Publications

Selected publications from my current resume.

Selected Papers

These are the papers highlighted in my resume, spanning efficient vision models, MRI prostate cancer analysis, biomedical signal processing, hardware security, and wildfire detection.

Toward Generalizable Deep Learning-Based Peatland Fire Detection via Walsh-Hadamard Transform and Domain Adaptation Under revision at Signal, Image and Video Processing (SVIP), 2026

Hamdan et al.

Developed an efficient Walsh-Hadamard transform-based framework with domain adaptation to improve the generalizability of deep learning-based peatland fire detection.

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Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard-Based Bias Correction and Residual Networks Published in IEEE Engineering in Medicine and Biology Society (EMBC), 2026

Hamdan et al.

Designed a hybrid transform-based pipeline for MRI bias correction and classification, improving cancer detection accuracy by 30%.

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Large-Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification Accepted to IEEE International Conference on Image Processing (ICIP) HydroImaging Workshop, 2026

Hamdan et al.

Introduced a large-scale multimodal wildfire benchmark spanning 7 classes with over 30,000 images per major class, and proposed an efficient Hadamard transform-based feature fusion mechanism for robust wildfire detection.

Paper

Discrete Cosine Transform-Based Decorrelated Attention for Vision Transformers Accepted to International Joint Conference on Artificial Intelligence (IJCAI), 2026

Pan, Hamdan et al.

Developed two DCT-based methods to improve the efficiency and performance of Vision Transformers.

Paper

Real-Time Instantaneous Phase Estimation Using a Deep Dual-Branch Complex Neural Network Published in IEEE Transactions on Biomedical Engineering (TBME), 2025

Hamdan et al.

Proposed a lightweight neural architecture for real-time instantaneous phase estimation of neural oscillations, with FPGA implementation for low-latency deployment.

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Reconfigurable Electromagnetically Unclonable Functions Based on Graphene RF Modulators Published in ACS Nano, 2025

Ren, Sun, De Silva, Pan, Nie, Hamdan et al.

Developed and evaluated diffusion-based adversarial attacks using Denoising Diffusion Probabilistic Models (DDPMs) to assess the security and robustness of electromagnetic PUFs.

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Realistic Aircraft Crash Survivor Path Estimation via A-Star Search Algorithm and Gradient Descent Published in European Signal Processing Conference (EUSIPCO), 2025

Hamdan et al.

Developed a framework for analyzing aircraft crash survivor movement using circuit theory to model connectivity across heterogeneous landscapes.

Paper

Wildfire Detection via Transfer Learning: A Survey Published in Signal, Image and Video Processing (SVIP), 2024

Hong, Hamdan et al.

Surveyed transfer learning approaches for large-scale wildfire detection, highlighting challenges in generalization and dataset bias.

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