I study how people remember and respond to information in virtual environments. In my PhD at Ulster, I design cognitive tasks and build the VR systems used to investigate working memory, attention and adaptive training.
My background spans architecture, animation and artificial intelligence. That route shapes how I approach experimental spaces and visual stimuli.
I am an IEEE member and have reviewed for IEEE VR, CogSci and Applied Neuropsychology. Full education, experience and technical skills are in my CV.
Reporting Immersive Virtual Reality Experiments in Cognitive and Affective Research: A Cross-Domain Methodological Audit and Provisional Minimum Reporting Items
Dorosti, S., Meakin, E., Prasad, G., Rizzo, A. S., Green, C. S., & Chen, Y.
Submitted to Behavior Research Methods
2026
Data-Driven EEG-Informed Decision Modelling for Digital Food-Ordering Interfaces
Dorosti, S., Abdollahi, S., & Prasad, G.
Submitted to EDIGE 2026
2027
When Interface Conditions Become User Profiles: Auditing Behavioral Segmentation in Online Food Choice
Submitted to ACM CHI 2027
Work in preparation +
2026
Reporting Wearable Physiological and Neurophysiological Sensing in Immersive VR/XR: A Methodological Evidence Map and Checklist
In preparation
2026
Psychometric and Ecological Validity of Immersive VR-Based Cognitive Assessment and Training in Clinical and Ageing Populations: A Methodological Review
In preparation
Background
CV & profiles.
Before my PhD, I completed an MSc in Artificial Intelligence at Bournemouth University, following degrees in animation and architecture.