Kwaku Larrey Enoch
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.
Research Assistant
Also affiliated: COMSATS University Islamabad (2020); University for Development Studies (2020)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Kwaku Larbi Enoch's research focuses on the application of computational modeling and neural networks to study the dynamics of viral infections, specifically herpes simplex virus types 1 and 2. His work investigates how memory influences these viral dynamics, utilizing computer simulations to explore complex interactions. Enoch has published on memory-driven modeling of herpes simplex virus dynamics, incorporating neural network optimization to refine simulation parameters. His scholarship metrics include an h-index of 1 with 3 total publications and 11 citations. He collaborates with researchers from the University of Arkansas at Little Rock and the University of Central Arkansas, with whom he shares publications. Enoch's recent activity indicates ongoing engagement in this research area.
Metrics
- h-index: 1
- Publications: 3
- Citations: 12
Positions
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Research Assistant 2021–presentUniversity of Arkansas at Little Rock Graduate School ORCID
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Research Assistant publications 2025University of Arkansas for Medical Sciences ORCID
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Graduate Student 2021–2026University of Arkansas at Little Rock Department of Information Science ORCID
Selected Publications
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Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization (2025)
Collaboration Network
Top Collaborators
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
- Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization
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