1. Optimal Conformal Prediction under Epistemic Uncertainty (Under review)
Co-authors: Alireza Javanmardi, Soroush H. Zargarbashi, Aleksandar Bojchevski, Willem Waegeman, Eyke Hüllermeier
2. Conformal Prediction Sets for Graph Neural Networks (ICLR 2024)
Co-authors: Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski
3. Robust Conformal Prediction with a Single Binary Certificate (Under review)
Co-authors: Soroush H. Zargarbashi, Aleksandar Bojchevski
4. One Sample is Enough to make Conformal Prediction Robust (Under review)
Co-authors: Soroush H. Zargarbashi, Sadegh Akhondzadeh, Aleksandar Bojchevski
Research Experience
Research Assistant at CISPA Helmholtz Center for Information Security
Time: 2022-Ongoing
Work: Research on Trustworthy AI, Uncertainty Quantification, Conformal Prediction, Adversarial Robustness of machine learning models.
Research Intern at Apple
Time: May-Oct 2025
Work: Researching on speech-based translation systems.
Education
PhD Student: University of Cologne
Time: 2023-Ongoing
Supervised By: Prof. Dr. Aleksandar Bojchevski
Background
Research Interests: Uncertainty Quantification, Robustness of Machine Learning Models, Trustworthy AI. Works extensively with conformal prediction methods to provide reliable uncertainty estimates. Has hands-on experience in fine-tuning large language models for speech translation.