Biswaranjan Senapati
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
SCIENTISTS
Also affiliated: Suez University (2024); The University of Texas at Arlington (2024); Siksha O Anusandhan University (2025); Parker Hannifin (Germany) (2023–2024); National College of Business Administration and Economics (2024); Parker Hannifin (United States) (2023–2026); Capitol Technology University (2023–2025)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Biswaranjan Senapati's research focuses on the application of artificial intelligence and machine learning techniques to address challenges across various domains. His work includes developing AI frameworks for creating reliable retail systems, such as the "Retail Resilience Engine" utilizing a test-driven development approach. Senapati has also investigated predictive maintenance management systems for industrial manufacturing operations using deep learning, and explored intelligent road management systems designed for diverse vehicle types. In the health sciences, his research has involved using sensor-based approaches with artificial neural networks for heart disease detection and applying transfer learning models for food detection. Senapati has published 55 papers, accumulating 326 citations, and has an h-index of 11. He collaborates with John R. Talburt at the University of Arkansas at Little Rock.
Metrics
- h-index: 11
- Publications: 71
- Citations: 396
Positions
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SCIENTISTS 2018–presentCOEUSS LLC CORP DEPARTMENT OF QUANTUM COMPUTING AND AI ORCID
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AMPLIFYCELLORCID
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SCIENTISTS publications 2024–2026University of Arkansas at Little Rock ORCID
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Solution and Enterprise Architect 2022–2024Parker Hannifin (United States) IT and Development Research Management ORCID
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SENIOR LEAD ARCHITECT 2018–2022Deloitte Consulting LLC Dallas Management and IT management ORCID
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ERP SAP Solution Archietct 2008–2012Capgemini (France) Computing and Information Sciences/ERP SAP ORCID
Selected Publications
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Explainable and Deployment-Aware Zero-Day Intrusion Detection for Cloud-Level Backend and Management Ecosystems in EV/V2X Cyber–Physical Systems (2026)
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TIG-CDO Replication Package: Transaction Intent Graph for Composite Defense Orchestration in Microservices Payment Systems (2026)
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PRESTO: A Machine Learning Framework for Predicting Software System Performance Using SDLC Metrics — Research Compendium (Code, Synthetic Data, and Real-World Validation Adapters) (2026)
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TIG-CDO Replication Package: Transaction Intent Graph for Composite Defense Orchestration in Microservices Payment Systems (2026)
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PRESTO: A Machine Learning Framework for Predicting Software System Performance Using SDLC Metrics — Research Compendium (Code, Synthetic Data, and Real-World Validation Adapters) (2026)
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Cyber risk modeling for oil and gas enterprises using fuzzy cognitive maps (2026)
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Hybrid Architecture for Protected Data Communication Inside the Private Cloud (2026)
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Explainable Retail Demand Forecasting: A Hybrid LightGBM-SHAP Framework for Inventory Optimization (2026)
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FraudFusion: A Multi-Modal Ensemble Framework for Anomaly-Based Fraud Detection in Retail POS Systems (2026)
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Z-test in the Study of Student Engagement in Online Education: Mobile Application and Web Version (2025)
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Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test (2025)
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The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test (2025)
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Correlation and Regression Analysis of Student Grades and Predicting Academic Performance (2025)
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Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning (2025)
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Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning (2025)
Collaboration Network
Top Collaborators
- Evaluating the Effectiveness of Flipped Classrooms Using Linear Regression
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Automatic Generation of an Algebraic Expression for a Boolean Function in the Basis {∧, ∨, ¬}
- Toward the Application of Japanese Candlesticks for Visual Analysis of Student Academic Performance
- Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning
Showing 5 of 14 shared publications
- Correlation and Regression Analysis of Student Grades and Predicting Academic Performance
- Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test
- Fuzzy C-Means: A Fuzzy Approach to Clustering in Educational Contexts
- Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey’s Post-Hoc Test
- The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test
Showing 5 of 6 shared publications
- Correlation and Regression Analysis of Student Grades and Predicting Academic Performance
- Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test
- Fuzzy C-Means: A Fuzzy Approach to Clustering in Educational Contexts
- Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey’s Post-Hoc Test
- The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test
Showing 5 of 6 shared publications
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning
- The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test
- Z-test in the Study of Student Engagement in Online Education: Mobile Application and Web Version
- Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning
- Correlation and Regression Analysis of Student Grades and Predicting Academic Performance
- Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey’s Post-Hoc Test
- Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning
- Retail Resilience Engine: An Agentic AI Framework for Building Reliable Retail Systems With Test-Driven Development Approach
- PRESTO: A Machine Learning Framework for Predicting Software System Performance Using SDLC Metrics — Research Compendium (Code, Synthetic Data, and Real-World Validation Adapters)
- PRESTO: A Machine Learning Framework for Predicting Software System Performance Using SDLC Metrics — Research Compendium (Code, Synthetic Data, and Real-World Validation Adapters)
- Explainable Retail Demand Forecasting: A Hybrid LightGBM-SHAP Framework for Inventory Optimization
- PRESTO: A Machine Learning Framework for Predicting Software System Performance Using SDLC Metrics — Research Compendium (Code, Synthetic Data, and Real-World Validation Adapters)
- PRESTO: A Machine Learning Framework for Predicting Software System Performance Using SDLC Metrics — Research Compendium (Code, Synthetic Data, and Real-World Validation Adapters)
- Hybrid Architecture for Protected Data Communication Inside the Private Cloud
- TIG-CDO Replication Package: Transaction Intent Graph for Composite Defense Orchestration in Microservices Payment Systems
- TIG-CDO Replication Package: Transaction Intent Graph for Composite Defense Orchestration in Microservices Payment Systems
- Automatic Generation of an Algebraic Expression for a Boolean Function in the Basis {∧, ∨, ¬}
- Construction, Validation and Standardization of Mathematical Phobia Scale
- Automatic Generation of an Algebraic Expression for a Boolean Function in the Basis {∧, ∨, ¬}
- Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test
- Automatic Generation of an Algebraic Expression for a Boolean Function in the Basis {∧, ∨, ¬}
- Construction, Validation and Standardization of Mathematical Phobia Scale
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Toward the Application of Japanese Candlesticks for Visual Analysis of Student Academic Performance
- Toward the Application of Japanese Candlesticks for Visual Analysis of Student Academic Performance
- Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Construction, Validation and Standardization of Mathematical Phobia Scale
- TIG-CDO Replication Package: Transaction Intent Graph for Composite Defense Orchestration in Microservices Payment Systems
- TIG-CDO Replication Package: Transaction Intent Graph for Composite Defense Orchestration in Microservices Payment Systems
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