Maria Chli

Reader - Computer Science, Aston University

Dr. Maria Chli (MEng Computing & PhD Intelligent Systems, Imperial College London) is a Reader in Applied Artificial Intelligence and Robotics at Aston University. As the Director of Aston's Computer Science Industry Club, she facilitates application of cutting-edge research in collaboration with the industry.

With over 17 years of experience, Maria's research focus lies in intelligent agents and multi-agent systems. Her core work involves modelling complex systems and optimizing them through the fusion of multi-agent system techniques with machine and deep learning. Maria's contributions extend to optimizing decision-making for intelligent agents both in standard and real-time settings.

Maria’s team’s ground-breaking work has been recognised through a diverse portfolio of fund awards (EU, Innovate UK, Royal Society) and success in research competitions (e.g., PowerTAC). Notably, their contributions to autonomous traffic control attracted the attention of transport stakeholders and received widespread media coverage, including features on BBC News, Deutsche Welle, and other outlets.

My Sessions at Traffex

Wednesday 22 May 2024


Fully Autonomous, Vision-based Traffic Signal Control: from Simulation to Reality

11:45 - 12:05 Artificial Intelligence Traffic Management
  • Presenting an artificial intelligence system to control traffic lights in real time.
  • The system – the first of its kind – reads live camera footage and adapts the lights to compensate, keeping the traffic flowing and reducing congestion.
  • We present the findings of deploying this AI traffic control to real-world junctions, in collaboration with Coventry City Council.

Panel: Using AI to Proactively Anticipate and Manage Traffic across the Network

12:45 - 13:25 Artificial Intelligence Traffic Management
  • Achievements within the transport community to date in this area of R&D, and its benefits in defining urban transport requirements.
  • What's needed among councils, researchers and other players to enable AI to be used in a smart cities context?
  • What are the barriers to accessing data, and how do we weigh up convenience against privacy?