School of Computer Science and Statistics
Eligibility: This project is only available to students on the online MSc Statistics and Data Science programme. If you are interested, please contact Dr. Rishabh Vishwakarma at rishabh.vishwakarma@tcd.ie. Biodiversity and ecosystem function (BEF) studies investigate how diversity, including the number of species and their relative proportions affect the outputs (functions) of an ecosystem. Commonly, BEF … Read more
This is a project for the M.Sc. in Statistics and Data Science This will look at a longitudinal case study of a Dublin feral/community-cat colony before and after a Trap-Neuter-Return (TNR) intervention, using CDPA data to investigate changes in population size and other factors that may influence the colony’s trajectory. The data for this project … Read more
This project would suit an undergraduate FYP, particularly if taking the 4th year Human Factors module. The aim of the project would be to replicate classic human performance experiments using computer games as a testbed, starting with simpler phenomena such as Fitts’ Law (representing the time taken to hit a screen target based on distance … Read more
Several qualitative research methodologies involve analysis of data such as interview transcripts and open questionnaire responses. For example, several forms of analysis involve coding of the transcripts and then identifying common patterns and themes within the codes. There are potential benefits as well as risks associated with the use of AI tools to support such … Read more
Learning and search are analyzed in hybrid automata that support continuous and differentiable change as in Lagrangian mechanics. Discrete approximations of that change are investigated in simple domains such as gridworlds where Legendre transforms and Lie algebras are considered.
This project will investigate whether multiple NVIDIA Jetson edge devices can collaboratively train and improve an AI occupancy-detection model without transferring raw video or image data between sites. The student will build and evaluate a federated learning setup in which devices train locally and contribute model updates to a shared global model, while accounting for … Read more
This project will investigate whether an AI-based occupancy detection system performs consistently across different demographic and environmental conditions. Using a commercial computer-vision model, the student will design and conduct an independent evaluation of person-detection performance across skin-tone groups and conditions such as lighting, occlusion, camera angle, distance, and background contrast. The project will involve dataset … Read more
Traffic networks can be significantly affected by unexpected events such as accidents, road closures or sudden congestion. Conventional route-planning approaches may struggle to adapt efficiently to these changes. This project investigates whether reinforcement learning can learn adaptive routing strategies that respond to unexpected disruptions. The learned approach will be evaluated in a simulated transport network … Read more
Vehicles approaching highway merges or lane-changing situations need to coordinate their actions to maintain safety and traffic efficiency. This project investigates whether multiple reinforcement learning agents can learn cooperative lane-changing strategies. Different training approaches will be compared with conventional rule-based strategies. The project will evaluate their impact on traffic safety, travel time and overall traffic … Read more