Sharif Ullah Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Tenure Track Assistant Professor

University of Central Arkansas

faculty

7 h-index 31 pubs 146 cited

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Biography and Research Information

OverviewAI-generated summary

Sharif Ullah's research focuses on enhancing efficiency and effectiveness across various operational domains, drawing upon mathematical analysis, simulation, and optimization tools. His recent work includes exploring the utilization of Johnson's Algorithm for scheduling efficiency and identifying optimal operation sequences, as well as applying value stream mapping and mathematical analysis for improved cost-effectiveness in production environments. Ullah has also investigated manufacturing excellence through line balancing and optimization tools, employing simulation-based frameworks.

Further research interests extend to cybersecurity, specifically focusing on enhancing efficiency and privacy in malware classification through feature selection and developing AI-driven secure data sharing approaches. His work also touches upon environmental concerns, including a review of drain water pollution potential and control strategies. Ullah holds a h-index of 7 with 31 publications and 146 citations.

Metrics

  • h-index: 7
  • Publications: 31
  • Citations: 146

Selected Publications

  • Privacy-Preserving Secure Framework for Intelligent Transportation Systems (2025) DOI
  • AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach (2025) DOI
  • ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification (2025) DOI
  • Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification (2025) DOI
  • Unmasking Public Perception: A Mixed-Methods Exploration of Social Media Discourse on U.S. Illegal Immigration (2024) DOI
  • TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign (2024) DOI
  • Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection (2023) DOI

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