Tran Ngoc Phuong
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Apple (Israel) (2023); National Institute Of Hygiene And Epidemiology (2021–2023); Gamax (Hungary) (2019); National Agricultural Research and Innovation Centre (2016); HUN-REN Veterinary Medical Research Institute (2015); Hungarian Astronomical Association (2016)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Tran Ngoc Phuong's research focuses on the epidemiology and characteristics of infectious diseases, particularly leptospirosis, in Vietnam. Her work investigates the prevalence of *Leptospira* infection in both human and animal populations across different geographical and climatic zones within the country. Phuong has published studies examining the associations between agricultural and behavioral factors and the incidence of leptospirosis in humans, as well as the seroprevalence and serovar distribution among healthy individuals. Her research also extends to other public health concerns, including the prevalence of gastroenteritis viruses among hospitalized children during a pilot rotavirus vaccine introduction. Additionally, she has contributed to research on the genetic factors influencing statin effectiveness through meta-analysis. Phuong collaborates with researchers at the University of Arkansas at Little Rock, including Philip Huff and Imraul Emmaka.
Metrics
- h-index: 7
- Publications: 17
- Citations: 115
Selected Publications
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PIPE4EQ: Practical Secure ECG Abnormality Queries by Cloud-Assisted Biosignal Monitoring (2026)
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One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT (2025)
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Practical Inner Product Encryption for Privacy-Preserved Internet-of-Things Applications (2025)
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CFE: Secure Filtered Words in End-to-End Encrypted Messaging System (2024)
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A Privacy-Preserving Cyber Threat Intelligence Sharing System (2024)
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Short paper: Secure Lightweight Computation for Federated N-Gram Language Model (2024)
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Breaking Privacy in Model-Heterogeneous Federated Learning (2024)
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Secure Lightweight Data Communication Between the IoT Devices and Cloud Service (2024)
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Anonymous attribute-based broadcast encryption with hidden multiple access structures (2024)
Collaboration Network
Top Collaborators
- Secure Lightweight Data Communication Between the IoT Devices and Cloud Service
- Short paper: Secure Lightweight Computation for Federated N-Gram Language Model
- CFE: Secure Filtered Words in End-to-End Encrypted Messaging System
- A Privacy-Preserving Cyber Threat Intelligence Sharing System
- CFE: Secure Filtered Words in End-to-End Encrypted Messaging System
- Secure Lightweight Data Communication Between the IoT Devices and Cloud Service
- Breaking Privacy in Model-Heterogeneous Federated Learning
- Breaking Privacy in Model-Heterogeneous Federated Learning
- Breaking Privacy in Model-Heterogeneous Federated Learning
- Breaking Privacy in Model-Heterogeneous Federated Learning
- A Privacy-Preserving Cyber Threat Intelligence Sharing System
- A Privacy-Preserving Cyber Threat Intelligence Sharing System
- CFE: Secure Filtered Words in End-to-End Encrypted Messaging System
- CFE: Secure Filtered Words in End-to-End Encrypted Messaging System
- Practical Inner Product Encryption for Privacy-Preserved Internet-of-Things Applications
- Practical Inner Product Encryption for Privacy-Preserved Internet-of-Things Applications
- One-Shot Secure Aggregation: A Hybrid Cryptographic Protocol for Private Federated Learning in IoT
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