HPC · AI · Data-driven science

Nguyen Viet Cuong

I build and run high-performance computing and AI systems. Founder and CEO of Intelligent Integration (INT2), the Vietnamese R&D arm of HPC SYSTEMS Inc., and a lecturer on big data analytics and HPC at VNU-UET.

INT2 HPC SYSTEMS Inc. VNU-UET
Portrait of Nguyễn Việt Cường

Hi!

I am Nguyễn Việt Cường, a Vietnamese. In Vietnam people call me by the given name Cường, since Nguyễn is the most popular family name here, carried by roughly 38% of the population.

For Japanese readers who wonder about the meaning: my name is written 阮 越 強 in Kanji: 阮 for Nguyễn, 越 for Việt, 強 for Cường.

I started out at VNU, working on text and data mining. In January 2008 I left for JAIST, first the Ph.D. course in Information Processing, then postdoctoral research, and in April 2012 I moved to Tokyo to join HPC SYSTEMS Inc., where parallel file systems, high-performance computing and materials informatics became my working ground. Since April 2019 I have been back in Hà Nội: the company is my main work, and I keep collaborating closely with the academic side, VNU-UET and the VNU institutes, because that is where our R&D gets its rigor.

Research

What I work on

Research & development

High-performance computing

Parallel file systems, high-performance data analysis, and the HPC-AI stack, from cluster design to the tooling researchers actually use.

Research & development

Text & data mining

Where I started: text segmentation, classification, semi-supervised learning, lately Vietnamese large language model evaluation.

Research & development

Information fusion

Combining evidence from multiple, uncertain and disagreeing sources – evidence theory, similarity measures, uncertainty modelling – into decisions you can explain.

Research & development

Materials informatics

Data-driven materials discovery: descriptor design, interpretable models and recommender systems for alloys and molecular systems.

Engineering

Edge & distributed systems

Edge computing, distributed systems and fully automated utilities. I have a weakness for things that run themselves.

Path

Hà Nội ← Tokyo ← Ishikawa ← Hà Nội

  1. Apr 2025

    Began collaborating with the VNU Information Technology Institute on R&D projects in HPC-AI, edge computing and semiconductors (RISC-V) for industry, academia and government.

  2. Nov 2023

    Began collaborating with the Institute for Artificial Intelligence (VNU-UET) on HPC-AI research and education.

  3. Nov 2021

    Started teaching graduate courses on big data processing and high-performance computing at VNU-UET.

  4. Apr 2019

    Came back to Việt Nam to develop the Vietnamese market and build an overseas R&D center for HPC SYSTEMS Inc. Intelligent Integration Co., Ltd. (INT2, pronounced int-square) was established in May 2020.

  5. Apr 2016

    Returned to JAIST to establish a joint research programme on materials informatics and advanced data analytics between HPC SYSTEMS Inc. and Dam Laboratory at the JAIST Industrial Collaboration Promotion Center.

  6. Apr 2012

    Moved to Tokyo to work for HPC SYSTEMS Inc.: parallel file systems, high-performance computing, high-performance data analysis and materials informatics.

  7. Apr 2011

    Postdoctoral researcher at JAIST.

  8. Jan 2008

    Left VNU for Japan to follow the Ph.D. course in Information Processing at the Japan Advanced Institute of Science and Technology (JAIST).

Teaching

VNU-UET, since 2021

I teach graduate courses on big data processing and high-performance computing at VNU-UET, open to students across the university.

INT 6149 Big Data Processing
INT 6166 Parallel Processing

Looking for students

I supervise master's and doctoral students working on HPC systems, HPC-AI, big data analytics, information fusion, edge computing and materials informatics, topics that usually come with access to real machines and real industrial problems through INT2 and our institute partners.

If that sounds like your direction, write to me with a short note on what you want to work on and a CV.

Projects & collaborations

Intelligent Integration (INT2), CEO

I founded INT2 in May 2020 as the overseas R&D center of HPC SYSTEMS Inc. and lead it as CEO: HPC and AI infrastructure, data platforms and automation for the Vietnamese market.

