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Posts by Collection
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publications
Transformer-based Deep Learning for Imagined Speech Decoding using KARA ONE Dataset
Published in Master’s Thesis - Azad University (Grade: 20/20), 2025
This research presents a novel Transformer architecture to decode imagined speech from EEG signals, achieving significant improvements over baseline CNN models.
Bone Age Estimation Through Hand X-Ray Analysis with Visual Transformer Model
Published in International Conference on Medicine and Artificial Intelligence, 2025
This paper presents an automated approach using a Vision Transformer (ViT) model to improve the accuracy of bone age prediction from hand X-ray images, achieving a Mean Absolute Error of 3.2 months.
Brain-Computer Interface (BCI): Research A State-of-the-Art Summary 12 — Persian Translation
Published in Shaparak Publishing (Persian Edition) / Springer (Original), 2025
Official Persian translation of the seminal BCI research series (Volume 12). This work bridges neuroscience and AI, making advanced BCI knowledge accessible to the Persian-speaking academic community.
The Illusion of Accuracy in Rehabilitation BCI: Beyond CNN Artifacts
Published in Journal of Neural Engineering (Under Review / Decision Pending), 2026
An investigation into how CNNs often learn artifacts instead of true neural intent, and how Transformer models provide a more robust solution for rehabilitation BCI.
The Illusion of Accuracy in Rehabilitation BCI: Ensuring Robust Neural Feature Learning
Published in Journal of Neural Engineering (Under Review), 2026
A critical study on the robustness of BCI models, proving that Transformers learn true neural intent while CNNs often rely on ocular or muscular artifacts.
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Image Processing
Master's course, Azad University, Tehran North Branch, Department of Electrical and Computer Science, 2023
Instructor: Prof. Maliheh Sabeti
Signal Processing (Master’s Course)
Teaching Assistant, Azad University, Tehran North Branch, 2023
In this course, I supported graduate students in mastering neural signal processing techniques.
The Series of Artificial Intelligence Webinars
Series of AI Webinars, Azad University, Tehran North Branch, Department of Electrical and Computer Science, 2024
Speakers:
- First Speaker: Prof. Maliheh Sabeti
- Second Speaker: Engineer Armin Abdollahi