Scholar
Meghdad Kurmanji
Google Scholar ID: 7t9HbecAAAAJ
Postdoctoral Researcher - University of Cambridge
Citations & Impact
Citations
584
H-index
10
i10-index
12
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - November 2025: One paper accepted at AAAI's Alignment Track
- - September 2025: Two papers accepted at Neurips '25
- - January 2025: One paper accepted at ICLR '25
- - September 2024: One paper accepted at NeurIPS '24
- - November 2023: One paper accepted at SIGMOD '24
- - September 2023: One paper accepted at NeurIPS '23
- - January 2022: One paper accepted at CIDR '21
- - December 2021: One paper accepted at ACM SIGMOD '21
- - December 2022: One paper accepted at ACM SIGMOD '23
- - Awards:
- - April 2025: Doctoral thesis awarded the SIGMOD Jim Gray Doctoral Dissertation Honorable Mention
- - Projects:
- - June 2024: New Preprint: Machine Unlearning Competition Post Analysis
- - September 2023: Neurips23 Machine Unlearning Competition live on Kaggle
- - Grants:
- - February 2025: Proposal accepted in SPRIN-D's challenge, winning a grant worth €530k
Research Experience
- - Postdoctoral Fellow at the University of Cambridge, CaMLSys lab, July 2024 - Present
- - PhD Student at the University of Warwick, October 2020 - April 2024
Education
- - PhD: University of Warwick, Advisor: Prof. Peter Triantafillou, Research Area: Learned Database systems
- - Time: October 2020 - April 2024
Background
- - Research Interests: Machine unlearning, privacy and trustworthy AI
- - Specialization: Computer vision, language models, tabular data, both centralized and federated learning environments
- - Bio: Postdoctoral Fellow at the University of Cambridge, working with Prof. Nic Lane, focusing on machine unlearning and its applications across multiple domains.
Co-authors