Mohannad Elhamod

elhamod@vt.edu

Website

Mohannad Elhamod is a Ph.D. student in the Department of Computer Science. He is advised by Anuj Karpatne.

Elhamod's research interest is in machine learning in general, and science-guided machine learning specifically. He is trying to understand how domain-specific knowledge can help improve ML models and especially curious about developing and employing visualization tools for ML interpretability. His projects are multidisciplinary and span a variety of scientific domains, including physics and biology.

Publications

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Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method Date: Sep 25, 2023
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Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks Date: Aug 03, 2023

Projects

In the News

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Congratulations to Sanghani Center's 2023 Spring Graduates , article Date: May 11, 2023
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Class of 2023: Mohannad Elhamod and Alli Rossi-Alvarez named Graduate Students of the Year , article Date: May 09, 2023
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Scientists partner on multi-university grant to establish a field of ‘imageomics’ , article Date: Mar 10, 2022

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Mohannad Elhamod

Publications

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