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Dr. David Lucy   Lecturer

Areas:
Mathematics
Office:
EN710d
Phone:
+61 3 9214 8152
Fax:
+61 3 9214 8484
E-Mail:
dlucy@swin.edu.au
Campus:
Hawthorn
Faculty of Engineering & Industrial Sciences (H38)
Swinburne University of Technology
PO Box 218
Hawthorn, Victoria, 3122
Australia

Qualifications

  • PhD(Mon),
  • BSc(Hons)(Mon),
  • DipEd(Melb)

Current PhD Students

  • Gaganjyoti Sandhu, "A numerical study on biological control of invasive predator population to protect endangered prey population"

Supervision of higher degree by research (HDR) (Current students)

NameDegreeResearch CentreStart yearRoleInstitution
Gaganjyoti SandhuA numerical study on biological control of invasive predator population to protect endangered prey population
 PhDFaculty2010Associate SupervisorSwinburne

Afia NaheedA study on the numerical modelling of the spatio-temporal spread of infectious diseases
 PhDMaths2011Associate SupervisorSwinburne


Previously Supervised higher degree by research (HDR) students

NameDegreeResearch CentreStatusRoleInstitution
Md SamsuzzohaA study on numerical simulations of epidemic models
 PhDFacultyCompletedAssociate SupervisorSwinburne


Topics for Prospective Ph.D Students - View ALL topics for Dr. David Lucy

A study on numerical simulations of epidemic models
In order to simulate the outbreak of a disease it is proposed to consider numerical simulations of deterministic differential equations in conjunction with stochastic environments. A strong partnership between deterministic and stochastic simulations will be developed to draw meaningful conclusions in the prevailing complex situations.

A Theoretical Study on the Formation of Spatial Patterns on Twospotted Spider Mite
The aim of this project is to predict the formation of spatial patterns on twospotted spider mite.

First, Logistic Lotka – Volterra predator – prey equations will be used to obtain the conditions for the spatial pattern generated by diffusion – driven instability.