School of Computer Science
 

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Biography

My main research topic is the application of synthetic population generation techniques to agent-based simulations. In particular, an endogenous calibration that does not require extensive agent-level or population distributional information, but uncovers this by observing how different potential populations behave in the simulation and comparing those outcomes to real-world outcomes.

Research Summary

PGR Project: Endogenous Generation of Synthetic Populations in Agent-Based Simulations

This methodology will calibrate algorithms to generate agents, who populate simulations, by matching simulation outcomes to real-world outcomes. This allows populations to be generated without having detailed prior knowledge of their characteristic distributions.

Keywords: Agent-based, calibration, simulation, synthetic population

Past Research

Evaluating metamodel and optimizer pairs for solving multiple objective problems.

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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