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The E3Computing Group is led by Khanh N. Dang, a faculty member at the University of Aizu, Japan. Our research advances the science and engineering of Efficient, Elegant, and Environmental (E3) Computing - a unified vision for designing computing systems that deliver high performance with minimal energy consumption and environmental impact.

Our group explores the intersection of computer architecture, VLSI systems, neuromorphic engineering, and sustainable AI. We believe that the next generation of computing must not only be faster and smarter, but also more energy-efficient, scalable, and responsible.

We have authored numerous high-impact publications, holds multiple Japanese patents, and granted multiple competitive funds.

Our Three Pillars

  • Efficient

    Maximizing performance per watt through intelligent hardware, optimized architectures, and energy-aware system design.

  • Elegant

    Creating clean, principled, and scalable designs that are robust, maintainable, and built to endure.

  • Environmental

    Enabling sustainable computing by minimizing energy use, reducing carbon footprint, and promoting responsible innovation.

Research Focus

Hardware and Systems

Our research spans the full computing stack, from devices to systems, with a focus on architectures that are efficient in execution, elegant in design, and sustainable in deployment.

Core research areas include:

  • Computer Architecture
  • VLSI Design and Integrated Circuits
  • Neuromorphic Computing
  • Edge AI and Embedded Intelligence
  • 3D Integrated Systems
  • Reliable and Fault-Tolerant Computing
  • Sustainable and Carbon-Efficient Computing Infrastructure

Interested in our research? Explore our ongoing projects and publications on the Research page.

Applications and Impact

We translate fundamental advances in low-power computing into real-world applications, including:

  • Ultra-low-power AI at the edge
  • Neuromorphic systems for intelligent sensing
  • Energy-efficient accelerators for machine learning
  • Sustainable large-scale AI infrastructure
  • Reliable computing platforms for emerging applications

Our goal is to bridge the gap between foundational research and impactful deployment.

Interested in technology transfer or startup opportunities? Explore our ongoing projects on the Research page and our granted/filed patents on the Patents page.

Meet the Team

Our group brings together researchers, students, and collaborators who share a common passion for building the future of sustainable computing.

Learn more about our members on the People page.

Join Us

We are always interested in connecting with talented students, researchers, and collaborators who are passionate about efficient and sustainable computing.

  • Prospective students and postdoctoral researchers are warmly encouraged to apply. Funded positions are avaible with the current projects.
  • We welcome academic collaborations and industrial partnerships.
  • We are also open to technology transfer and startup opportunities.

Find out how to get involved on our Contact page.