Faculty

Institution

Unit

Venue

Dr. Daniel Okunbor

Professor in Computer Science

Fayetteville State University

Affiliations

Lloyd College of Health, Science, and Technology

Department Of Chemistry, Physics, And Materials Science

Department Of Mathematics And Computer Science

Department Of Math And Science

Fayetteville State University

Language Lab

alumni

Dr. Daniel Okunbor is currently serving as a Chemistry, Physics, And Materials Science Professor in Computer Science at Fayetteville State University.

Honors

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Experiences

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Education

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Dr. Daniel Okunbor

Fayetteville State University

Professor in Computer Science

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epidemiology public health biostatistics agricultural economics clinical epidemiology digital health machine learning clinical trials clinical research decision theory digital medicine medical internet research health information science health technology biomedical informatics sustainable production management science health monitoring healthcare big data remote diagnostics patient monitoring smart health nutrient management conceptual framework remote health monitoring nutrient management system fuzzy goal programming sustainable sugarcane production machine intelligence technology information science intelligent computing technological forecasting intelligent systems knowledge discovery data science big data social simulation evolutionary intelligence cyber conflict artificial society global networks business intelligence analytics artificial intelligence complex systems data mining theoretical computer science network science network analysis scientific computing predictive analytics informatics bio-inspired computation theory of computation natural computing computational science information management system science computational social science cybernetics computing education systems engineering information forensics industrial informatics computer security learning analytics memetic computing information technology computational intelligence information security clustering world wide web computer science

Notable Scholarly Works

Notable Federal Grants

Collaborators

Exploring Lfsr-Based Encryption for Dicom Images. (2025)

Generalized Lfsr Stream Ciphers Based on A5/1 Algorithm. Proceedings of ICITS 2025 (2025)

Analysis of Linear Feedback Shift Registers and Chaos-Based Techniques for Image Encryption. Journal of Cyber Security Technology (2024)

A Systematic Review of Social Engineering Attacks Techniques: The Past, Present, and Future. (2024)

Effective Integration of Clustering and Classification or Regression. Machine Learning for Real World Applications (2024)

Effective Integration of Clustering and Classification or Regression Machine Learning Algorithms. Transactions on computer systems and networks (2024)

Survey on Predictive Algorithms to Detect Insider Threat on a Network Using Different Combination of Machine Learning Algorithms. (2024)

Remote Health Monitoring in Clinical Trial Using Machine Learning Techniques: A Conceptual Framework. Health and Technology (2022)

Theresa N. AbiodunDaniel OkunborVictor Chukwudi Osamor

epidemiologymedical internet researchmachine learninghealthcare big dataremote health monitoringsmart healthpublic healthbiomedical informaticsremote diagnosticsclinical trialsbiostatisticshealth monitoringdigital healthconceptual frameworkclinical epidemiologyhealth technologyhealth information sciencepatient monitoringclinical researchdigital medicine

FACEBOOK: Hate It or Love It, but Can You Ignore It? a Comparative Study of Us and India. Journal of Information Science Theory and Practice (2016)

Nutrient Management System for Sustainable Sugarcane Production: An Application of Fuzzy Goal Programming and Decision Theoretic Approach. International Journal of Applied Management Science (2016)

R.K. JanaDinesh K. SharmaDaniel Okunbor

sustainable sugarcane productionnutrient managementsustainable productionagricultural economicsdecision theorynutrient management systemfuzzy goal programmingmanagement science

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Dr. Daniel Okunbor

Professor in Computer Science

Fayetteville State University

Affiliations

Lloyd College of Health, Science, and Technology

Department Of Chemistry, Physics, And Materials Science

Department Of Mathematics And Computer Science

Department Of Math And Science

Fayetteville State University

Language Lab

alumni

Dr. Daniel Okunbor is currently serving as a Chemistry, Physics, And Materials Science Professor in Computer Science at Fayetteville State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dr. Daniel Okunbor

Fayetteville State University

Professor in Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Exploring Lfsr-Based Encryption for Dicom Images. (2025)

Generalized Lfsr Stream Ciphers Based on A5/1 Algorithm. Proceedings of ICITS 2025 (2025)

Analysis of Linear Feedback Shift Registers and Chaos-Based Techniques for Image Encryption. Journal of Cyber Security Technology (2024)

A Systematic Review of Social Engineering Attacks Techniques: The Past, Present, and Future. (2024)

Effective Integration of Clustering and Classification or Regression. Machine Learning for Real World Applications (2024)

Effective Integration of Clustering and Classification or Regression Machine Learning Algorithms. Transactions on computer systems and networks (2024)

Survey on Predictive Algorithms to Detect Insider Threat on a Network Using Different Combination of Machine Learning Algorithms. (2024)

Remote Health Monitoring in Clinical Trial Using Machine Learning Techniques: A Conceptual Framework. Health and Technology (2022)

Theresa N. AbiodunDaniel OkunborVictor Chukwudi Osamor

FACEBOOK: Hate It or Love It, but Can You Ignore It? a Comparative Study of Us and India. Journal of Information Science Theory and Practice (2016)

Nutrient Management System for Sustainable Sugarcane Production: An Application of Fuzzy Goal Programming and Decision Theoretic Approach. International Journal of Applied Management Science (2016)

R.K. JanaDinesh K. SharmaDaniel Okunbor

sustainable sugarcane productionnutrient managementsustainable productionagricultural economicsdecision theorynutrient management systemfuzzy goal programmingmanagement science

1
2
10 / page