Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
S
Sharif Ullah
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Tenure Track Assistant Professor
Also affiliated: Accenture (United States) (2019); Tennessee State University (2024); Old Dominion University (2018–2020)
5 h-index
20 pubs
90 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sharif Ullah's research focuses on operational excellence and the application of analytical methods to improve efficiency and cost-effectiveness in production environments. He has investigated the utilization of Johnson's algorithm for optimizing scheduling sequences and explored value stream mapping for enhanced profitability. His work also extends to cybersecurity, specifically in the context of power utilities, where he has studied artificial intelligence for threat detection and modeling attacker opportunities to improve cyber resilience.
Ullah's scholarship includes publications on a range of topics, from operational performance optimization and human health risk assessment to environmental pollution control strategies. His academic contributions are reflected in his h-index of 8 and over 175 citations. He has collaborated with Bernard Chen at the University of Central Arkansas on shared publications.
Metrics
- h-index: 5
- Publications: 20
- Citations: 90
Positions
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Tenure Track Assistant Professor 2022–presentUniversity of Central Arkansas Computer Science and Engineering ORCID
Selected Publications
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Quantum-Enhanced Federated Learning via QAOA Feature and Gate Selection with Skew-Symmetric Lipschitz Dynamics (2026)
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Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models (2026)
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Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI (2026)
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Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models (2026)arXiv (Cornell University) OpenAlex
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Multimodal Speech Emotion Recognition in Patient-Clinician Interactions: Sentiment Analysis Leveraging Transformer Models (2025)
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Privacy-Preserving Secure Framework for Intelligent Transportation Systems (2025)
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AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach (2025)
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ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification (2025)
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Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification (2025)
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Unmasking Public Perception: A Mixed-Methods Exploration of Social Media Discourse on U.S. Illegal Immigration (2024)
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TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign (2024)
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Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection (2023)
Collaboration Network
Top Collaborators
Salim Sazzed
Georgia Southern University (US)
2 shared publications
- Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection
- Unmasking Public Perception: A Mixed-Methods Exploration of Social Media Discourse on U.S. Illegal Immigration
Al Amin
Tennessee State University (US)
2 shared publications
- AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
- ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
Kamrul Hasan
Tennessee State University (US)
2 shared publications
- AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
- ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
Valentin Leroy
Centre Hospitalier d'Arras (FR)
2 shared publications
- Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models
- Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models
Shuvalaxmi Dass
University of Louisiana at Lafayette (US)
2 shared publications
- Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models
- Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models
Sachin Shetty
Old Dominion University (US)
1 shared publication
- TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign
Abdul Rahman
Deloitte (United States) (US)
1 shared publication
- TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign
Amin Hass
Accenture (United States) (US)
1 shared publication
- TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign
Xiaoyong Yuan
Clemson University (US)
1 shared publication
- TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign
Mohammad Rashedul Haque
Tennessee State University (US)
1 shared publication
- Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification
K. M. Azharul Hasan
Tennessee State University (US)
1 shared publication
- Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification
Imtiaz Ahmed
Howard University (US)
1 shared publication
- Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification
Md. Tariqul Islam
Syracuse University (US)
1 shared publication
- Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification
Mir Mehedi Ahsan Pritom
Tennessee Technological University (US)
1 shared publication
- Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification
M. Shamim Hossain
King Saud University (SA)
1 shared publication
- ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
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