I'm a final-year B.Sc. student in Electrical & Computer Engineering at Rajshahi University of Engineering & Technology (RUET), Bangladesh, and a part-time research assistant at ELITE Research Lab.
My work sits between trustworthy AI, deep learning, and computer vision. The question I keep coming back to is what happens to a model once the data stops being clean. Ultrasound images arrive noisy. Pathology slides shift between scanners. A model that looks accurate on a benchmark can fail quietly on any of that, so I build systems that hold up under those conditions and say something honest about their own uncertainty.
Currently working on mechanistic interpretability of neural networks, and my undergraduate thesis on trustworthy AI in healthcare.
🎓 I'm applying to research-oriented graduate programs (M.S. / Ph.D.) in reliable, interpretable AI. If that fits your group, reach me at mdnomanbiswassibly@gmail.com.
| 🛡️ Trustworthy & explainable AI | 🔍 Mechanistic interpretability |
| 🩻 Medical image analysis under noise | 🧠 Deep learning & computer vision |
| 🖼️ Vision–language models & multimodal reliability | ⚙️ Efficient & embedded ML (TinyML) |
| Role | Where | When |
|---|---|---|
| Research Assistant (part-time, remote) Mechanistic interpretability of neural networks, making predictions explainable |
ELITE Research Lab | 2026 – Present |
| AI & ML Trainee Applied ML, from preprocessing through tuning and evaluation |
BDSET | 2025 – 2026 |
Languages
Deep Learning & ML
Architectures I've trained and debugged end to end: CNNs · U-Net · GANs · Vision Transformers. Also work with LLM fine-tuning, RAG, and verification methods for multimodal systems.
Web & Tooling
