Difference between revisions of "Andrew G. Allison"

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| fields      = signal processing, biomedical engineering, control, stochastics
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| fields      = Renewable energy, signal processing, biomedical engineering, control, stochastics
 
| workplaces  = CSIRO, Telecom, AOTC, Telstra, Visionstream, University of Adelaide
 
| workplaces  = CSIRO, Telecom, AOTC, Telstra, Visionstream, University of Adelaide
 
| high_school = [[Pulteney Grammar School]]
 
| high_school = [[Pulteney Grammar School]]

Revision as of 22:45, 4 February 2013

Andrew G. Allison
Andrew allison.png
Person_Name: Andrew G. Allison
Birth_Date: 1956
Birth_Place: Adelaide, Australia
Fields: Renewable energy, signal processing, biomedical engineering, control, stochastics
Workplaces: CSIRO, Telecom, AOTC, Telstra, Visionstream, University of Adelaide
High_School: Pulteney Grammar School
Undergrad_University: University of Adelaide
Undergrad_Degree: Mathematical Science (1978)
Computer Systems Engineering (1995)
Doctoral_University: University of Adelaide
Doctoral_Degree: Electrical & Electronic Engineering (2009)
Doctoral_Advisors: Derek Abbott and Charles E. M. Pearce


Andrew G. Allison completed a BSc in Mathematical Science at the The University of Adelaide in 1978. He initially worked for the Division of Horticultural Science of the CSIRO in the areas of DNA and High Pressure Liquid Chromatography (HPLC). Between 1981 and 1995, he worked for an evolving group of telecommunications organisations: Telecom, AOTC, Telstra and Visionstream. Here he gained experience in he gained experience with telephony, electronic data processing, local area networks and cable television. He completed a BEng in Computer Systems Engineering at the School of Electrical and Electronic Engineering at The University of Adelaide in 1995 and then began working as a lecturer in that School. During the course his PhD thesis, he has produced one book chapter, 12 papers in refereed journals, and 23 conference articles.

Bachelor's degree


Doctoral degree

  • Aspects of stochastic control and switching: from Parrondo’s games to electrical circuits

Awards

  • TBA


Scientific genealogy

Google Scholar profile

Journal articles

[1] M. J. Berryman, A. Allison, C. R. Wilkinson, and D. Abbott, "Review of signal processing in genetics," Fluctuation and Noise Letters, Vol. 5, No. 4, pp. R13–R35, 2005.

[2] M.J. Berryman, A. Allison, and D. Abbott, "Mutual information for examining correlations in DNA," Fluctuation and Noise Letters, Vol. 4, No. 2, pp. L237-256, 2004.

[3] P. Amengual, A. Allison, R. Toral, and D. Abbott, "Discrete-time ratchets, the Fokker-Planck equation and Parrondo's paradox," Proc. Royal Society London A, Vol. 460, pp. 2269–2284, 2004.

[4] T. W. Tang, A. Allison, and D. Abbott, "Investigation of chaotic switching strategies in Parrondo's games," Fluctuation and Noise Letters, Vol. 4, No. 4, pp. L585-L596, 2004.

[5] M. J. Berryman, A. Allison and D. Abbott, "Statistical techniques for text classification based on word recurrence intervals," Fluctuation and Noise Letters, Vol. 3, No. 1, pp. L1-L12, 2003.

[6] Y. Lee, A. Allison, D. Abbott, and H. E. Stanley, "Minimal Brownian ratchet: an exactly solvable model," Physical Review Letters, Vol. 91, No. 22, Art. No. 220601, 2003.

[7] A. Allison and D. Abbott, "A MEMS Brownian ratchet," Microelectronics Journal, Vol. 33, No. 3, pp. 235-243, 2002.

[8] A. Allison and D. Abbott, "The physical basis for Parrondo's games," Fluctuation and Noise Letters, Vol. 2, No. 4, pp. L327-L342, 2002.

[9] A. Allison and D. Abbott, "Control systems with stochastic feedback," Chaos, Vol. 11, No. 3, pp. 715-724, 2001.

[10] A. Allison and D. Abbott, "Stochastic resonance in a Brownian ratchet," Fluctuation and Noise Letters, Vol. 1, No. 4, pp. L239-244, 2001.

[11] A. Allison and D. Abbott, "Some benefits of random variables in switched control systems," Microelectronics Journal, Vol. 31, No. 7, pp. 515–522, 2000.

Conference articles

See also

External links

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