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Professor Anatoly Zhigljavsky


Mr Anatoly Zhigljavsky Position: Professor, Chair in Statistics Email:
Telephone: +44(0)29 208 75076
Fax: +44(0)29 208 74199
Extension: 75076
Location: M/2.34

Research Interests

Time Series Analysis

Multivariate Statistical Analysis

Statistical Modelling in Market Research

Stochastic Global Optimisation

Probabilistic Methods in Search and Number Theory

Dynamical system approach for studying convergence of search algorithms

Research Group




Autumn Semester
MA1002 Intro to Dynamic Systems & Chaos

Spring Semester
MA3502 Regression and Experimental Design

Administrative Duties

Senior Management Committee (member)

Member of School Research Committee

Member of School Management Board

Member of School Learning and Teaching Committee

Board of Studies (member)

Subject panel (member)

Personal Website

Professor Anatoly Zhigljavsky's personal pages




External Funding Since 2000

A series of projects with Procter and Gamble on statistical modelling in Market Research (total amount about £ 200 000)

Two projects (2003-2004 and 2006-2008) with AcNielsen/BASES on statistical modelling in consumer behaviour (total amount about £ 40 000)

A project with GlaxoSmithKline on statistical modelling in biopharmaceutical studies (2003/04, about £ 15 000)

A project with GlaxoSmithKline on statistical modelling in environmental science (2003/04, about £ 10 000)

Postgraduate Students

Graduated (Since 2000)

Malcolm Morrissey (graduated 2002)

Mathew Jones (graduated 2003)

Vippal Savani (graduated 2005)

Anna Kelbert (graduated 2005)

Rebecca Haycroft (graduated 2007)

Emily Hamilton (graduated 2009)


Bayda Fathi

Hossein Hassani

Gareth Howell

Maria Vronskaya

Annette Woehl


MSc  - University of St.Petersburg, Russia, 1976

PhD -  University of St.Petersburg, Russia, 1981

Habilitation - University of St.Petersburg, Russia, 1987

Further details on my education are available on my personal website

Previous Positions

Further details on my previous positions are available on my personal website