Selected Projects
Applied work across neural interfaces, biosignal analysis and cognitive interaction. The descriptions below focus on implementation and scope; they do not imply clinical validation.
SyncNeurons · Neurotechnology platform
Role: Founder, CEO & Chief Architect Building an AI and neurotechnology platform around biosignals and connected data workflows. My focus includes core neural-network architecture, real-time EEG processing, explainable AI, system strategy and zero-trust data architecture.
SyncNeurons platform · فارسی · GitHub organization · LinkedIn
EEG analysis and reporting
Designed and developed an automated analysis system for EEG data from Emotiv devices for an international psychology center. Work included EEG signal processing, machine-learning models for metrics such as attention and stress, a Python backend, report generation and an interactive dashboard.
Role: Lead system designer and developer. The system supported assessment workflows; it is not presented here as a diagnostic product.
Signal-processing tutorials and implementations on GitHub
Cognitive assessment games
Designed and developed interactive activities for visual memory, visual attention, eye–hand coordination, selective attention, digit memory and reaction time. The activities were adapted for children and adults; Python analysis produced performance summaries, charts and comparisons for the partnering center.
Role: Lead designer and developer across the game experience, UI/UX and analysis workflow.
Motor-imagery BCI
An ongoing area of research and implementation connected to my graduate work and comparative study of convolutional and transformer architectures for subject-independent motor-imagery decoding.
Bone-age estimation from hand X-rays
Implemented a Visual Transformer model for hand X-ray bone-age estimation. The associated paper has been accepted. The project is also available as a public GitHub repository.
Bone-Age-Estimation repository
BCI book translation
Persian translation of Brain–Computer Interface Research: A State-of-the-Art Summary (Volume 12), originally published by Springer and written by Christoph Guger.
EEG learning resources
I have also published tutorials and implementations on EEG handling, preprocessing and artifact removal using EEGLAB and MNE-Python.
Selected methods and tools
Python · PyTorch · EEG signal processing · MNE-Python · EEGLAB · machine learning · model interpretability · backend and dashboard development