Rami Mohammed Alroobi
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Role not yet determined Is this you? Add your title
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Rami Mohammed Alroobi's research focuses on computational biology and the analysis of biological networks. His work has involved identifying key molecular processes in biological transitions, such as the diapause to post-diapause quiescence transition in the alfalfa leafcutting bee, using comparative transcriptome analysis. Alroobi has also investigated methods for discovering communities and patterns within social and biological networks, integrating gene profile data and network topology. His publications include work on discovering dysregulated phenotype-related gene patterns and mining maximal cohesive induced subnetworks. He has collaborated with Corey N. White at Southern Arkansas University on shared publications.
Metrics
- Publications: 2
Selected Publications
-
Robust Diabetic Retinopathy Grading via Energy-Based Margin Learning (2026)
-
Effect of the Kullback-Leibler Prior on Latent Space Structure in Breast Ultrasound Representation Learning (2026)
-
Accelerated Policy Convergence via Knowledge Dissemination and Computational Optimization (2025)
-
Partially Guided Reinforcement Learning Approach of Reward Adjustment for Dissecting Networks (2025)
-
Discovering Interesting Biological Patterns in the Context of Human Protein-Protein Interaction Network and Gene Disease Profile Data (2017)
Collaboration Network
Top Collaborators
- Effect of the Kullback-Leibler Prior on Latent Space Structure in Breast Ultrasound Representation Learning
- Robust Diabetic Retinopathy Grading via Energy-Based Margin Learning
- Discovering Interesting Biological Patterns in the Context of Human Protein-Protein Interaction Network and Gene Disease Profile Data
- Partially Guided Reinforcement Learning Approach of Reward Adjustment for Dissecting Networks
- Partially Guided Reinforcement Learning Approach of Reward Adjustment for Dissecting Networks
- Accelerated Policy Convergence via Knowledge Dissemination and Computational Optimization
- Robust Diabetic Retinopathy Grading via Energy-Based Margin Learning
Similar Researchers
Based on overlapping research topics