PhD. Researcher, MSc. Artificial intelligence, MA. Animation, BA. Architecture
Embedded Files
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.
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.
Technical Skills & Expertise
Machine Learning & Adaptive Systems
• Machine learning methods for adaptive and interactive systems
(scikit-learn, NumPy, pandas)
• Feature engineering, model selection, and model evaluation
Deep Learning
• Deep learning fundamentals for classification and sequence modelling
(PyTorch, TensorFlow, Keras)
• Training, fine-tuning, and performance analysis of neural models
Pattern Recognition & Signal-Based Interaction
• Pattern recognition for behavioural and physiological data (SciPy, MNE-Python, OpenCV)
• Signal preprocessing, feature extraction, and temporal analysis
Game Engines & Creative Technologies
• Unreal Engine and Unity for gameplay systems and prototyping (C#, Blueprints)
• TouchDesigner for real-time audiovisual interaction
• Python and MATLAB for data processing and experimental pipelines
XR & Interactive Systems Development
• VR/AR experience design and implementation
• Integration of sensing and interactive hardware
(Kinect, Leap Motion, Arduino, Raspberry Pi, eye-tracking systems)
Biosignal Acquisition & Analysis
• EEG data acquisition and analysis (MNE-Python, EEGLAB)
• Multimodal data integration (behavioural, eye-tracking, physiological signals)
A small moment from the game. More information coming soon.
Reviving Memory through Multimodal Fractal VR Game
Reviving Memory through Multimodal Fractal VR Game
This project is an adaptive virtual reality game that explores focus, mental effort, and cognitive pleasure in play. Rather than treating enjoyment as constant immersion or ease, the game is designed around moments of challenge, strain, and recovery, showing how pleasure can emerge through managing attention over time.
This project is an adaptive virtual reality game that explores focus, mental effort, and cognitive pleasure in play. Rather than treating enjoyment as constant immersion or ease, the game is designed around moments of challenge, strain, and recovery, showing how pleasure can emerge through managing attention over time.
Gameplay adapts to the player’s moment-to-moment state using behavioural input alongside eye movement and non-invasive brain and heart signals, which are used as design materials rather than measurements. Short, in-game meditation moments support the recovery of focus and help players re-enter challenging states with greater stability.
Gameplay adapts to the player’s moment-to-moment state using behavioural input alongside eye movement and non-invasive brain and heart signals, which are used as design materials rather than measurements. Short, in-game meditation moments support the recovery of focus and help players re-enter challenging states with greater stability.
The project asks how games might better respond to different capacities for attention and fatigue, and how cognitive pleasure can be designed as something embodied, variable, and actively regulated.
The project asks how games might better respond to different capacities for attention and fatigue, and how cognitive pleasure can be designed as something embodied, variable, and actively regulated.
Page updated
Google Sites
Report abuse