RESEARCHER & ENGINEER / TEHRAN, IRAN
Decoding
cortical dynamics
with AI.
I’m Armin Abdollahi. I work across brain–computer interfaces, EEG and artificial intelligence—with a focus on how neural signals become meaningful human–computer interaction.
C3 Cz C4 1 in preparation
University of Tehran
Neurotechnology platform
01 / RESEARCH & INTERESTS
Brains, signals
and interaction.
My work asks how we can build neural interfaces that are useful to people, grounded in signal processing and thoughtful about the limits of machine learning.
Motor imagery
Subject-independent decoding, model comparisons and the signal features that may help BCI systems generalize across people.
Imagined speech
Exploring non-invasive neural signals for silent communication, with care around signal quality and what a model can establish.
Human–computer interaction
Human-centered neurotechnology: how adaptive systems should respond to context, people and uncertainty.
02 / SELECTED WORK
Research in practice.
Systems for people.
FOUNDER · CEO · CHIEF ARCHITECT
SyncNeurons
Leading platform strategy and core neural-network architecture, with a focus on real-time EEG processing, explainable AI and zero-trust data architecture.
Explore SyncNeurons ↗WHITE TREE INTERNATIONAL ACADEMY
Automated EEG analysis
Built an Emotiv EEG analysis and reporting workflow with signal processing, machine learning, Python backend and interactive dashboard.
Project details ↗↔
LEARN
DESIGN · SOFTWARE · ANALYTICS
Cognitive assessment games
Designed interactive memory, attention and reaction-time games with Python-based performance analysis and reports.
Project details ↗ⓘ Applied projects are described by scope and implementation; they are not presented as clinically validated diagnostic tools.
03 / SCHOLARLY WORK
Three papers.
Accurate status.
The list reflects current manuscript stages. The imagined-speech paper is still in preparation and has not been submitted.
A Comparative Study on Convolutional and Transformer Architectures for Subject-Independent Motor Imagery Decoding
Armin Abdollahi, Maliheh Sabeti, Reza Boostani
Journal of Neuroscience Methods · ElsevierNSG-Net; A Neurospectral-Graph Network for Imagined Speech Decoding and Few-Shot Personalization
Sarina Kasaiyan, Armin Abdollahi, Maliheh Sabeti, Reza Boostani, Saeid Sanei
Planned submission: Expert Systems with Applications · ElsevierBone Age Estimation Through Hand X-Ray Analysis with Visual Transformer Model
Armin Abdollahi, Maliheh Sabeti, Reza Boostani
International Conference on Medicine and Artificial Intelligence in Health Promotion · Germany04 / EXPERIENCE & EDUCATION
Software roots.
Neural questions.
Engineering foundations meet applied AI and biosignal work—connecting models, data pipelines and human-facing systems.
ARMIN ABDOLLAHI · BCI / EEG / AIAI Programmer & Signal Processing Specialist
White Tree International AcademyDeveloping and deploying AI systems for NeuroAI and EEG/biosignal work, from data analysis and ML pipelines to backend integration.
M.Sc. Artificial Intelligence
University of TehranGraduated with distinction. Thesis: transformer-based deep learning models for brain–computer interfaces. Defense score: 20/20.
B.Sc. Software Engineering
University of TabrizSoftware engineering foundations and applied development projects.
NEXT CHAPTER / PHD APPLICATIONS
Let’s make neural
interaction more human.
I’m interested in PhD opportunities in BCI, EEG and HCI. If your group is exploring neural interfaces or human-centered neurotechnology, I’d be glad to connect.
Start a conversation ↗