Seyed Amin Pouriyeh

Orcid: 0000-0002-5746-2914

According to our database1, Seyed Amin Pouriyeh authored at least 43 papers between 2009 and 2024.

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Bibliography

2024
A Decentralized Communication-Efficient Federated Analytics Framework for Connected Vehicles.
IEEE Trans. Veh. Technol., July, 2024

Exploring privacy measurement in federated learning.
J. Supercomput., May, 2024

Efficient and Secure Blockchain Consensus Algorithm for Heterogeneous Industrial Internet of Things Nodes Based on Double-DAG.
IEEE Trans. Ind. Informatics, April, 2024

Stress Detection Using Multimodal Physiological Signals With Machine Learning From Wearable Devices.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

Personalized Pedagogy Through a LLM-Based Recommender System.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review.
CoRR, 2023

Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey.
CoRR, 2023

Blockchain Education: Current State, Limitations, Career Scope, Challenges, and Future Directions.
CoRR, 2023

Exploring the Role of ChatGPT in Education: Applications and Challenges.
Proceedings of the 24th Annual Conference on Information Technology Education, 2023

Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Early Heart Disease Detection Using Mel-Spectrograms and Deep Learning.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Intrusion Detection System for IoHT Devices using Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems.
IEEE Syst. J., 2022

Communication-Efficient Semihierarchical Federated Analytics in IoT Networks.
IEEE Internet Things J., 2022

Federated-Learning-Based Anomaly Detection for IoT Security Attacks.
IEEE Internet Things J., 2022

Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review.
ACM Trans. Comput. Heal., 2022

A Secured Certificateless Sign-encrypted Blockchain Communication for Intelligent Transport System.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

CloudFL: A Zero-Touch Federated Learning Framework for Privacy-aware Sensor Cloud.
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance.
J. Biomed. Informatics, 2021

A survey on security and privacy of federated learning.
Future Gener. Comput. Syst., 2021

Communication Efficiency in Federated Learning: Achievements and Challenges.
CoRR, 2021

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep.
CoRR, 2021

An Ensemble Multi-View Federated Learning Intrusion Detection for IoT.
IEEE Access, 2021

Using Machine Learning Techniques to Predict RT- PCR Results for COVID-19 Patients.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Automatic Face Mask Detection Using Deep Learning.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Detecting Network Attacks using Federated Learning for IoT Devices.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

COVID-19 Mortality Prediction Using Machine Learning Techniques.
Proceedings of the IEEE International Conference on Digital Health, 2021

2020
Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.
J. Heal. Informatics Res., 2020

Integrating Blockchain Technology into Healthcare.
Proceedings of the 2020 ACM Southeast Conference, 2020

2019
Combining semantic graph and probabilistic topic models for discovering coherent topics.
Web Intell., 2019

Ontology Summarization: Graph-Based Methods and Beyond.
Int. J. Semantic Comput., 2019

R-LDA: Profiling RDF Datasets Using Knowledge-Based Topic Modeling.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

2018
Graph-based Ontology Summarization: A Survey.
CoRR, 2018

A Comprehensive Survey of Ontology Summarization: Measures and Methods.
CoRR, 2018

Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Efficient Processing of Range Queries over Distributed Relational Databases.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Graph-Based Methods for Ontology Summarization: A Survey.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques.
CoRR, 2017

Text Summarization Techniques: A Brief Survey.
CoRR, 2017

A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

ES-LDA: Entity Summarization using Knowledge-based Topic Modeling.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2010
Secure Mobile Approaches Using Web Services.
Proceedings of the 2010 International Conference on Semantic Web & Web Services, 2010

2009
Secure SMS Banking Based On Web Services.
Proceedings of the 2009 International Conference on Semantic Web & Web Services, 2009


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