Dr. Yuki Tanaka
Reader in Green Computing & Principal Investigator, Efficient Systems Group
Dolor Sit Institute of Advanced Studies
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.
Research Institutions
35+
Peer-reviewed publications
4+
Patents
260+
Google Scholar citations
10+
Years of academic research
Research Mission
Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua ut enim ad minim veniam. Quantifying and reducing the carbon footprint of AI inference through hardware-software co-design at the edge and beyond.
SDG Alignment
About
Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Dr. Tanaka's research tackles one of the central challenges in AI deployment: quantifying and minimising the carbon cost of inference at scale. Her work spans from silicon-level optimisation to system-level carbon accounting frameworks.
Dr. Tanaka leads the Efficient Systems Group at the Dolor Sit Institute of Advanced Studies, where she and her team develop practical tools and benchmarks for measuring and reducing AI inference energy consumption. Her group has produced several widely-used open-source tools for carbon-aware AI scheduling, and she is a regular contributor to international standards bodies working on sustainable computing metrics.
Her group's focus on making carbon measurement practical and accessible — not just theoretically sound — aligns directly with the Green Software Foundation's mission to give practitioners the tools and standards they need to build genuinely greener software.
Key Areas of
Expertise
Hardware-Software Co-Design for Green AI
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Carbon Footprint of AI Inference
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Edge Computing & Embedded AI
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Where This Work Connects
Areas for Collaboration
How Tanaka's work directly connects to GSF initiatives
Carbon-Aware AI Inference at Scale
Carbon measurement · AI inference efficiency
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Edge AI and Low-Power Deployment
Edge computing · Embedded AI deployment
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Open Benchmarks for Green AI
Benchmarking · Green AI standards
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Affiliations & Leadership
- Reader in Green Computing, Dolor Sit Institute of Advanced Studies
- Principal Investigator, Efficient Systems Group
- Visiting Researcher, National Institute for Computing Research
- Member, IEEE Computer Society Technical Committee
Experience & Background
- 10+ years of research in hardware-software co-design
- 5+ years of collaboration with leading semiconductor companies
- Best Paper Award, International Conference on Green Computing, 2024
- Principal Investigator on 2 national research council grants
Further Reading