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Xiaoqing Fan

Hi, I am a first-year PhD student in Mathematics for Real-World Systems Centre for Doctoral Training. My research interests involve algorithms, machine learning (particular reinforcement learning), dynamical systems and algorithmic game theory. I am under the supervision of Dr. Paolo Turrini and Prof. Thomas Hills.

Current Research Topic

I am currently researching on the intersection of reinforcement learning and game theory, with a primary focus on designing algorithms to uncover the underlying learning processes and what driven the cooperation in social networks. Meanwhile, I am designing the experiments with Department of Psychology and recruiting participants to structure an environment that fosters enhanced pro-social behaviour.

Projects

Multiple Object Tracking and Forecasting: Predicting Future Object Locations with Reinforcement Learning. Supervised by Dr. Victor Sanchez.

Drift and Bias in AI Triage Tools for GP Consultations. Supervised by Prof Magnus Richardson and in collaborate with Dr Youssef Taleb from Spectra Analytics.

Graph Transformation Method for Graph Convolutional Networks with Heterophily. Supervised by Professor Mauricio Barahona.