Scholar
Sina Tabakhi
Google Scholar ID: G6JSFp8AAAAJ
Doctoral Researcher, School of Computer Science, University of Sheffield
Citations & Impact
Citations
573
H-index
5
i10-index
4
Publications
14
Co-authors
9
list available
Publications
Resume (English only)
Background
- Fourth-year PhD student in the School of Computer Science at the University of Sheffield, member of the Machine Learning Research Group
- Research interests: Multimodal Learning for Multiomics, Graph Neural Networks, Knowledge Graphs, Dimensionality Reduction through Feature Selection
- Aims to leverage deep learning—especially graph neural networks—to integrate multimodal health data for accurate life-threatening disease diagnosis
- Developing methods for dimensionality reduction of large-scale data via feature selection
- Lead developer and primary maintainer of the Universal Feature Selection Tool (UniFeat), enabling cross-domain feature selection
- Organizer of the Alan Turing Institute’s interest group on Meta-learning for multimodal data
- Contributor to the Sheffield Data Science and AI Network, supported by the Turing Network Development Award
