Salar Shakibhamedan
Scholar

Salar Shakibhamedan

Google Scholar ID: LMgdVRgAAAAJ
TU Wien (Vienna University of Technology)
Machine LearningDeep LearningEdge AIEfficient Deep LearningLLMs
Citations & Impact
All-time
Citations
90
 
H-index
5
 
i10-index
2
 
Publications
13
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including 'FairTabGen: Unifying Counterfactual and Causal Fairness in Synthetic Tabular Data Generation' (2025, TechXiv preprint) and 'Approximation Strategies for Vision Models on Edge Devices: An Accuracy-Efficiency Trade-off' (2024, TechXiv submitted paper).
Research Experience
  • Currently a visiting researcher at SciTech Lab, University of California, Irvine (UCI), working on enhancing LLM usability in the healthcare domain.
Education
  • Ph.D. candidate at TU Wien (Vienna University of Technology), supervisor information not provided.
Background
  • Research Interests: Deep learning, optimization and generalization, efficient AI; Specialization: Edge AI and efficient deep learning; Summary: Focused on optimizing AI models for performance and scalability in resource-constrained environments.