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.