Dr Babak Mahdavi Ardestani
Babak Mahdavi Ardestani
Babak is a mathematical modeler with research interests and expertise which cut across various disciplines, including computer science, engineering, geography, social, network and health sciences.
The unifying theme throughout much of the research has involved building models of complex systems/phenomena for informing policy decision making.
At Oxford, he is currently a member of the AToME research group involved in the development of individual-based models applied to the epidemiology of malaria which incorporate demographic processes, network geography, transmission and within-host dynamics used to evaluate various elimination driven interventions and their cost-efficiency.
Individual and Social Network Structure Characteristics Associated with Peer Change Agent Engagement and Impact in a PrEP Intervention.
Walsh T. et al, (2020), AIDS and behavior, 24, 3385 - 3394
Sex Partner Behavior Variation Related to Network Position of and Residential Proximity to Sex Partners Among Young Black Men Who Have Sex with Men.
Chen Y-T. et al, (2020), AIDS and behavior, 24, 2327 - 2335
A multi-scaled agent-based model of residential segregation applied to a real metropolitan area
Mahdavi Ardestani B. et al, (2018), Computers, Environment and Urban Systems, 69, 1 - 16
Levelling of heating and vehicle demand in distribution networks using randomised device control
Boait P. et al, (2013), IET Conference Publications, 2013
Accommodating renewable generation through an aggregator-focused method for inducing demand side response from electricity consumers
Boait P. et al, (2013), IET Renewable Power Generation, 7, 689 - 699