Pedram Bakhtiarifard

Pedram Bakhtiarifard is an Instructor and PhD Fellow at the Department of Computer Science, University of Copenhagen, specializing in the Machine Learning section.

His research interests include:

• Machine Learning
• Neural Architecture Search
• Energy Efficiency in AI
• Sustainable Artificial Intelligence
• Green Computing

Pedram's research focuses on developing energy-efficient approaches to neural architecture search, addressing the growing concern about the environmental impact of AI model development. His work bridges theoretical machine learning with practical applications aimed at reducing the carbon footprint of AI systems through innovations like EC-NAS (Energy Consumption Aware Neural Architecture Search).

His publications demonstrate a clear trend toward sustainable AI development, with research spanning from foundational benchmarking (2022 preprint) to conference presentations (ICASSP 2024) and forward-looking policy considerations (2025 work on climate awareness). These contributions position him at the intersection of technical machine learning research and environmental responsibility.

Pedram actively contributes to teaching activities within the Department of Computer Science, supporting the department's educational mission in machine learning and related fields.