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Tai Dinh

Associate Professor

AToMM Laboratory

Data Science Concentration

Graduate School of Applied Information Technology

The Kyoto College of Graduate Studies for Informatics

Research Interests

data mining, machine learning, data science

Short Bio

I've been a faculty member at The Kyoto College of Graduate Studies for Informatics (KCGI) since 2022. My research interests lie in data science, where I work on various topics such as pattern mining, (un)supervised learning, geoinformatics, healthcare, and sentiment analysis. Before KCGI, I was a postdoctoral researcher from 2020-2022 at the International Excellent Core for Materials Informatics at JAIST. I hold a PhD in Knowledge Science, specializing in Data Mining, from JAIST in 2020.

Latest News

I have become a Section Editor of Discover Informatics (Springer).
Two papers from my students have been accepted at IUKM-2026 (Springer).
I have joined the Editorial Board of Discover Data (Springer).
Three papers from my students have been accepted at ICICDS-2026 (IEEE).
Two papers from my students have been accepted at FICTA-2026 (Springer).
A paper from my students has been accepted at ICIST 2026 (32nd International Conference on Information and Software Technologies) (Springer).
A paper from my student has been accepted at INFUS 2026 (Springer).
Two papers from my students have been accepted at 2AI 2026 (Springer).
I have joined the Editorial Board of Discover Computing (Q2, Springer).
Our paper has been accepted at Sleep and Breathing.
Our paper has been published at Software Impacts.
Our paper has been published at Pattern Recognition.
Five papers from my students have been accepted at SCI-2026 (Springer).

2025 News

A paper from my student has been accepted at MEDI 2025 (Springer).
Our paper has been accepted for publication in Engineering Applications of Artificial Intelligence (Elsevier, Q1).
Our paper has been accepted for publication in Data Science and Management (Elsevier, Q1).
Our paper has been accepted for publication in BMJ Open (BMJ, Q1).
A paper from my student has been accepted at ADMA 2025 (Springer).
I've been an Associate Professor at KCGI since April 2025.
Our paper has been accepted for publication in Expert Systems With Applications (Elsevier, Q1).

2024 News

Our paper has been accepted by the European Journal of Pediatrics (Springer, Q1)
Our paper has been accepted by KSE 2024

2023 News

Our paper has been published in Communications Materials (a Nature journal).
Our paper has been accepted by MEDI 2023.
Our paper has been published in IEEE Access.
Our paper has been published in Nippon Applied Informatics Society (NAIS) Journal, Vol. 17.

2022 News

I was pointed as a Young Editorial Board Member of Data Science and Management (Q2, Scopus, Elsevier).
[CfP] The 10th Big Data Analytics Conference (BDA) Dec. 19-22, 2022, Hyderabad, India.
[CfP] Special Session: Industry Applications of Business Analytics and Operations Research (IABA&OR) from KSE 2022.
[CfP] Special Session: Next Generation of Affective Computing (NGAC) from KSE 2022.
[CfP] Special Issue: New Techniques of Machine Learning and Deep Learning in Text Classification from Applied Sciences journal.
I have been an Assistant Professor at The Kyoto College of Graduate Studies for Informatics (KCGI) since April 1st.
Our paper has been accepted at IHIET-AI 2022.
Our paper has been accepted at IHSI 2022.
I have become an Editor for the Journal of Computer Science (Q4, Scopus).
Our paper has been published in Knowledge-Based Systems (IF:8.038).
Our chapters have been published in the book Periodic Pattern Mining (Springer).

2021 News

Our posters have been presented at Pacifichem 2021.
Our paper has been published in Information Sciences (IF:6.975).

2020 News

I have been a postdoctoral researcher at DAM Lab, School of Knowledge Science, JAIST since April 1st.
I received the Outstanding Performance Award for my PhD study.
Our paper has been published in International Journal of Knowledge and Systems Science (IJKSS).
Our paper has been published in Applied Intelligence.
I have passed the final defense for my PhD dissertation. Officially, I will obtain the degree on March 25th.
Our paper has been published in Logic Journal of the IGPL.

