EDBT 2026 Demo / reviewers in the wild / expert
Golnaz Aghaee Ghazvini
dblp:268/6636
· DBLP profile ↗
4ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0002-6525-1463ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A hybrid method based on optimized ensemble classifier using genetic algorithm and novel embedded feature extraction based on BERT for detecting fake news in social media
Kareem Awad Dawood, Golnaz Aghaee Ghazvini, Fariba Majidi, Ali Albu-Rghaif |
J. Supercomput. | 2 |
| 2023 | CNN-RDM: a new image processing model for improving the structure of deep learning based on representational dissimilarity matrix
Zahra Heydaran Daroogheh Amnyieh, Seyed Mohammad Jalal Rastegar Fatemi, Maryam Rastgarpour, Golnaz Aghaee Ghazvini |
J. Supercomput. | 4 |
| 2021 | A new multi-level trust management framework (MLTM) for solving the invalidity and sparse problems of user feedback ratings in cloud environments
Golnaz Aghaee Ghazvini, Mehran Mohsenzadeh, Ramin Nasiri, Amir Masoud Rahmani |
J. Supercomput. | 1 |
| 2020 | MMLT: A mutual multilevel trust framework based on trusted third parties in multicloud environmentsabstractSummary In this article, a mutual multilevel trust framework is proposed, which involves managing trust from the perspective of cloud users (CUs) and cloud service providers (CSPs) in a multicloud environment based on a set of trusted third parties (TTPs). These independent agents are trusted by CUs and CSPs and distributed on different clouds. The TTPs evaluate the CUs' trustworthiness based on the accuracy of feedback ratings and assess the CSPs' trustworthiness based on the quality of service monitoring information. They are connected themselves through the trusted release network, which enables a TTP to obtain trust information about CSPs and CUs from other clouds. With the objective of developing an effective trust management framework, a new approach has been provided to improve trust‐based interactions, that is, able to rank the trusted cloud services (CSs) based on CU's priorities via fuzzy logic. Fuzzy logic is applied to manage the different priorities of CUs, all the CUs do not have the same priorities to use trusted CSs. Customizing service ranking allows CUs to apply trusted CSs based on their priorities. Experiments on real datasets well matched the analytical results, indicating that our proposed approach is effective and outperforms the existing approaches. Golnaz Aghaee Ghazvini, Mehran Mohsenzadeh, Ramin Nasiri, Amir Masoud Rahmani |
Softw. Pract. Exp. | 1 |