Brain-Computer Interface Researcher | Machine Learning Engineer | Innovation Award Winner

Dedicated researcher and developer specializing in Brain-Computer Interfaces and Machine Learning applications in neuroscience. Passionate about bridging the gap between human cognition and computational systems through innovative signal processing and AI methodologies.

Currently focused on developing next-generation BCI systems while advancing expertise in deep learning architectures for biomedical signal analysis.

Primary Focus Areas:

• Brain-Computer Interface Development
• EEG Signal Processing and Analysis
• Neural Signal Decoding Algorithms
• Machine Learning for Biomedical Applications
• Computer Vision in Medical Imaging
• Vital Signs Monitoring Systems

Technical Specializations:

• Deep Learning for Time-Series Analysis
• Real-time Signal Processing
• Feature Extraction from Neural Data
• Pattern Recognition in Biological Signals

• 🥇 Gold Medal - International Invention Competition (2024)
• 🥈 Silver Medal - International Invention Competition (2021, 2023)
• 🎓 Academic Excellence - University Course Completion

• Active contributor to open-source machine learning projects
• Research focus on EEG-based brain-computer interfaces
• Development of novel signal processing algorithms

Python          ████████████ Advanced
Java            █████████    Proficient  
C++             ████████     Proficient
Arduino         ███████      Intermediate
Fortran         ██████       Intermediate

• Deep Learning: TensorFlow, PyTorch
• Computer Vision: OpenCV, Image Processing
• Data Science: NumPy, Pandas, Scikit-learn
• Signal Processing: SciPy, MNE-Python (EEG analysis)

• Version Control: Git, GitHub
• Containerization: Docker
• Cloud Platforms: AWS
• Development Environment: Jupyter Notebook, PyCharm, VS Code

Active Research:

• Developing advanced BCI systems for improved human-computer interaction
• Implementing deep learning models for EEG signal classification
• Exploring novel approaches to neural signal decoding

Collaboration Opportunities:

• Machine Learning projects in healthcare and neuroscience
• EEG data analysis and BCI development
• Signal processing algorithm optimization
• Open-source contributions to neurotechnology

"Committed to continuous learning and growth, approaching complex challenges with systematic thinking and innovative solutions. Dedicated to advancing the field of brain-computer interfaces while maintaining the highest standards of research integrity and collaborative excellence."

Professional Networking:

• Kaggle: @baaabaei
• Telegram: @baaabaei

Open to:

• Research collaborations in neurotechnology and machine learning
• Technical discussions on BCI development
• Open-source project contributions
• Knowledge sharing in EEG analysis and signal processing