Dr. Quanbin Sun

  • PhD, Crowd Modelling and Simulation, University of Salford
  • MSc, Multimedia and Internet Computing, Loughborough University
  • BSc, Computer Science, Beijing University of Post and Telecommunications, China
  • Associate Fellow of HEA
  • Educational Affiliation of BCS
Quanbin Sun 

Research Contact Teaching

System Modelling and Simulation, Crowd Behavioural Modelling, Informatics (Health, Civil Engineering, Built Environment)

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Dr. Quanbin Sun
Department of Computer Science
Edge Hill University
L39 4QP

Phone: 01695 657665
Email: Dr Quanbin Sun
Office: THG10

  • Software Engineering
  • Object-Oriented Programming
  • Introduction to Software Quality Assurance and Testing
  • Advanced Analytics Tools and Techniques
  • Application Development with Java


Quanbin Sun is a Senior Lecturer in Computer Science (Software Engineering) at Edge Hill University, UK. His main research interest lies in crowd behavioural modelling and simulation, and its applications in the built environment.

Before joining the Department, he was a senior IT developer at the University of Manchester, where he worked in several multi-million projects to develop bespoke systems for Higher Education and Health Care.

Prior to that, he completed a PhD in individual behavioural modelling and crowd simulation at the University of Salford. He proposed a configurable crowd model with a generic behaviour effect representation mechanism which was well received by leading journals in its subject (e.g. Computer-Aided Civil and Infrastructure Engineering, Impact Factor: 5.288). He also led the software development for a research project (EPSRC) and an industrial project (KTP) and was recognised as a sponsored developer of Software Sustainability Institute in 2012.

Research Publications

Journal Articles:
  • Sun, Q & Wu S. 2014. A configurable agent-based crowd model with generic behaviour effect representation mechanism. Computer-Aided Civil and Infrastructure Engineering doi: 10.1111/mice.12081
  • Wu, S & Sun, Q. 2014. Computer simulation of leadership, consensus decision making and collective behaviour in humans. PLoS one. 9(1). doi:10.1371/journal.pone.0080680.
  • Shen W., Shen Q., Sun Q., 2012. Building Information Modeling-based user activity simulation and evaluation method for improving designer-user communications, Automation in Construction. Vol 21, pp 148-60.
  • Conference Articles:
  • Trovati, M., Thomas, W., Sun, Q., Kontonatsios G. (2017) Assessment of Security Threats via Network Topology Analysis: An Initial Investigation. In: Au M., Castiglione A., Choo KK., Palmieri F., Li KC. (eds) Green, Pervasive, and Cloud Computing GPC 2017. Lecture Notes in Computer Science, vol 10232. Springer, Cham
  • Sun, Q. & Wu, S., 2011. A Crowd Movement and Behaviour Observe Tool with Configurable Individual Agents to Support Building Layout Design and Navigation Plan. CIB 2011 w078/w102.
  • Sun, Q. & Wu, S., 2011. A Crowd Model with Multiple Individual Parameters to Represent Individual Behaviour in Crowd Simulation. ISARC 2011.
  • Sun, Q. & Wu, S., 2009. A Configurable Approach to Behavioural Modelling and Crowd Simulation. 9th UK-CARE AGM 2009.
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