Hello, I'm Hamed Ghane
A neuroscientist and control engineer exploring the intersection of technology, neuroscience, and AI.
Connect with Me
A neuroscientist and control engineer exploring the intersection of technology, neuroscience, and AI.
Connect with MeAt the intersection of mathematics, control systems, and neuroscience, I bring a unique perspective to artificial intelligence and human cognition. After a decade as an Assistant Professor in Control Engineering, my fascination with the human brain led me to transition into neuroscience, where I now conduct postdoctoral research at the University of Glasgow.
My path from control engineering to neuroscience reflects a natural evolution in understanding complex systems. Starting with spacecraft control systems at AISRC, I progressed to researching chaotic dynamical systems at the Bernoulli Institute, ultimately leading to my current work in computational neuroscience at the University of Glasgow.
My foundation in linear and nonlinear algebra, combined with extensive experience in system modeling, provides unique insights into both neural networks and AI systems. This mathematical rigor enriches my approach to neuroscience research and AI development.
At the University of Glasgow, I integrate control theory with neuroscience, developing sophisticated BCI systems using EEG, EMG, and fMRI. My research focuses on understanding human decision-making processes through computational modeling and AI-enhanced analysis.
Throughout my career, I've demonstrated strong leadership in both academic and research settings. From managing satellite projects to supervising graduate research, I combine technical expertise with effective team leadership to drive innovative solutions.
My academic journey began in control engineering, where I earned a PhD and served as an Assistant Professor for nearly a decade. During my PhD research, I developed a keen interest in chaos theory and its potential connection to human brain disorders such as Parkinson’s and epilepsy. This fascination sparked a desire to bridge the gap between complex systems in engineering and neuroscience.
After years of exploring chaotic dynamical systems and advanced control theories, I delved deeper into computational neuroscience. Attending workshops on brain signal processing further solidified my interest, leading me to participate in a brain-computer interface project. This hands-on experience with EEG data and neurotechnology fueled my enthusiasm for applying engineering principles to neuroscience.
To gain a formal understanding of the brain’s cognitive functions, I pursued a second master’s degree in Brain and Cognition at UPF Barcelona. This experience equipped me with essential knowledge in neuroscience and brain-computer interfaces, paving the way for my current postdoctoral research position at the University of Glasgow. Here, I integrate control theory with neuroscience, focusing on real-time BCI systems to study human decision-making and cognitive processes.