PEER-REVIEWED PUBLICATIONS - Google Scholar

2026

• (Submitted) Mohammed Aburidi and Yang Zhang. LNPHub: A Multimodal Data Foundation for AI-Driven Lipid Nanoparticle Discovery in Nucleic Acid Therapeutics. Nature Communications, submitted, September 2026.

• Predicting Cancer Cell Line-Drug Responses over Signal Network Profiles via Optimal Transport. A. Li, M. Aburidi , and R. Marcia. ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing, 2026.

2025

• (Submitted) K. R. Wright, M. J. Aburidi , D. E. Rheinheimer, G. F. Dourado, and J. H. Viers, "Water System Simulation Modeling with Hydropower Optimization and Environmental Flows: An Example with Pywr." PLOS Water.

• Interpretable Drug Response Prediction via Optimal Transport-Guided Importance of Drug-Gene Relationships. M. Aburidi . Chem-Bio Informatics Journal, 25, 36-52, 2025.

• Triple Matrix Factorization for Drug-Drug Interaction Prediction Using Fused Gromov-Wasserstein Distances. S. Malone, M. Aburidi , and R. F. Marcia. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2025.

• Deep Unrolled Weighted Low-Rank Approximation for High Dynamic Range Imaging. M. Aburidi and R. Marcia. 2025 Conference on Artificial Intelligence x Multimedia (AIxMM), 19-27, 2025.

• Defending Graph Neural Networks Against Adversarial Attacks via Symmetric Matrix Factorization. M. Aburidi and R. Marcia. 2025 Conference on Artificial Intelligence x Multimedia (AIxMM), 55-61, 2025, doi: 10.1109/AIxMM62960.2025.00016.

2024

• Sarah Malone M. Aburidi and R. Marcia, "Wasserstein-Based Similarity Constrained Matrix Factorization for Drug-Drug Interaction Prediction," 2024 IEEE Workshop on Signal Processing Systems (SiPS), Cambridge, MA, USA, 2024, pp. 49-53, doi: 10.1109/SiPS62058.2024.00017. Online

• M. Aburidi and R. Marcia, "Optimal Transport-Based Network Alignment: Graph Classification of Small Molecule Structure-Activity Relationships in Biology," 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-7, doi: 10.1109/EMBC53108.2024.10782037 Online

• Ronald Nap, M. Aburidi and R. Marcia, "Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability," 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-7, doi: 10.1109/EMBC53108.2024.10782037 Online

• M. Aburidi and R. Marcia, "Adversarial Attack and Training for Graph Convolutional Networks Using Focal Loss-Projected Momentum," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI) Mt Pleasant, MI, USA, 2024, pp. 1-5, doi: 10.1109/ICMI60790.2024.10586025 Online

• M. Aburidi and R. Marcia, "Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning," 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Madrid, Spain, 2024, pp. 1-8, doi: 10.1109/EAIS58494.2024.1056910 Online

• M. Aburidi and R. Marcia, "Optimal Transport Based Graph Kernels for Drug Property Prediction," in IEEE Open Journal of Engineering in Medicine and Biology doi: 10.1109/OJEMB.2024.3480708 Online

• M. Aburidi and R. Marcia, "Wasserstein Distance-Based Graph Kernel for Enhancing Drug Safety and Efficacy Prediction," 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC) , Laguna Hills, CA, USA, 2024, pp. 113-119, doi: 10.1109/AIMHC59811.2024.00029 Online

2023

• M. Aburidi and R. Marcia, "Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images," 2023 International Conference on Machine Learning and Applications (ICMLA) , Jacksonville, FL, USA, 2023, pp. 301-307, doi: 10.1109/ICMLA58977.2023.00049. Online

• Mohammed Aburidi and Roummel Marcia. CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering. Clustering," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 1515-1519, doi: 10.1109/ICIP49359.2023.10222290. Online

• Mohammed Aburidi and Mario Banuelos, Suzanne Sindi, Roummel Marcia. Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent. IEEE International Symposium on Medical Measurements and Applications (MeMeA), Online

2020

• Hang Y Aburidi M and Husain B, Hickman AR, Poehlman WL, Feltus FA. . Exploration into biomarker potential of region-specific brain gene co-expression networks. Scientific Reports, 2020 Oct 13;10(1):17089. Online

2019

• Nolte G Aburidi M and Engel AK. Robust calculation of slopes in detrended fluctuation analysis and its application to envelopes of human alpha rhythms. Scientific Reports, 9:6339. https://doi.org/10.1038/ s41598-019-42732-7. Online

2018

• Nolte G Aburidi M . Stationary Detrended Fluctuation Analysis in the Fourier domain. International Journal of Psychophysiology, 131:S17-S18 DOI: 10.1016/j.ijpsycho.2018.07.055.

• Aburidi, M. J. and Salman, A. Normalized Cumulative Periodogram Method For Tuning A Regularization parameter of The EEG Inverse Problem. The Journal of Middle East and North Africa Sciences, 4(02), 23-32. Online

2016

• Aburidi, M. J. . A Comparative Study of the Regularization Parameter Estimation Methods for the EEG Inverse Problem. Masters Thesis, Online