Dr Andrew Morozov

Reader in Applied Mathematics

Department of Mathematics, University of Leicester

University Road, Leicester, LE1 7RH, United Kingdom

Phone: +44 116 252 5054

Fax: +44 116 252 3915

Email: am379@leicester.ac.uk

Andrew Morozov picture


I am an applied mathematician with the main interests in modelling and analysing biological systems. In particular, I explore interactions at the population, community and ecosystem levels and this often involves evolutionary effects.

From the mathematical point of view the fields of my study include non-linear systems of ordinary, partial and integro-differential equations as well as methods of adaptive dynamics. From the biological point of view, I am interested in modelling and understanding complex ecological systems. This involves modelling animal behaviour, population dynamics as well as evolutionary effects. Topics of current interest are: (i)  biological invasion and biological control; (ii) role of foraging behaviour of animals in population stability and peristance of heterogeneous habitats; (iii) evolution of diseases in foodwebs; (iv) structural sensitivity of biological models with respect to choice of modelling functions; (v) diel vertical migration of aquatic animals (zooplankton).

List of selected publications

For the citation report, see my Google Scholar Profile

International conference

Modelling Biological Evolution 2017: Developing Novel Approaches

(University of Leicester, April 4-7, 2017)

Previous conferences on the modelling biological evolution:

Modelling Biological Evolution 2015: Linking Mathematical Theories with Empirical Realities

Modelling Biological Evolution 2013: Recent Progress, Current Challenges and Future Directions

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Contact details

Department of Mathematics
University of Leicester
University Road
Leicester LE1 7RH
United Kingdom

Tel.: +44 (0)116 252 3917
Fax: +44 (0)116 252 3915

Campus Based Courses

Undergraduate: mathsug@le.ac.uk
Postgraduate Taught: mathspg@le.ac.uk

Postgraduate Research: pgrmaths@le.ac.uk

Distance Learning Course  

Actuarial Science: