collaborators

15 papers

quant-ph2026

Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets

B. M. Taslimul Haq, Md Arifur Rahman, Tawfiq Al Islam Foysal +2

Privacy-preserving clustering is critical for analyzing sensitive data in healthcare, cybersecurity, and enterprise applications, where maintaining data confidentiality must be bal…

cs.CE2026

Dynamic Image-Informed Selection of Biomechanical Tumor Growth Models

Abdullah Al Noman, Pratyush Kumar Singh, David A Hormuth +1

Glioblastoma progression is strongly influenced by evolving mechanical interactions between the tumor and surrounding brain tissue. However, the extent to which finite-deformation…

cs.CV2026

Pattern Recognition Tasks with Personalized Federated Learning

Md. Arifur Rahman, Isha Das, Mushfiqur Rahman Abir +4

Personalized Federated Learning (PFL) constitutes a novel paradigm that tailors Machine Learning (ML) models to individual clients, thereby furnishing personalized model updates wh…

physics.geo-ph2026

Real-Time Earthquake Magnitude Classification from Initial P-Waves: Models, Dataset, and Comparative Analysis for South Asia

Md Nasiat Hasan Fahim, Md. Abid Ullah Muhib, Rayhanul Amin Tanvir +1

Rapid earthquake magnitude estimation is crucial for effective early warning systems that can save lives and reduce economic damage. In this paper, we present a comprehensive study…

cs.CR2026

CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks

Rakib Hossain Sajib, Md. Rokon Mia, Prodip Kumar Sarker +2

The Internet of Vehicles (IoV) has become an essential component of smart transportation systems, enabling seamless interaction among vehicles and infrastructure. In recent years,…

cs.CV2026

Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

Md. Rokon Mia, Rakib Hossain Sajib, Abdullah Al Noman +2

Early detection of rice leaf diseases is critical, as rice is a staple crop supporting a substantial share of the world's population. Timely identification of these diseases enable…