Haoyuan Zhang

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.

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



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


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



Email: haoyuan.zhang@qmul.ac.uk

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

  • Haoyuan Zhang

  • #Ph.D. Candidate
  • #Bayesian Learning
  • #System Safety and Reliability

Email: haoyuan.zhang@qmul.ac.uk


  • 02/2018: The paper on ESREL 2018 is accepted
  • 09/2017: The paper in Journal of Risk and Reliability is accepted