Haoyuan Zhang

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I am a 3rd-year Computer Science Ph.D. Candidate in Risk & Information Management Group, Queen Mary University of London (QMUL).

My supervisors are Dr. William Marsh, Prof. Norman Fenton, and Prof. Martin Neil.

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Research Interests

My current research topic is using Bayesian network models to improve maintenance decision making from sparse data and expert judgement.

I work on:

• Model-based Machine Learning (Probabilistic Programming)
• Hierarchical Bayesian Models
• Probabilistic Relational Models
• Heuristic-based Algorithms

With application on:

• Deterioration Modelling, System Safety and Reliability
• Railway Maintenance Decision Making
• Scheduling and Optimization Problems

 

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Education

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

 

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Other Roles

Ph.D Research Committee RepresentativeJune 2016 - Present
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

 

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Contact

Email: haoyuan.zhang@qmul.ac.uk

Office: CS437, Computer Science Building, Queen Mary University of London, Mile End Road, London E1 4NS