Personal profile
Biography
Sarshar Dorosti is a PhD researcher at Ulster University with a multidisciplinary academic background. He holds a Master's degree in Artificial Intelligence from the NCCA at Bournemouth University, along with a second Master's in Animation and a Bachelor's degree in Architecture. His interests include applying AI to design Brain-Computer Interaction games based on VR/AR, with a focus on brain research and well-being. He explores brain responses to generative systems and fractal animations using a complexity approach. In addition to publishing articles in prestigious journals and conferences, his artworks have received awards and have been showcased in various exhibitions and gallery spaces.
Research Interests
PhD Researcher Profile
My current PhD research explores the enhancement of visuospatial working memory through adaptive virtual reality environments utilizing fractal patterns and multimodal data analysis, such as EEG and ECG, to investigate the interplay between cognitive complexity, mental load, and physiological responses.
Education/Academic qualification
PhD, Reviving Visuospatial Working Memory through Multimodal Fractal VR Game based on EEG and ECG
17 Sept 2024 → 17 Sept 2027
Award Date: 17 Sept 2024
Master, ImmersiveDepth: A Hybrid Approach Combining Depth Models and Geometric Techniques, Bournemouth University
16 Sept 2023 → 16 Sept 2024
Award Date: 16 Sept 2023
Master, Evaluation the effect of generative Fractal Animation on user brain fractality based on (VR and BCI), University of Tehran
1 Sept 2017 → 1 Sept 2019
Award Date: 1 Sept 2017
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Fractal dimension of EEG signal senses complexity of fractal animations
Dorosti, S., Khosrowabadi, R. & Namazi, H. R., 13 Feb 2021, In: [Fractals].Research output: Contribution to journal › Article › peer-review
Open AccessFile19 Downloads (Pure) -
Exploring Neural Synchronization with EEG Using Fractal Animations
Dorosti, S. & Shabani, M. (Editor), 2 Aug 2025, (Published online) Cognitive Science Society. eScholarship Publishing, Vol. 47. p. 4867-4872 7 p. (Proceedings of the Annual Meeting of the Cognitive Science Society).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile39 Downloads (Pure) -
ImmersiveDepth: A Hybrid Approach for Monocular Depth Estimation from 360 Images Using Tangent Projection and Multi-Model Integration
Dorosti, S. & Yang, X., 8 Mar 2025, 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). p. 1392-1393 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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ANALYSIS OF THE COMPLEXITY OF EEG SIGNALS IN RELATION TO THE COMPLEXITY OF FRACTAL ANIMATIONS
DOROSTI, S., Namazi, H. & KHOSROWABADI, R., Jan 2023, In: Fractals.Research output: Contribution to journal › Article › peer-review
14 Link opens in a new tab Citations (Scopus) -
An EEG study to analyze the rain responses to fractal animation
Dorosti, S. & Khosrowabadi, R., 28 Aug 2020.Research output: Contribution to conference › Abstract › peer-review