Qinghua Li
Research Scientist
Staff Researcher
Upstream record may be merged OpenAlex, the source of these figures, lists 104 institutions in 10 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Qinghua Li is a researcher at the University of Arkansas at Fayetteville. His work encompasses several distinct areas, including membrane technology for CO2 capture and reverse osmosis membranes with anti-scaling properties. Li has also investigated Wi-Fi sensing based on IEEE 802.11bf and developed a novel heterogeneous network for modeling driver attention.
Further research interests include the application of environmental DNA (eDNA) metabarcoding for monitoring fish diversity in river systems, particularly in areas impacted by hydropower. Li has also explored methods for enhancing soil nitrogen retention capacity through biochar incorporation in agricultural settings. His scholarship metrics include an h-index of 34, with 274 total publications and 5,344 total citations. He has served as PI on two federal grants from the NSF, totaling $575,000, for work on infrastructure trustworthiness in energy systems and automated software security vulnerability management.
Li collaborates with several researchers at the University of Arkansas at Fayetteville, including Marie Louise Uwibambe and Kylie McClanahan, with whom he has co-authored multiple publications.
Metrics
- h-index: 34
- Publications: 274
- Citations: 5,344
Selected Publications
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InVue: Inferring Vulnerabilities from Encrypted Web Traffic (2025)
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CAPTure: Classifying APT Stages and Techniques via Graph-Enhanced Network Flow Representations (2025)
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Non-Linear Polynomial Approximations of the Sigmoid for Plain and Encrypted Models (2025)
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Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments (2025)
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Twitter-Based OSINT for Cyber Event Analytics (2025)
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A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing (2025)
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Safeguarding Industrial Automation: A Fuzzing Framework for PLC Control Logic (2025)
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POP-FA: Paillier and Order-Preserving encryption-based Facial Authentication (2024)
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Towards Automatically Matching Security Advisories to CPEs: String Similarity-based Vendor Matching (2024)
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When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly (2024)
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TraceMonitor: A Novel AI-Based Chrome Extension to Enhance User Awareness of Privacy Leakage towards Green Web Browsing (2024)
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Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices (2023)
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CVSS Base Score Prediction Using an Optimized Machine Learning Scheme (2023)
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Detection and Localization of Data Forgery Attacks in Automatic Generation Control (2023)
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Privacy Protection Against Shoulder Surfing in Mobile Environments (2023)
Federal Grants 3 $669,998 total
I-Corps: Automated Software Security Vulnerability and Patch Management
Collaboration Network
Top Collaborators
- AI-based Cyber Event OSINT via Twitter Data
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Towards Automatically Matching Security Advisories to CPEs: String Similarity-based Vendor Matching
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- Twitter-Based OSINT for Cyber Event Analytics
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices
- A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- Safeguarding Industrial Automation: A Fuzzing Framework for PLC Control Logic
- Security Vulnerability and Mitigation in Photovoltaic Systems
- Detection and Localization of Data Forgery Attacks in Automatic Generation Control
- POP-FA: Paillier and Order-Preserving encryption-based Facial Authentication
- AI-based Cyber Event OSINT via Twitter Data
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
- Twitter-Based OSINT for Cyber Event Analytics
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- TraceMonitor: A Novel AI-Based Chrome Extension to Enhance User Awareness of Privacy Leakage towards Green Web Browsing
- Privacy Protection Against Shoulder Surfing in Mobile Environments
- POP-FA: Paillier and Order-Preserving encryption-based Facial Authentication
- InVue: Inferring Vulnerabilities from Encrypted Web Traffic
- A Framework for Personalized Location Privacy
- A Framework for Personalized Location Privacy
- A Framework for Personalized Location Privacy
- A Framework for Personalized Location Privacy
- Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming
- Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming
- Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming
- Security Vulnerability and Mitigation in Photovoltaic Systems
- Security Vulnerability and Mitigation in Photovoltaic Systems
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