Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Bright Ojo

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.

Researcher

Also affiliated: Ambrose Alli University (2022–2025)

Unknown Researcher

4 h-index 8 pubs 52 cited

Biography and Research Information

OverviewAI-generated summary

Bright Ojo's research focuses on enhancing the resilience and sustainability of critical infrastructure and supply chains. His work investigates the application of artificial intelligence and machine learning for real-time threat detection in cybersecurity, particularly within critical infrastructure systems. Ojo also studies methods to improve the resilience of these systems against cyber-physical attacks. His research extends to supply chains, exploring their sustainability in the context of natural disasters and climate change, and leveraging the Internet of Things (IoT) for smarter, more resilient urban infrastructure. Additionally, his publications address operational barriers and economic potential in transportation systems, such as high-speed rail, and the mitigation of climate change impacts on food security.

Metrics

  • h-index: 4
  • Publications: 8
  • Citations: 52

Selected Publications

  • Supplier Performance Prediction in Big Data-Driven Smart Supply Chains Using AI-Based Machine Learning Models (2026)
  • Resilience of supply chains for essential goods and services (2024)
    International Journal of Science and Research Archive DOI OpenAlex
  • Smart urban infrastructure: Leveraging IoT for enhanced resilience to climate change (2024)
    International Journal of Science and Research Archive 7 citations DOI OpenAlex
  • Innovative solutions for critical infrastructure resilience against cyber-physical attacks (2024)
    World Journal of Advanced Research and Reviews 16 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

9 Collaborators 7 Institutions 2 Countries

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