Scholar
Abdullah Karaaslanlı
Google Scholar ID: TjsAAHsAAAAJ
Postdoc, Michigan State University
Citations & Impact
Citations
78
H-index
5
i10-index
2
Publications
19
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- August 2025: New paper published - 'Learning Graph Filters for Structure-Function Coupling Based Hub Node Identification'. July 2025: New pre-print - 'Signed Graph Learning: Algorithms and Theory'. May 2025: Attended GSP Workshop 2025 to present 'Identifying Adversarial Attacks in Crowdsourcing via Dense Subgraph Detection'. May 2025: Paper accepted for presentation at ICASSP 2025 - 'Identifying Adversarial Attacks in Crowdsourcing via Dense Subgraph Detection'.
Research Experience
- Currently a post-doctoral researcher at the Department of Electrical and Computer Engineering at Michigan State University, under the supervision of Profs. Panos Traganitis and Selin Aviyente. Previously, he was a post-doctoral researcher at the University of Michigan in the Garmire Group, where he applied graph-based learning to spatial omics.
Education
- PhD from the Department of Electrical and Computer Engineering at Michigan State University, supervised by Prof. Selin Aviyente. During his PhD, he worked on community detection and topology inference for different graph types.
Background
- Research interests include graphs, graph signal processing, and graph-based learning. Current research focuses on graph topology inference, adversary detection in graphs, and its application to crowdsourcing problems.
Miscellany
- The website is built with Jekyll using the al-folio theme and hosted on GitHub Pages. Photos are from Unsplash.
Co-authors