My supervisors are Dr. William Marsh, Prof. Norman Fenton, and Prof. Martin Neil.
I am working on Bayesian modelling and machine learning techniques in the fields of decision support for asset maintenance and data mining from medical health records.
I work on:
Queen Mary University of LondonSep 2015 – Present
Ph.D. student in Computer Science (supervised by Dr. William Marsh, Prof. Norman Fenton and Prof. Martin Neil): Using Bayesian Networks and Complex Data to Optimize Infrastructure Maintenance in Railways
The University of Hong Kong
Sep 2013 - Dec 2014
M.Sc. in Industrial Engineering and Logistic Management (supervised by Dr. Tak Nam, Wong): Colour Petri Net – based Modelling for Integrated Process Planning and Scheduling. My master thesis obtained the highest grade among the department
Jinan University
Sep 2009 - Jun 2013
B.Sc. in Electronic Commerce (supervised by Dr. Hua, Bai): Tourism Supply Chain Collaborative Demand Forecasting Model based on Colour Petri Net. Awarded for the best undergraduate thesis of Jinan University
Research Assistant on Project: Knowledge Discovery from Health Use Data (KNIFE)Apr 2019 - Present
Ph.D Research Committee RepresentativeJune 2016 - Mar 2018
I am the Ph.D. research committee representative for Risk and Information Management Group (RIM), EECS, QMUL
Liguo Steel Group (HK) LimitedJun 2014 - Apr 2015
I was a manager trainee, worked on commodity shipping, trading and financing
Email: haoyuan.zhang@qmul.ac.uk
Office: CS437, Computer Science Building, Queen Mary University of London, Mile End Road, London E1 4NS