Suhaib Kh. Hamed
Center for Center for Software Technology and Management, Faculty of Computer Science and Information Technology · Center for Center for Software Technology and Management
Biography
SUHAIB KH. HAMED is currently a Ph.D. candidate in the Center for Software Technology and Management (SOFTAM), Faculty of Information Science and Technology (FTSM), Universiti Kebangsaan Malaysia (UKM). His expertise is Deep Learning, Supervised Learning, Classification, Feature Extraction, Data Fusion, Natural Language Processing, Image Processing, Sentiment Analysis, and Ontology. He received a master's degree from the Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology (FTSM), Universiti Kebangsaan Malaysia (UKM) in 2016. He is also a researcher with the Sentiment Analysis Lab, CAIT. In administration, he was the head of the IT Department, Baghdad Electricity Distribution, 2019-2020.
Recent Scopus Publications
- Enhanced Feature Representation for Multimodal Fake News Detection Using Localized Fine-Tuning of Improved BERT and VGG-19 Models
- A data augmentation approach based on various GAN models to address class imbalance in fine-grained multimodal fake news datasets
- Improving Data Fusion for Fake News Detection: A Hybrid Fusion Approach for Unimodal and Multimodal Data
- A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion
- Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users’ Comments
Links
- ORCID https://orcid.org/0000-0002-4527-8909
- Google Scholar https://scholar.google.com/citations?user=VMPK9hIAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57189371812