Hi, I'm Iman
AI, BCI & Computational Neuroscience
I'm a Master's student in Artificial Intelligence, leveraging my background in Electronics Engineering to build technologies that can profoundly impact people's lives.
About Me
Bridging Minds and Machines
With a Bachelor's degree in Electronics Engineering and five years of experience at a company producing ECT devices, I've developed a deep appreciation for the intersection of technology and human well-being. This journey has led me to pursue a Master's in Artificial Intelligence, with a focus on my true passions: Brain-Computer Interfaces (BCI) and Computational Neuroscience.
My mission is to develop assistive technologies that empower individuals and improve their quality of life. I believe that by understanding the brain's complex mechanisms, we can create more intuitive and effective AI-driven solutions. I am driven by the challenge of translating complex neural signals into actionable commands and insights.
When I'm not studying or working on projects, I enjoy staying current with the latest research in neuroscience and exploring how new AI models can be applied to this fascinating field.
Research Interests
Brain-Computer Interfaces (BCI)
Developing and improving interfaces that translate neural signals into commands for external devices, with a focus on assistive applications for communication and control.
Computational Neuroscience
Using mathematical and computational models to understand the principles that govern the brain's structure, processing, and physiological functions.
Neural Signal Processing
Applying advanced signal processing techniques to denoise and decode complex EEG/ECoG data, aiming to extract meaningful features for real-time applications.
AI for Assistive Technology
Leveraging machine learning and deep learning models to create intelligent systems that enhance human capabilities and improve quality of life for people with disabilities.
Closed-Loop Neuromodulation
Designing systems that record neural activity and deliver targeted electrical or magnetic stimulation in real-time to treat neurological disorders, adapting therapy based on brain state.
Neuromorphic Engineering
Creating brain-inspired hardware and computing architectures that mimic the low-power, parallel processing of biological neural networks for more efficient AI and BCI systems.
My Projects
EEG Motor Imagery Classification
Region-Level Feature Extraction and Common Spatial Patterns (CSP) for EEG motor imagery classification, using a custom deep learning model.
View on GitHubSignal Processing Toolkit
A modular Python toolkit for Brain-Computer Interface (BCI) EEG signal preprocessing.
View on GitHubMy Skills
Get In Touch
I'm always open to discussing new projects, research collaborations, or opportunities to apply my skills. Let's connect!