教員詳細
FACULTY
Research and Industry-Academia Collaboration
研究?産学連携
ダン ナム カイン DANG Nam Khanh
准教授
教育
- 担当科目 - 大学
- PL03: JAVA Programming I (Ex.), University of Aizu, Undergraduate, Q1.
FU05: Computer Architecture (Ex.), University of Aizu, Undergraduate, Q1.
SE08: Introduction of Big Data Analytics (Ex.), University of Aizu, Undergraduate, Q3.
FU06: Operating Systems (Ex.), University of Aizu, Undergraduate, Q4.
- 担当科目 - 大学院
- SYA14: Neuromorphic Computing, University of Aizu, Postgraduate, Q2.
研究
- 研究分野
-
制御及びシステム工学
電子デバイス及び電子機器
計算機システム
高性能計算
計算科学
知能情報学
- Neuromorphic Computing
- Machine Learning
- Fault-tolerance
- Generative AI
- 略歴
- 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.
- 現在の研究課題
- - Neuromorphic engineering
- Generative AI
- 研究内容キーワード
- Neuromorphic Computing, Faul-tolerance, VLSI, 3D Integrated Circuits
- 所属学会
パーソナルデータ
- 趣味
- Football, Chess,Analog Photography
- 子供時代の夢
- Be a person that can change the world!
- これからの目標
- Be a good teacher :)
- 座右の銘
- Fundamentals Are Everything :)
- 愛読書
- The Fountainhead - Ayn Rand
- 学生へのメッセージ
- I strongly believe in learning fundamentals before doing anything advanced. Please spend some time to read, study, and practice basic topics like mathematics, English and programing. I will certainly help you in a long career ahead. You need to build a strong foundation, not a house of card. You can be slower than your peers for now, but can move forward way futher with good fundanmentals understanding. Life is not sprint, it's a marathon.
主な研究
- 脳にヒントを得たアルゴリズムとシステム
-
脳にヒントを得た コンピューティングは、スパイキング ニューロン ネットワーク モデルを使用して、従来の人工ニューラル ネットワークよりも電力/エネルギー効率の高い方法で機械学習の問題を解決します。私たちは、以前に開発したフォールト トレラントな 3 次元オンチップ相互接続テクノロジを搭載した、適応型低電力スパイキング ニューロモルフィック システムと SoC を研究しています。特に、さまざまなネットワーク パラメータ (スパイクの重み、ルーティング、隠れ層、トポロジなど) の再構成を可能にする適応型構成方法、フォールト トレランス、熱を考慮したマッピング方法、オンライン学習アルゴリズムなど、革新的なアルゴリズムとニューロモルフィック システムを調査しています。対象アプリケーションには、擬人化ロボットやエッジ コンピューティングが含まれます。
...read more
主な著書?論文
Patent:
- A. Ben Abdallah, Khanh N. Dang, An on-chip 3D system in which TSV groups containing multiple TSVs connect layers together [複数のＴＳＶを含むＴＳＶグループが層間を接続するオンチップの３次元システム], 特許第7488989号, Japan patent, [Certificate], [Google Patent].
- A. Ben Abdallah, Khanh N. Dang, Masayuki Hisada, TSV Error Tolerant Router Device for 3D Network On Chip, 特許第7239099号, Japan patent,
Selected Publication:
- Ngo-Doanh Nguyen, Akram Ben Ahmed, Abderazek Ben Abdallah, Khanh N. Dang, “Power-aware Neuromorphic Architecture with Partial Voltage Scaling 3D Stacking Synaptic Memory“, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), accepted, 2023.
- Ngo-Doanh Nguyen, Xuan-Tu Tran, Abderazek Ben Abdallah, Khanh N. Dang, “An In-situ Dynamic Quantization with 3D Stacking Synaptic Memory for Power-aware Neuromorphic Architecture”, IEEE Access, vol. 11, pp. 82377-82389, 2023.
- 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].
- 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, 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].
More details: https://u-aizu.ac.jp/~khanh/