Our research in the Data science area focuses on large-scale data processing and analysis using scalable data analytics frameworks, machine learning, and information visualization. The application areas of the research include smart grids and social media.
Faculty Members:
Primary:
Saleh Alhazbi (Data Analytics)
Abdelaziz Bouras (Data Management)
Tamer Elsayed (Social Computing, Big Data)
Qutaibah Malluhi (Data Management, Big Data)
Junaid Qadir (Social Computing)
Saeed Salem (Data Mining)
Secondary:
Abdulaziz Al-Ali (Data Mining)
Cagatay Catal (Data Analytics)
Abdelkarim Erradi (Data Analytics, Big Data)
Khaled Shaban (Data Mining, Data Analytics)
Related Projects
NPRP11S-1204-170060: Early Detection of Fake News over Arabic Social Media
NPRP7-1313-1-245: Efficient and Scalable Evaluation for Searching Massive Arabic Social Media and Web Collections
NPRP6-1377-1-257: Answering Real-time Questions from Arabic Social Media
NPRP6-711-2-295: Enabling Self-Healing for Smart Grid with Renewable Energy Resources
NPRP5-044-2-016: Asset Management for Power Transformers in Smart Grid
NPRP4-1534-1-247: Scientific Data Management in the Cloud
NPRP14S-0402-210127: Dimension-Specific Automated Scoring of Arabic Language Writing Proficiency