I am a Postdoctoral Researcher at the University of Glasgow, working at the intersection of neuroscience, control engineering, and AI. My expertise blends real-time system modeling, adaptive control, and computational neuroscience, allowing me to develop innovative brain-computer interfaces (BCI) and neurotechnology solutions.
- π¬ Current Research: Developing BCI systems using EEG, EMG, and ECG for sensorimotor decision-making
- π Academic Background:
- Ph.D. in Control Engineering (Nonlinear Dynamics & System Optimization)
- Second Master's in Brain & Cognition
- π§ͺ Research Areas: Neurotechnology, AI, Computational Neuroscience, and AI-Enhanced Neural Data Analysis
- π‘ Passionate About: Advancing LLMs & AI-driven neurotechnology for human-inspired intelligence
- Programming: Python, MATLAB
- Neural Data Analysis: EEG, EMG, ECG
- Machine Learning & AI: Deep Learning, Computational Intelligence, NLP
- Control Systems: Nonlinear Control, System Analysis & Optimization
- Data Science: Statistical Analysis, Data Mining
- Tools & Technologies: Brain-Computer Interfaces, Real-Time Signal Processing
- Brain-Computer Interfaces (BCI) & Cognitive Enhancement
- Neurotechnology & Computational Neuroscience
- Control Theory Applications in Neuroscience
- AI-Driven Neural Data Analysis
- Large Language Models (LLMs) & AI for Neurotechnology
- Human-Inspired AI & Decision-Making Models
- ποΈ Senior Postdoctoral Researcher, University of Glasgow
- π Former Assistant Professor, Control Engineering
- π°οΈ Led Satellite Attitude Determination & Control System Development
- π€ Advanced Research in AI-Driven BCI & Robotics
- π International Research Experience, including University of Groningen
- π§ Email: [email protected]
- π LinkedIn: linkedin.com/in/hamedghane