Md. Akmol Masud
Graduate Researcher (Deep learning; Computer vision and multimedia computation; Machine learning)
Bangladesh
I am a machine-learning researcher with a strong background in processing and analyzing diverse data modalities to solve real-world challenges. My expertise spans computer vision, quantum machine learning, and semi-supervised learning, where I’ve developed innovative deep learning models and solutions in healthcare diagnostics and particle physics datasets. I love working with data and specialize in uncovering insights from complex datasets using advanced tools. I aim to advance methods that maximize learning from limited data, enabling transformative applications in fields where data scarcity is a critical barrier.
Additional profile links
Publications
- KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection
- Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
- Enhanced Alzheimer's Brain Scan Dataset: Normal and Synthesized
- MosqVision-3K: A Balanced Multi-Source Dataset of 3,000 Annotated Images for Culex, Anopheles, and Aedes Mosquito Species Classification
- Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
- Multi-Layered Password-Based Steganography: A Novel Approach for Tiered Information Hiding
Usage metrics
Co-workers & collaborators
- MY
Mohammad Abu Yousuf
- SA
Sanjida Akter
- NS
Nadia Sultana
- AA
A K M Azad
- SA
Salem A Alyami
- MM
Mohammad Ali Moni