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Green Software Foundation

Academic Partnerships

Academic Members

Distinguished academics advancing research in green software, energy-efficient AI, and sustainable computing. These researchers bring academic rigor and innovation to GSF's standards and initiatives.

Building Bridges Between Academia and Industry

The Green Software Foundation collaborates with leading academic institutions and researchers to advance the science of green software. Our academic partners contribute cutting-edge research, validation of our standards, and expertise in emerging areas like energy-efficient AI and neuromorphic computing.

Meet Our Academic Members

Academic Member

Prof. Dr. Cristian Axenie

Professor of Artificial Intelligence & Neuromorphic Computing Solutions Group Lead

Dr. Axenie's entire research programme is built around making AI systems radically more energy-efficient. He is one of the few academics in Europe whose technical output maps directly onto the problem that SCI for AI is trying to solve at the measurement and standards layer.

Academic Member

Dr. Elena Vasquez

Associate Professor of Sustainable Computing & Director of Green Systems Lab

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Dr. Vasquez's research focuses on sustainable computing architectures and the environmental impact of large-scale AI deployments.

Academic Member

Dr. Yuki Tanaka

Reader in Green Computing & Principal Investigator, Efficient Systems Group

Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Dr. Tanaka specialises in hardware-software co-design for energy-efficient AI systems, with a particular focus on edge computing and the carbon footprint of inference workloads.

Academic Member

Prof. Marcus Okafor

Professor of AI Ethics & Sustainable Systems · Chair, Digital Futures Institute

Consectetur adipiscing elit, sed do eiusmod tempor incididunt. Prof. Okafor's research sits at the intersection of AI ethics, environmental sustainability, and digital governance — with particular focus on equitable and resource-efficient AI systems.