2019 News

I have passed my PhD preliminary defense.
I have received the JAIST President Award 2018.
Our paper has been accepted at KSS 2019.
Our paper has been published in Journal of Ambient Intelligence and Humanized Computing.

2018 News

Our paper has been accepted at PRICAI 2018.
Our paper has been accepted at MDAI 2018.
Our paper has been published in Applied Intelligence.
Our paper has been published in Expert Systems with Applications.
Our paper has been published in International Journal of Approximate Reasoning.

2017 News

Our paper has been accepted at ACIIDS 2017.
I joined HUYNH Lab, JAIST for my PhD study.

2016 News

Our paper has been accepted at IUKM 2016.
Our paper has been accepted at KSE 2016.

2015 News

Our paper has been accepted at SoICT 2015.

Selected Publications (Google scholar, DBLP)

Categorical data clustering: 25 years beyond K-modes

Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh

Expert Systems With Applications, page 126608, 2025.

Artificial intelligence in pediatric allergy research

Daniil Lisik, Rani Basna, Tai Dinh, Christian Hennig, Syed Ahmar Shah, Göran Wennergren, Emma Goksör, Bright I. Nwaru

European Journal of Pediatrics, volume 184, no. 1, pages 1-20, 2025.

Clustering mixed numeric and categorical data with missing values

Duy-Tai Dinh, Van-Nam Huynh, and Songsak Sriboonchitta

Information Sciences, volume 571, pages 418-442, 2021.

An efficient algorithm for mining periodic high-utility sequential patterns

Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, and Van-Nam Huynh

Applied Intelligence, volume 48, pages 4694-4714, 2018.

k-PbC: An improved cluster center initialization for categorical data clustering

Duy-Tai Dinh, Van-Nam Huynh

Applied Intelligence, volume 50, pages 2610–2632, 2020.

An efficient algorithm for hiding high utility sequential patterns

Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, and Philippe Fournier-Viger

International Journal of Approximate Reasoning, volume 95, pages 77-92, 2018.

A pure array structure and parallel strategy for high-utility sequential pattern mining

Bac Le, Ut Huynh, and Duy-Tai Dinh

Expert Systems with Applications, volume 104, pages 107-120, 2018.

A method for k-means-like clustering of categorical data

Thu-Hien Thi Nguyen, Duy-Tai Dinh, Songsak Sriboonchitta, and Van-Nam Huynh

Journal of Ambient Intelligence and Humanized Computing, pages 1-11, 2019.

Multi-core parallel algorithms for hiding high-utility sequential patterns

Ut Huynh, Bac Le, Duy-Tai Dinh, Hamido Fujita

Knowledge-based systems, pages 107793, 2021.

Mining compact high utility sequential patterns

Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong

NAIS, volume 17, pages 45-57, 2023.

Mining Insights from Esports Game Reviews with an Aspect-Based Sentiment Analysis Framework

Yang Yu, Duy-Tai Dinh, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh

IEEE Access, 2023.

Machine-learning-revealed reaction statistics via 3D spectroimaging for copper sulfidation of adhesive layers in rubber/brass composite

Hirosuke Matsui, Yuta Muramoto, Takashi Kakubo, Naoya Amino, Tomoya Uruga, Minh-Quyet Ha, Duy-Tai Dinh, Hieu-Chi Dam, and Mizuki Tada

Communications Materials (Nature), 2023 (Accepted)

Estimating the optimal number of clusters in categorical data clustering by silhouette coefficient

Duy-Tai Dinh, Tsutomu Fujinami, and Van-Nam Huynh,

KSS 2019, pages 1-17, Springer, 2019.

Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm

Yang Yu, Duy-Tai Dinh, Fangyu Yu and Van-Nam Huynh,

MEDI 2023, pages 102-115, Springer, 2023.