Dam Laboratory, JAIST

My longest-running collaboration: I have worked with the lab since around 2009, while at JAIST, and it became a formal partnership with HPC SYSTEMS Inc. in 2016. Materials informatics and advanced data analytics, still producing papers.

Institute for Artificial Intelligence, VNU-UET

Since November 2023: joint research and education on HPC-AI.

VNU Information Technology Institute

Since April 2025: R&D projects on HPC-AI, edge computing and semiconductors (RISC-V) for industry, academia and government. The collaboration produced the Nexus Laboratory (Information · Knowledge · Systems), a joint lab of INT2 and the VNU Institute of Information Technology that carries research through to running systems.

Publications

{{ pubCount }} papers and preprints, newest first. Full list on Google Scholar

  1. 2026

    Beyond interpolation: integration of data and AI-extracted knowledge for high-entropy alloy discovery

    Minh-Quyet Ha, Dinh-Khiet Le, Viet-Cuong Nguyen, Hiori Kino, Stefano Curtarolo, Hieu-Chi Dam

    Digital Discovery 5(3), 1079–1097 DOI arXiv

  2. 2025

    PRADA-QA: Product QA with Multi-Agent Planning and Dynamic Knowledge Retrieval

    Huu-Dung Nguyen, Tri-Dung Do, Viet Cuong Nguyen, Oanh Thi Tran, Duc-Trong Le

    SOICT 2025, CCIS 2914, pp. 287–302, Springer DOI Code

  3. 2024

    Adapting Large Language Models to Vietnamese Law: Pretrained LLM Refinement vs Retrieval Augmented Generation

    Nguyen P. Nguyen, Thang V.Q. Le, Anh-Cuong Le, Viet-Ha Nguyen, Viet-Cuong Nguyen

    KSE 2024, pp. 1–6 DOI

    Enhancing Reading Comprehension of Vietnamese LLMs with Synthetic Data

    Thang V.Q. Le, Nguyen P. Nguyen, Trong-Chi Duong, Anh-Cuong Le, Viet-Cuong Nguyen, Viet-Ha Nguyen

    KSE 2024, pp. 327–332 DOI

    ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models

    Trong-Hieu Nguyen, Anh-Cuong Le, Viet-Cuong Nguyen

    Preprint arXiv [cs.CL] 2404.11086 arXiv

  4. 2023

    Towards understanding structure–property relations in materials with interpretable deep learning

    Tien-Sinh Vu, Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Yukihiro Abe, Truyen Tran, Huan Tran, Hiori Kino, Takashi Miyake, Koji Tsuda, Hieu-Chi Dam

    npj Comput. Mater. 9, 215 DOI

    Evidence-based data mining method to reveal similarities between materials based on physical mechanisms

    Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Hiori Kino, Yasunobu Ando, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, Hieu-Chi Dam

    J. Appl. Phys. 133, 053904 DOI

  5. 2022

    Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam

    Ha-Linh Quach, Thai Quang Pham, Ngoc-Anh Hoang, Dinh Cong Phung, Viet-Cuong Nguyen, Son Hong Le, Thanh Cong Le, Dang Hai Le, Anh Duc Dang, Duong Nhu Tran, Nghia Duy Ngu, Florian Vogt, Cong-Khanh Nguyen

    Healthc. Inform. Res. 28(4), 307–318 DOI

    Pairwise interactions for potential energy surfaces and atomic forces using deep neural networks

    Van-Quyen Nguyen, Viet-Cuong Nguyen, Tien-Cuong Nguyen, Nguyen-Xuan-Vu Nguyen, Tien-Lam Pham

    Comput. Mater. Sci. 209, 111379 DOI arXiv

    Using 'infodemics' to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July–September 2020

    Ha-Linh Quach, Thai Quang Pham, Ngoc-Anh Hoang, Dinh Cong Phung, Viet-Cuong Nguyen, Son Hong Le, Thanh Cong Le, Thu Minh Thi Bui, Dang Hai Le, Anh Duc Dang, Duong Nhu Tran, Nghia Duy Ngu, Florian Vogt, Cong-Khanh Nguyen

