Faculty

Institution

Unit

Venue

Liyuan Liu

Saint Joseph's University

Affiliations

Haub School of Business

Center Of Haub Innovation

Department Of Decision And System Sciences

Department Of Decision Sciences

Services Of Department Of Decision And Support

NoneLiyuan Liu is currently serving as a Center Of Haub Innovation faculty at Saint Joseph'S University.

Honors

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Experiences

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Education

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Liyuan Liu

Saint Joseph's University

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computer science data science technology data security information security data privacy internet of things iot security federated learning computer security machine learning blockchain mobile computing computer engineering smart cities mechanism design hardware security cryptography electronics information technology manufacturing technology distributed ledgers welding process information visualization information forensics information management internet economics medical image computing usable privacy advanced manufacturing technologies biomedical informatics sustainable development smart contracts blockchain security blockchain protocols iot system iot challenge trust management architecture security visualization visual data mining visual analytics computational visualization incentive mechanisms iot protocol lightweight authentication mechanism lightweight cryptography lightweight protocol image segmentation medical image analysis intrusion detection systems intrusion tolerance transfer learning iot communication mobile security 6g automated inspection structural identification system identification private information retrieval algorithmic fairness sarcasm detection smart-home environment private blockchain future directions smart healthcare ioht devices hr analytics managerial decisions abnormal activity detection web description

Notable Scholarly Works

Notable Federal Grants

Collaborators

Node Efficient Consensus Algorithm for Topology-Heterogeneous Large-Scale Iiot Based on Multi-Chain Dag. SSRN Electronic Journal (2026)

scalabilitydistributed systemselectrical engineeringnetwork sciencenetwork convergence

Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis. Information (2025)

federated learningmachine learningdata sciencebiomedical informatics

Dynamic Multidimensional Data Privacy Protection Algorithm. (2025)

data privacyprivacy protectiondata securityinformation securitycomputer science

ECOINTEGRITY: AI-Augmented Blockchain Framework for Carbon Footprint Tracking and Incentives in Iot. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (2025)

technologydistributed ledgersblockchainpublic policyinformation technologysustainable developmentinternet of things

Federated Learning in Smart Healthcare: A Survey of Applications, Challenges, and Future Directions. Electronics (2025)

Mohammad NasajpourSeyedamin PouriyehReza M. PariziMeng HanFatemeh MosaiyebzadehLiyuan LiuYixin XieDaniel Macêdo Batista

health informaticsfederated learningelectronicsfuture directionssmart healthcarehealth sciences

An Efficient Segment Anything Model for the Segmentation of Medical Images. Scientific Reports (2024)

image segmentationmedical imagingmedical image computingimage analysisdata sciencemedical image analysis

Data Sharing and Exchanging With Incentive and Optimization: A Survey. Discover Data (2024)

incentive mechanismsmechanism designinternet economicsdata science

Generative AI-Powered Educational Alignment: A Framework for Matching Syllabus Course Topics With Web Description. (2024)

computational linguisticsartificial intelligenceeducationlearning analyticsteaching aiintelligent tutoring systemsweb descriptionlanguageautomated assessmentdata-driven learninglinguisticsai educationnatural language generation

Integrating AI and Chatgpt in Wearable Devices for Enhanced Abnormal Activity Reporting: A Mixture of Experts Approach. (2024)

technologydigital healthwearable technologyhuman-computer interactionhealth monitoringmedical internet researchintelligent user interfacesdata sciencehealth scienceshealth technology

Privacy-Preserving Federated Learning-Based Intrusion Detection System for Ioht Devices. Electronics (2024)

Fatemeh MosaiyebzadehSeyedamin PouriyehMeng HanLiyuan LiuYixin XieLiang ZhaoDaniel Macêdo Batista

intrusion detection systemsmachine learningdata privacycomputer securitycomputer engineeringintrusion toleranceioht devicesinformation technologyelectronicsfederated learningdata securityinformation securityiot securitycomputer sciencehardware security

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Liyuan Liu

Saint Joseph's University

Affiliations

Haub School of Business

Center Of Haub Innovation

Department Of Decision And System Sciences

Department Of Decision Sciences

Services Of Department Of Decision And Support

NoneLiyuan Liu is currently serving as a Center Of Haub Innovation faculty at Saint Joseph'S University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Liyuan Liu

Saint Joseph's University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Node Efficient Consensus Algorithm for Topology-Heterogeneous Large-Scale Iiot Based on Multi-Chain Dag. SSRN Electronic Journal (2026)

scalabilitydistributed systemselectrical engineeringnetwork sciencenetwork convergence

Advances in Application of Federated Machine Learning for Oncology and Cancer Diagnosis. Information (2025)

federated learningmachine learningdata sciencebiomedical informatics

Dynamic Multidimensional Data Privacy Protection Algorithm. (2025)

data privacyprivacy protectiondata securityinformation securitycomputer science

technologydistributed ledgersblockchainpublic policyinformation technologysustainable developmentinternet of things

Federated Learning in Smart Healthcare: A Survey of Applications, Challenges, and Future Directions. Electronics (2025)

Mohammad NasajpourSeyedamin PouriyehReza M. PariziMeng HanFatemeh MosaiyebzadehLiyuan LiuYixin XieDaniel Macêdo Batista

health informaticsfederated learningelectronicsfuture directionssmart healthcarehealth sciences

An Efficient Segment Anything Model for the Segmentation of Medical Images. Scientific Reports (2024)

image segmentationmedical imagingmedical image computingimage analysisdata sciencemedical image analysis

Data Sharing and Exchanging With Incentive and Optimization: A Survey. Discover Data (2024)

incentive mechanismsmechanism designinternet economicsdata science

Generative AI-Powered Educational Alignment: A Framework for Matching Syllabus Course Topics With Web Description. (2024)

Integrating AI and Chatgpt in Wearable Devices for Enhanced Abnormal Activity Reporting: A Mixture of Experts Approach. (2024)

technologydigital healthwearable technologyhuman-computer interactionhealth monitoringmedical internet researchintelligent user interfacesdata sciencehealth scienceshealth technology

Privacy-Preserving Federated Learning-Based Intrusion Detection System for Ioht Devices. Electronics (2024)

Fatemeh MosaiyebzadehSeyedamin PouriyehMeng HanLiyuan LiuYixin XieLiang ZhaoDaniel Macêdo Batista

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2
3
10 / page