Neurotechnologist • Control Engineer • AI Researcher
My name is Hamed, I am a neuroscientist with a PhD in Control Engineering. I am driven by understanding how the brain works and building intelligent systems that bridge neuroscience and artificial intelligence. Brain-computer interfaces have been the main focus of my research in the last few years, combining real-time neural signal processing with adaptive control systems to create technologies that enhance human capabilities.
Currently, I am a Postdoctoral Researcher at the University of Glasgow, developing BCI systems using EEG, EMG, and ECG for sensorimotor decision-making. My work combines computational neuroscience with machine learning to create intelligent interfaces between mind and machine.
Developing brain-computer interfaces that translate neural signals into actionable commands
Modeling complex neural dynamics and cognitive processes
Applying deep learning to neural data analysis and pattern recognition
Designing adaptive control algorithms for real-time neural signal processing
Nonlinear Dynamics & System Optimization
Computational approaches to understanding neural mechanisms
University of Glasgow & University of Groningen
Exploring the intersection of large language models and neurotechnology • Developing AI-enhanced neural data analysis methods • Creating human-inspired decision-making models