Md. Noman Biswas Sibly
B.Sc. in Electrical and Computer Engineering, RUET
Rajshahi, Bangladesh
I am a final-year B.Sc. student in Electrical and Computer Engineering at Rajshahi University of Engineering & Technology (RUET), Bangladesh. My research sits at the intersection of Trustworthy AI, deep learning, and computer vision, with a focus on building reliable, interpretable AI systems for high-stakes domains such as medical imaging.
My work centres on the reliability of machine learning systems: uncertainty quantification, mechanistic interpretability, and robustness to noisy or shifted inputs. I treat these as general properties of learning systems rather than domain-specific patches. The same questions about calibration, representation quality, and failure detection recur whether the input is a medical scan or a multimodal prompt.
I also have experience in algorithm design and analysis, developed through competitive programming.
I am actively seeking research-oriented graduate opportunities (M.S. / Ph.D.) in intelligent, reliable AI systems. If you are looking for a motivated and research-driven student, feel free to reach out at mdnomanbiswassibly@gmail.com.
Research Interests
- Trustworthy & Explainable AI (XAI)
- Uncertainty Quantification & Reliability Under Distribution Shift
- Mechanistic Interpretability of Neural Networks
- Medical Image Analysis & AI-driven Diagnostics
- Vision–Language Models & Generative AI
- Deep Learning & Computer Vision
- Embedded AI & Edge Inference (TinyML)