Elhamod, M., Zhang, R. (2025). “Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics”,

Elhamod, M., Karpatne, A. (2024). “Neuro-visualizer: a novel auto-encoder-based loss landscape visualization method with an application in knowledge-guided machine learning”,

Lynch, S., Ghosh, A., LaMountain, J., Podolskiy, V., Bu, J., Elhamod, M., Karpatne, A., Lee, W. (2024). “Learning faster and better: embedding Maxwell equations into machine learning”, Metamaterials XIV 10-10

Elhamod, M., Khurana, M., Manogaran, H., Uyeda, J., Balk, M., Dahdul, W., Bakis, Y., Bart, H., Mabee, P., Lapp, H., Balhoff, J., Charpentier, C., Carlyn, D., Chao, W., Stewart, C., Rubenstein, D., Berger-Wolf, T., Karpatne, A. (2023). “Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks”, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 3966-3978

Elhamod, M., Bu, J., Singh, C., Redell, M., Ghosh, A., Podolskiy, V., Lee, W., Karpatne, A. (2022). “CoPhy -PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems”, ACM Transactions on Intelligent Systems and Technology, 13 (6), 1-23

Ghosh, A., Elhamod, M., Bu, J., Lee, W., Karpatne, A., Podolskiy, V. (2022). “Physics-Informed Machine Learning for Optical Modes in Composites”, Advanced Photonics Research, 3 (11)

Podolskiy, V., Ghosh, A., Elhamod, M., Bu, J., Lee, W., Karpatne, A. (2022). “Science-informed machine-learning for optical composites (Conference Presentation)”, Metamaterials, Metadevices, and Metasystems 2022 33-33

Elhamod, M., Diamond, K., Maga, A., Bakis, Y., Bart, H., Mabee, P., Dahdul, W., Leipzig, J., Greenberg, J., Avants, B., Karpatne, A. (2022). “Hierarchy-guided neural network for species classification”, Methods in Ecology and Evolution, 13 (3), 642-652

Ghosh, A., Elhamod, M., Bu, J., Lee, W., Karpatne, A., Podolskiy, V. (2022). “Physics-Informed Machine Learning of Optical Modes in Composites”, Conference on Lasers and Electro-Optics FTu1B.1-FTu1B.1

Ghosh, A., Elhamod, M., Bu, J., Lee, W., Karpatne, A., Podolskiy, V. (2021). “Physics-guided machine learning for Maxwell’s equations”, Metamaterials, Metadevices, and Metasystems 2021 89-89

Leipzig, J., Bakis, Y., Wang, X., Elhamod, M., Diamond, K., Dahdul, W., Karpatne, A., Maga, M., Mabee, P., Bart, H., Greenberg, J. (2021). “Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species”, Springer International Publishing 3-12

Elhamod, M., Levine, M. (2013). “Automated Real-Time Detection of Potentially Suspicious Behavior in Public Transport Areas”, IEEE Transactions on Intelligent Transportation Systems, 14 (2), 688-699

Elhamod, M., Levine, M. (2012). “Real-Time Semantics-Based Detection of Suspicious Activities in Public Spaces”, 2012 Ninth Conference on Computer and Robot Vision 268-275