Contact

Khanh N. Dang
Division of Computer Engineering
Department of Computer Science and Engineering
University of Aizu,
〒965-8580 Tsuruga, Ikki-Machi,
Aizu-Wakamatsu, Fukushima, Japan
Email: khanh@u-aizu.ac.jp
(Note: Email is by far the best way to reach me.)
Tel.: +81-242-37-2721 (int. 3362)
Office: 204-I @ Research Quadrangles
Lab: 204-E&F @ Research Quadrangles
We aim to respond within 5 business days.

Spin-off & Technology Transfer
The E3Computing Group promotes the transition of advanced computing research into practical applications through startups and industry partnerships. Our expertise includes AI hardware, neuromorphic computing, 3D ICs, and energy-efficient systems. We are interested in collaborating with industry partners, investors, and entrepreneurs to bring innovative technologies to market. Please contact us to explore collaboration and commercialization opportunities.

Do your postdoc here
The E3Computing Group seeks postdoctoral researchers in computer architecture, neuromorphic computing, AI hardware, and 3D integrated circuits. Our work focuses on energy-efficient and reliable computing across all system levels. We provide a collaborative environment with research in edge AI, stacked memory, and fault-resilient systems. Candidates are expected to lead independent research and mentor students. If you are interested, please send a cover letter, CV, and contact information for three references.

Train here as a M.Sc./Ph.D. student
We welcome highly motivated students interested in pursuing research in energy-efficient computing, AI systems, and advanced hardware design. Prospective students should have a strong background in electrical engineering, computer engineering, computer science, or related fields. Experience in areas such as digital design, computer architecture, embedded systems, or machine learning is highly desirable. Prospective students are encouraged to visit this page for application details.

Visiting Opportunities
We also welcome visiting researchers interested in short-term collaborations and joint research initiatives. We welcome expressions of interest from candidates with relevant expertise in hardware design, embedded systems, or AI acceleration. Please feel free to send your CV for visiting opportunities.