ダン ナム カイン

DANG Nam Khanh

Associate Professor

Affiliation
Department of Computer Science and Engineering/Division of Computer Science
Title
Associate Professor
E-Mail
khanh@u-aizu.ac.jp
Web site
https://u-aizu.ac.jp/~khanh/

Education

Courses - Undergraduate
Courses - Graduate

Research

Specialization
- Neuromorphic Computing
- Machine Learning
- Fault-tolerance
Educational Background, Biography
Educational Background
- Ph.D. in Computer Science and Engineering, The University of Aizu, Japan, 2017
- M.Sc. in Information Systems & Technology, University of Paris-XI, France, 2014
- B.Sc. in Electronics & Telecommunications, VNU University of Engineering and Technology, Vietnam, 2011

Work Experience
- Associate Professor, The University of Aizu, 2022 April - now.
- Assistant Professor, VNU University of Engineering and Technology, Vietnam National University, Hanoi, 2017 November - 2022 March.
- Visiting Researcher, The University of Aizu, 2020 November - 2021 March.
- Visiting Researcher, The University of Aizu, 2019 May - 2019 September.
- Researcher, SISLAB, Vietnam National University, Hanoi, 2011-2014.
- RTL Designer, Dolphin Vietnam Inc., 2010-2011.
Current Research Theme
Key Topic
Neuromorphic Computing, Faul-tolerance, VLSI, 3D Integrated Circuits
Affiliated Academic Society

Others

Hobbies
School days' Dream
Current Dream
Motto
Favorite Books
Messages for Students
Publications other than one's areas of specialization

Dissertation and Published Works

Selected Publications:

- Duy-Anh Nguyen, Xuan-Tu Tran, Khanh N. Dang, and Francesca Iacopi, “A Low-Power, High-Accuracy with Fully On-Chip Ternary Weight Hardware Architecture for Deep Spiking Neural Networks”, Microprocessors and Microsystems, Elsevier, Volume 90, pp. 104458, 2022. [DOI: 10.1016/j.micpro.2022.104458].

- Khanh N. Dang, Nguyen Anh Vu Doan, Abderazek Ben Abdallah “MigSpike: A Migration Based Algorithm and Architecture for Scalable Robust Neuromorphic Systems”, IEEE Transactions on Emerging Topics in Computing (TETC), [DOI: 10.1109/TETC.2021.3136028].

- Abderazek Ben Abdallah, Khanh N. Dang, “Towards Robust Cognitive 3D Brain-inspired Cross-paradigm System”, Frontiers in Neuroscience, Frontiers, Volume 15, pp. 795, 2021. [DOI: 10.3389/fnins.2021.690208].

- Khanh N. Dang, Akram Ben Ahmed, Abderazek Ben Abdallah, Xuan-Tu Tran, “HotCluster: A thermal-aware defect recovery method for Through-Silicon-Vias Towards Reliable 3-D ICs systems”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE, Volume 41, No. 4, pp. 799-812, April 2022. [DOI: 10.1109/TCAD.2021.3069370].

- Khanh N. Dang, Akram Ben Ahmed, Ben Abdallah Abderrazak and Xuan-Tu Tran, “TSV-OCT: A Scalable Online Multiple-TSV Defects Localization for Real-Time 3-D-IC Systems”, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE, Volume 28, Issue 3, pp. 672 - 685, 2020. [DOI: 10.1109/TVLSI.2019.2948878].

- Khanh N. Dang, Michael Meyer, Akram Ben Ahmed, Abderazek Ben Abdallah, and Xuan-Tu Tran, “A non-blocking non-degrading multi-defect link test method for 3D-Networks-on-Chip”, IEEE Access, IEEE, Volume 8, pp. 59571 - 59589, 2020. [DOI: 10.1109/ACCESS.2020.2982836].

- Khanh N. Dang, Akram Ben Ahmed, Yuichi Okuyama, Abderazek Ben Abdallah, “Scalable design methodology and online algorithm for TSV-cluster defects recovery in highly reliable 3D-NoC systems”, IEEE Transactions on Emerging Topics in Computing (TETC), IEEE, Volume 8, Issue 3, pp. 577-590, 2020. [DOI: 10.1109/TETC.2017.2762407].

- Khanh N. Dang, Akram Ben Ahmed, Xuan-Tu Tran, Yuichi Okuyama, Abderazek Ben Abdallah, “A Comprehensive Reliability Assessment of Fault-Resilient Network-on-Chip Using Analytical Model”, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE, Volume 25, Issue 11, pp. 3099-3112, 2017. [DOI: 10.1109/TVLSI.2017.2736004].

https://u-aizu.ac.jp/~khanh/#publications