Ronan Flynn

Ronan Flynn is a Lecturer in Computer and Software Engineering, researching human-centered multimedia systems. His work integrates physiological signal analysis with immersive technology design to model Quality of Experience (QoE).

Key research areas:

• ECG/respiration-based QoE prediction using deep learning
• AR/VR instructional efficacy for procedural training
• Multimodal distraction analysis in virtual environments

Developed WheelSimAnalyser for wheelchair simulator data analysis and investigated GAN-based solar radio burst simulation. Contributes to IEEE QoMEX and ISMAR conferences on affective computing in XR.