Dr Maria Chli

Senior Lecturer in Computer Science

Phone number: 0121 204 3443 

Email: chlim@aston.ac.uk  

Room number: MB211E

Personal website: www.maria-chli.org 


I received the MEng and PhD degrees in Computing from Imperial College London, in 2001 and 2005, respectively. I was a research assistant at the Intelligent Systems and Networks Section, Department of Electrical and Electronic Engineering, Imperial College London between 2001 and 2006. I have been lecturer at the Computer Science subject group, Aston University, in Birmingham since 2006.  

My research interests include multi-agent systems, particularly modeling of complex systems using agent-based methodologies.

For more information on my latest research and publications please visit www.maria-chli.org

  • 2001-2005 Imperial College London PhD in Intelligent Systems
  • 1997-2001 Imperial College London 
    MEng Computing
  • 2006-2007 Aston University 
    Certificate in Learning and Teaching in Higher Education 


  • 2006- Aston University 
    Lecturer in Computer Science
  • 2001-2006 Imperial College London 
    Research Assistant, Department of Electrical and Electronic Engineering, Intelligent Systems and Networks Section.
  • April-Sept. 2000 and June-Sept. 1999 J.P.Morgan Investment Management 
    Industrial Placements as a Software Analyst 


  • CS2300 Java Program Construction, CS2230 Operating Systems, CS3340 Multi-agent Systems
  • Group and Final Year project supervision 

 In most complex systems there is a mechanism that maps simple local rules to the macroscopic behaviour of these systems. We use agent-based modelling and simulation to investigate the following questions that arise from this fact:

  • Given the set of local interactions in a complex system (e.g. a society, an economy, an ecosystem) can we predict the large-scale patterns that emerge?
  • Given the large-scale patterns can we find the local interactions that lead to them?
  • Can we define local interactions that lead to the optimal large-scale patterns?


Keywords: multi-agent systems, agent-based modelling, biologically-inspired systems, decision-making, mechanism design, methodological advancement of agent-based modelling.

  • Michael Winsper: Agent-based supply chain formation.
  • Michael Garlick: Multi-agent system models for consumer behaviour and policy formation.


I am always looking for well-qualified students who are interested in multi-agent systems research. Students with strong backgrounds in computing, engineering, mathematics or economics and excellent communication skills are encouraged to email me with a statement of interest and CV.