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.
HPC · AI · Data-driven science
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.
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.
What I work on
Parallel file systems, high-performance data analysis, and the HPC-AI stack, from cluster design to the tooling researchers actually use.
Where I started: text segmentation, classification, semi-supervised learning, lately Vietnamese large language model evaluation.
Combining evidence from multiple, uncertain and disagreeing sources – evidence theory, similarity measures, uncertainty modelling – into decisions you can explain.
Data-driven materials discovery: descriptor design, interpretable models and recommender systems for alloys and molecular systems.
Edge computing, distributed systems and fully automated utilities. I have a weakness for things that run themselves.
Hà Nội ← Tokyo ← Ishikawa ← Hà Nội
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.
Nov 2023
Began collaborating with the Institute for Artificial Intelligence (VNU-UET) on HPC-AI research and education.
Nov 2021
Started teaching graduate courses on big data processing and high-performance computing at VNU-UET.
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.
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.
Apr 2012
Moved to Tokyo to work for HPC SYSTEMS Inc.: parallel file systems, high-performance computing, high-performance data analysis and materials informatics.
Apr 2011
Postdoctoral researcher at JAIST.
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).
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.
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.
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.
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.
Since November 2023: joint research and education on HPC-AI.
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.
{{ pubCount }} papers and preprints, newest first. Full list on Google Scholar
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
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
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
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
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
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
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
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
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
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
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
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
A Semi-supervised Approach for Generating a Table-of-Contents
Viet Cuong Nguyen, Le Minh Nguyen, Akira Shimazu
RANLP 2009, 312–317 · Bulgaria
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
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
Happy to hear about research collaborations, HPC-AI projects, and from students looking for a supervisor.