User profiles for Mohannad Elhamod
Mohannad ElhamodPhD in Computer Science Verified email at bu.edu Cited by 268 |
Automated real-time detection of potentially suspicious behavior in public transport areas
Detection of suspicious activities in public transport areas using video surveillance has attracted
an increasing level of attention. In general, automated offline video processing systems …
an increasing level of attention. In general, automated offline video processing systems …
CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
… Mohannad Elhamod and Jie Bu contributed equally to this research. This work was
supported by the National Science Foundation via grants 2026710 (for M. … Elhamod et al. …
supported by the National Science Foundation via grants 2026710 (for M. … Elhamod et al. …
Data-to-dashboard: Multi-agent llm framework for insightful visualization in enterprise analytics
R Zhang, M Elhamod - arXiv preprint arXiv:2505.23695, 2025 - arxiv.org
The rapid advancement of LLMs has led to the creation of diverse agentic systems in data
analysis, utilizing LLMs' capabilities to improve insight generation and visualization. In this …
analysis, utilizing LLMs' capabilities to improve insight generation and visualization. In this …
Discovering novel biological traits from images using phylogeny-guided neural networks
Discovering evolutionary traits that are heritable across species on the tree of life (also referred
to as a phylogenetic tree) is of great interest to biologists to understand how organisms …
to as a phylogenetic tree) is of great interest to biologists to understand how organisms …
Hierarchy‐guided neural network for species classification
Species classification is an important task which is the foundation of industrial, commercial,
ecological and scientific applications involving the study of species distributions, dynamics …
ecological and scientific applications involving the study of species distributions, dynamics …
Neuro-visualizer: A novel auto-encoder-based loss landscape visualization method with an application in knowledge-guided machine learning
M Elhamod, A Karpatne - Forty-first International Conference on …, 2024 - openreview.net
In recent years, there has been a growing interest in visualizing the loss landscape of neural
networks. Linear landscape visualization methods, such as principal component analysis, …
networks. Linear landscape visualization methods, such as principal component analysis, …
Physics‐Informed Machine Learning for Optical Modes in Composites
Herein, example of study of optical modes propagating through spatially periodic
composites is used to demonstrate that embedding physics‐driven constraints into machine‐learning …
composites is used to demonstrate that embedding physics‐driven constraints into machine‐learning …
Real-time semantics-based detection of suspicious activities in public spaces
Behaviour recognition and video understanding are core components of video surveillance
and its real life applications. Recently there has been much effort to devise automated real-…
and its real life applications. Recently there has been much effort to devise automated real-…
Biodiversity image quality metadata augments convolutional neural network classification of fish species
Biodiversity image repositories are crucial sources for training machine learning approaches
to support biological research. Metadata about object (eg image) quality is a putatively …
to support biological research. Metadata about object (eg image) quality is a putatively …
Neuro-Visualizer: An Auto-encoder-based loss landscape visualization method
M Elhamod, A Karpatne - arXiv preprint arXiv:2309.14601, 2023 - arxiv.org
In recent years, there has been a growing interest in visualizing the loss landscape of neural
networks. Linear landscape visualization methods, such as principal component analysis, …
networks. Linear landscape visualization methods, such as principal component analysis, …