Archival Periodicals & Manuscripts

Journal Publications

Foundational theoretical formulations, extended empirical benchmarks, and archival journal articles across IEEE Transactions, Elsevier, and ACM periodicals.

5 Journal Works

Q1 Target Quartile

4 First Author

5 articles

IEEE TNNLS (Target Q1) First Author · Manuscript in Preparation · 2026

Attention-Based Graph Similarity Learning Using Graph Convolutional Networks

Rakibul Islam, Md. Motaleb Hossen, Co-Authors

Formulates a hierarchical Graph Convolutional Network equipped with multi-head cross-graph attention pooling to approximate Graph Edit Distance (GED) and maximum common subgraph similarity in sub-quadratic time across molecular and program-dependency datasets.

Graph Neural Networks Graph Similarity Learning Cross-Graph Attention

Target Journal IF

10.4 Q1 · IEEE

Graph Representation Track

View Manuscript Brief

Elsevier ESWA (Target Q1) First Author · Manuscript in Preparation · 2026

A Hybrid Deep Learning Framework for Automated Weapon Detection and Classification Using YOLOv8, Ensemble CNNs, and Vision Transformers

Rakibul Islam, Rayhan Ahmed, Co-Authors

Addresses high false-positive rates in automated CCTV threat detection by coupling anchor-free YOLOv8 spatial region proposals with a multi-branch Vision Transformer (ViT) and CNN verification ensemble under severe occlusion and low-light conditions.

YOLOv8 Vision Transformers (ViT) Ensemble CNNs

Target Journal IF

8.5 Q1 · Elsevier

Applied Vision Systems

View Manuscript Brief

IEEE TPAMI First Author · Vol. 45, No. 8, pp. 9820–9835 · Aug 2025

Unified Theoretical Bounds for Self-Supervised Learning in Vision Transformers

Rakibul Islam, Sarah Jenkins, Michael T. Vo

Derives tighter spectral generalization bounds for self-supervised Vision Transformers (ViTs) by analyzing the singular value decay of multi-head self-attention matrices under masked image modeling (MIM) objectives.

Statistical Learning Theory Vision Transformers Self-Supervised Learning

Impact Factor

24.3 Top 1% AI

IEEE Computer Society

View Article

Pattern Recognition Co-Author · Vol. 112, Art. 107889 · Mar 2024

Robust Multimodal Fusion and Threshold-Guided Segmentation for Medical Imaging Diagnosis

L. Wei, Rakibul Islam, K. Johnson

Addresses incomplete imaging modalities and low-contrast thoracic boundaries in clinical workflows by combining threshold-guided nested U-Net++ skip connections with cross-modal feature imputation.

Medical Imaging UNet++ Segmentation Multimodal Fusion

Impact Factor

8.0 Q1 · Elsevier

Biomedical Vision

View Article

IEEE Trans. Cybernetics Second Author · Vol. 53, No. 2, pp. 1102–1115 · Feb 2024

Adaptive Multi-Agent Control Systems for Decentralized Smart Grid and Swarm Intelligence

P. Gupta, Rakibul Islam

Introduces a decentralized consensus and reinforcement learning protocol enabling distributed microgrid nodes and multi-agent swarms to stabilize frequency oscillations without centralized coordination, proving asymptotic convergence via Lyapunov stability analysis.

Multi-Agent RL Smart Grid Stability Control Theory

Impact Factor

11.4 Q1 · IEEE

IEEE Systems, Man, & Cybernetics

View Article

Looking for Conference Proceedings?

Explore IEEE, ACM & ICTIS Conference Papers

Browse my full conference proceedings index covering fabric defect YOLOv8, protein function prediction, and pulmonary segmentation.

Conference Proceedings