    PLOS ONE 17(4), e0266299 DOI

  6. 2021

    Evidence-based recommender system for high-entropy alloys

    Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, Hieu-Chi Dam

    Nat. Comput. Sci. 1, 470–478 DOI

    1. 2019

      Ensemble learning reveals dissimilarity between rare-earth transition-metal binary alloys with respect to the Curie temperature

      Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam

      J. Phys.: Mater. 2, 034009 DOI

    2. 2018

      Committee machine that votes for similarity between materials

      Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Tuan-Dung Ho, Truyen Tran, Keisuke Takahashi, Hieu-Chi Dam

      IUCrJ 5(6), 830–840 DOI arXiv

      Important descriptors and descriptor groups of Curie temperatures of rare-earth transition-metal binary alloys

      Hieu Chi Dam, Viet Cuong Nguyen, Tien Lam Pham, Anh Tuan Nguyen, Kiyoyuki Terakura, Takashi Miyake, Hiori Kino

      J. Phys. Soc. Jpn. 87(11), 113801 DOI arXiv

      A regression-based model evaluation of the Curie temperature of transition-metal rare-earth compounds

      Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Anh-Tuan Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam

      J. Phys.: Conf. Ser. 1290, 012009 DOI arXiv

    3. 2016

      Ligand-Driven Exchange Coupling in Graphene-Based Magnetic Materials

      Nguyen Van Thanh, Nguyen Anh Tuan, Phạm Thi Tuan Anh, Nguyen Viet Cuong, Dam Hieu Chi

      Mater. Trans. 57(10), 1680–1684 DOI

    4. 2014

      Partially Clustered Linear Regression towards Improvement of Clustering Performance

      Takafumi Kawasaki, Viet Cuong Nguyen, Le Minh Nguyen, Tu Bao Ho, Hieu Chi Dam

      ACIS 2014, 110–113 · Viet Nam

      Data mining for materials design: A computational study of single molecule magnet

      Hieu Chi Dam, Tien Lam Pham, Tu Bao Ho, Anh Tuan Nguyen, Viet Cuong Nguyen

      J. Chem. Phys. 140, 044101 DOI

    5. 2011

      Learning to Generate a Table-of-Contents with Supportive Knowledge

      Viet Cuong Nguyen, Le Minh Nguyen, Akira Shimazu

      IEICE Trans. Inf. & Syst. E94-D(3), 423–431 DOI

      Improving Text Segmentation with Non-systematic Semantic Relation

      Viet Cuong Nguyen, Le Minh Nguyen, Akira Shimazu

      CICLing 2011, LNCS 6608, 304–315 · Springer Best software award DOI

    6. 2010

      A Semi-supervised Learning Method for Vietnamese Part-of-Speech Tagging

      Le Minh Nguyen, Bach Ngo Xuan, Cuong Nguyen Viet, Minh Pham Quang Nhat, Akira Shimazu

      KSE 2010, 141–146 · Viet Nam DOI

    7. 2009

      A Semi-supervised Approach for Generating a Table-of-Contents

      Viet Cuong Nguyen, Le Minh Nguyen, Akira Shimazu

      RANLP 2009, 312–317 · Bulgaria

    8. 2006

      A Maximum Entropy Model for Text Classification

      Nguyen Viet Cuong, Nguyen Thi Thuy Linh, Phan Xuan Hieu, Ha Quang Thuy

      IRC 2006, 143–149 · South Korea

    9. 2005

      Maximum Entropy Approach to Vietnamese Web Page Classification and Filtering

      Nguyen Viet Cuong, Nguyen Thi Thuy Linh, Ha Quang Thuy, Phan Xuan Hieu

      VNICT 2005, 174–189 · Viet Nam In Vietnamese

Get in touch

Happy to hear about research collaborations, HPC-AI projects, and from students looking for a supervisor.

mrcuongnv ends with gmail.com nv.cuong ends with int2.vn cuongnv ends with vnu.edu.vn