2 – Deep RL-based CAV longitudinal controller in mixed traffic flow

Connected Autonomous Vehicles (CAVs) are expected to share the roads with Human Driven Vehicles for the foreseeable. The random sequences in this mixed traffic flow render the design of CAV controllers particularly challenging.  This project investigates the design of a deep reinforcement learning algorithm  algorithms to reduce the training dimensions and alleviate computational burdens. This … Read more

Deep Fake Enfacement Experiment

[MSc Level] This project will involve creating a real-time enfacment system from the state of the art deep-fake networks, and conducting perceptual experiments to identify if participants have ownership of their new face, and if properties of the source-actor (e.g., age, gender, etc.) can be perceived, even though the generated video is a photorealistic depiction … Read more