cambridge University Engineering Department, September 2007. Available in postscript and pdf.

Simon I. Hill, "Non-Linear Variable Selection in a Regression Context." In Proceedings 2007 5th International Symposium on Image and Signal Processing and Analysis (ISPA), Istanbul, Turkey, September 2007. Available in postscript and pdf.

Simon I. Hill, Non-Linear Variable Selection in a Regression Context. Technical Report CUED/F-INFENG/TR.580, Cambridge University Engineering Department, July 2007. Available in postscript and pdf.

Simon I. Hill and Arnaud Doucet, "Adapting Two-Class Support Vector Classification Methods to Many Class Problems". 22nd International Conference on Machine Learning (ICML), Bonn, Germany, August 2005. Available in gzipped postscript and gzipped pdf.

James R. Hopgood and Simon I. Hill, "An Exact Solution for Incorporating Boundary Continuity Constraints in Subband All-Pole Modelling." In Proceedings 2005 IEEE Workshop on Statistical Signal Processing, Bordeaux, France, July 2005. Available in gzipped pdf.

Simon I. Hill and Arnaud Doucet, A Framework for Kernel-Based Multi-Category Classification. Technical Report CUED/F-INFENG/TR.508, Cambridge University Engineering Department, January 2005. Available in gzipped postscript and gzipped pdf.

Simon I. Hill, Applications of Statistical Learning Theory to Signal Processing Problems. Ph.D. Dissertation, Cambridge University Engineering Department, April 2003. Available in gzipped postscript and gzipped pdf.

Simon I. Hill, Hugo Zaragoza, Ralf Herbrich and Peter J.W. Rayner, "Average Precision and the Problem of Generalisation". In Proceedings ACM-SIGIR Workshop on Mathematical / Formal Methods in Information Retrieval (MFIR02), 2002. Available in gzipped postscript and gzipped pdf.

Simon I. Hill, Patrick J. Wolfe and Peter J.W. Rayner, "Nonlinear Perceptual Audio Filtering using Support Vector Machines". In Proceedings 2001 IEEE Workshop on Statistical Signal Processing, pages 488-491, Orchid Country Club, Singapore, August 2001 (ISBN 0-7803-7011-2). Available in gzipped postscript and gzipped pdf.

Simon I. Hill and Robert C. Williamson, "Convergence of Exponentiated Gradient Algorithms" IEEE Transactions on Signal Processing, 49(6), 1208-1215, June 2001. Available in gzipped postscript and gzipped pdf.

Simon I. Hill and Robert C. Williamson, "An Analysis of the Exponentiated Gradient Descent Algorithm", in Proceedings of the Fifth International Sympoisium on Signal Processing and its Applications (ISSPA99), Vol. 1, pages 379-382, Brisbane, 1999 (ISBN 1 86435 451 8). Available in gzipped postscript and gzipped pdf.

Lecture Notes

Introduction to Monte Carlo Methods

Stochastic Processes in Finance

Contact Information


[ Cambridge University | CUED | Signal Processing Group ]

Updated: Fri Sep 14 10:00:00 2007

Simon I. Hill - simon.hill {at} eng {dot} cam {dot} ac {dot} uk