Andrew Morozov Home Page


 Dr. Andrew Morozov

Reader in Applied Mathematics    

            Andrew Morozov picture



                      Research interests:


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 evolutionarry 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 2015: Linking Mathematical Theories with Empirical Realities

(University of Leicester, April 30-May 3, 2015)


Previous conference on the modelling biological evolution:

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












Contact details

Department of Mathematics, University of Leicester

University Road, Leicester, LE1 7RH, United Kingdom

Phone: +44 116 252 5054

Fax: +44 116 252 3915



Share this page:

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

Postgraduate Taught:

Postgraduate Research:

Distance Learning Course  

Actuarial Science: