Neuroscientist • 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, combining real-time neural signal processing with adaptive control systems to create technologies that enhance human capabilities.
AI-generated visualization representing the intersection of neuroscience and technology
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.
Neural Interfaces — Developing brain-computer interfaces that translate neural signals into actionable commands
Computational Neuroscience — Modeling complex neural dynamics and cognitive processes
AI & Machine Learning — Applying deep learning to neural data analysis and pattern recognition
Control Systems — Designing adaptive control algorithms for real-time neural signal processing
Python MATLAB Deep Learning Signal Processing Control Theory Neurotechnology
Ph.D. Control Engineering — Nonlinear Dynamics & System Optimization
M.Sc. Brain & Cognition — Computational approaches to understanding neural mechanisms
Postdoctoral Research — 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
Email • LinkedIn • Research Profile
"At the intersection of minds and machines, we discover the future of human potential"