Scholar
Pedram Bakhtiarifard
Google Scholar ID: wnOiOHoAAAAJ
PhD Student
Citations & Impact
Citations
25
H-index
2
i10-index
1
Publications
2
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Key Publications:
- - EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search (ICASSP 2024, Seoul, Korea)
- - Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race) (arXiv preprint, 2025)
Research Experience
- Working at SAINTS Lab, leading the development of Carbontracker, recognized by the European Commission's Innovation Radar, which makes the energy and carbon footprint of training visible. Previously, worked as a software engineer at Danske Bank, co-leading the end-to-end design and deployment of their large-scale mortgage refinancing system.
Education
- PhD Fellow in Machine Learning at the University of Copenhagen (since 2022), advisor information not provided.
Background
- PhD Fellow in Machine Learning at the University of Copenhagen, focusing on continual learning, algorithmic complexity, and efficient ML. Aiming to build scalable AI systems that reduce compute and energy use while staying reliable and practical.
Miscellany
- Outside the lab, speaks and writes about AI's rising compute demands and sustainable approaches, sharing these perspectives at Thoughts for Future, D3A Conference, TV2 News, and DR Radio.
