About Me#
I am an AI systems researcher and recent Computer Science graduate (Islamic Azad University, Central Tehran Branch) working at the intersection of efficient deep learning and computational neuroscience. I am currently seeking a research-intensive postgraduate program.
Research Interests#
My work focuses on making modern neural architectures faster and applying them to scientific problems:
- Efficient deep learning: GPU-optimized kernels, tensor computing frameworks, and performance engineering for transformer workloads
- Multimodal transformers: cross-modal attention and positional encoding strategies for heterogeneous data
- Brain state decoding: deep learning on neuroimaging data (structural MRI, EEG), including medical image analysis for brain tumor detection
- Reproducible research: careful experimental design, benchmarking, and clear scientific communication
Background#
As a research assistant at Islamic Azad University (2023–2024), I led a first-author project on transformer-based brain state decoding from structural MRI, worked on CNN-based brain tumor detection, and mentored three undergraduate researchers. I also served as a teaching assistant for Advanced Programming. See my CV for the full record.
Contact#
For academic or research-related inquiries:
- Email: danialj999@gmail.com
- LinkedIn: linkedin.com/in/danial-jafarzadeh
- GitHub: github.com/Danialjfz
- Explore my publications, projects, and technical writing for further context