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Sarshar Dorosti

About me · Ulster University, Belfast

Sarshar Dorosti

Researcher in cognition and immersive systems.

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.

Research

Selected research.

Main research project

Neuroadaptive XR

Visuospatial working memory under changing task and environmental demands.

My doctoral project combines cognitive assessment with adaptive VR training, linking task performance to gaze, EEG and ECG recordings.

Methods
Unity · Behaviour · Eye tracking · EEG · ECG
Explore the research ↗
Sarshar Dorosti working with a VR headset and physiological sensing equipment

Visual complexity & neural responses

Fractal–EEG

Using fractal animation to study neural responses to visual complexity.

Two published studies examine EEG complexity and shared neural responses during fractal animation viewing.

Methods
Fractal animation · EEG · Complexity analysis
Explore the research ↗
Workflow connecting fractal animation, EEG recording and complexity analysis

Computer vision for immersive imagery

ImmersiveDepth

Monocular depth estimation for 360° imagery.

A hybrid depth-estimation workflow combining tangent projection and multiple models, published at IEEE VRW 2025.

Methods
Computer vision · 360° imagery · Depth estimation
Explore the research ↗
ImmersiveDepth pipeline showing a panoramic image, estimated depth and 3D visualisation

Methodological research

Research methods & reporting

Alongside the experimental work, I review how immersive studies report timing, synchronisation and measurement validity.

View related manuscripts ↗

Publications & manuscripts

Publications.

Published papers and submitted manuscripts, with the status of each shown alongside its venue.

2025

Exploring Neural Synchronization with EEG Using Fractal Animations

Dorosti, S., & Shabani, M.

Published · CogSci

2025

ImmersiveDepth: A Hybrid Approach for Monocular Depth Estimation from 360 Images Using Tangent Projection and Multi-Model Integration

Dorosti, S., & Yang, X.

Published · IEEE VRW

2023

Analysis of the Complexity of EEG Signals in Relation to the Complexity of Fractal Animations

Dorosti, S., Namazi, H., & Khosrowabadi, R.

Published · Fractals

2026

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.

Download full CV ↓

Research & collaboration

Get in touch.

For research discussions and collaborations on cognition, immersive experiments or adaptive training, you can reach me at Ulster.

dorosti-s@ulster.ac.uk ↗

Ulster University · Belfast, Northern Ireland