Academic Activities

1. Journal review:

Array (Elsevier) (2026), Discover Analytics (Springer) (2026), International Journal of Data Science and Analytics (Springer) (2026), Quality & Quantity (2026), Football Studies (Elsevier) (2026), International Journal of Computational Intelligence Systems (2025), Entertainment Computing (Elsevier) (2025), Advances in Data Analysis and Classification (Springer) (2024), The Visual Computer (Springer) (2024), Data & Knowledge Engineering (Elsevier) (2024), Discover Applied Sciences (Springer) (2024), IEEE Transactions on Neural Networks and Learning Systems (IEEE) (2024), Journal of Big Data (Springer) (2024), World Wide Web (Springer) (2024), Neurocomputing (Elsevier) (2024, 2025), Discover Data (Springer) (2024), Smart Agricultural Technology (Elsevier) (2024), International Journal of Machine Learning and Cybernetics (Springer) (2024), Scientific Reports (Nature) (2023, 2026), Information Sciences (Elsevier) (2023, 2024, 2025), Heliyon (Cell Press) (2023), Big Data Research (Elsevier) (2023), Information Fusion (Elsevier) (2023), Pattern Recognition (Elsevier) (2021, 2022, 2023, 2024, 2025, 2026), Expert Systems with Applications (Elsevier) (2021, 2022, 2023, 2024, 2025), Engineering Applications of Artificial Intelligence (Elsevier) (2022, 2023, 2024, 2025), Data Science and Management (Elsevier) (2023, 2024), Journal of Innovation & Knowledge (Elsevier) (2022), Egyptian Informatics Journal (Elsevier) (2022), Ain Shams Engineering (Elsevier) (2021, 2022, 2024, 2025), Knowledge-Based Systems (Elsevier) (2021, 2023), International Journal of Approximate Reasoning (Elsevier) (2019, 2025), Applied Intelligence (Springer) (2022, 2023), Ambient Intelligence and Humanized Computing (Springer) (2019, 2020, 2021, 2022, 2023), Information Systems Frontiers (Springer) (2023), Journal of Statistical Theory and Practice (Springer) (2023), Annals of Operations Research (Springer) (2018), Knowledge and Information Systems (2018, 2025), Measurement Science Review (Slovak Academy of Sciences, 2022), MIC ICT Research journal (2019), Advances in Computing Communications and Informatics (Bentham) (2021), Recent Patents on Engineering (Bentham) (2021), MDPI (2021, 2022, 2023), PeerJ (2018)

2. Conference review:

IUKM 2026, INFUZ 2026, 2AI 2026, IEA/AIE 2026, SOMET 2026, FJCAI 2026 , IEA/AIE 2025, SOMET 2025, KSE 2024, ICCDS 2024, IEA/AIE 2024, UDML 2024, INCITEST 2023, IEA/AIE 2023, FSDM 2023, FUZZ-IEEE 2023, CECNet 2022, IEEE WCCI 2022, IEA/AIE 2022, FSDM 2022, ICONIP 2022, Additional review for PAKDD 2020, Additional review for PRICAI 2019, Additional review for IUKM 2019, Additional review for PRICAI 2018, Additional review for PAKDD 2018

3. Conference chair/PC member/Guest editor:

Session chair of SCI-2026, FICTA2026.
PC member of QUANCOM 2026, IUKM 2026, 2AI, KDIR 2025, DiCES-N 2025, PM4B @ PAKDD 2025, IEA/AIE 2025, KDIR 2024, DATA 2024, IEA/AIE 2024, KSE 2023, MEDI2023, MEDI2022, Next Generation of Affective Computing (NGAC), Industry Applications of Business Analytics and Operations Research (IABA&OR), Industry Applications of Business Analytics (IABA)
Publicity Chair for the BDA 2022, organized by International Institute of Information Technology, Hyderabad (IIIT Hyderabad), India
Guest Editor for Applied Sciences (MDPI) for this Special Issue

Teaching

Exploratory Data Analysis and Visualization (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026)
Theories of Data Mining (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026)
Object Oriented System Design (Fall 2021, Spring 2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026)
Qualitative Data: Analysis and Transformation (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026)
Fundamentals of Database Technology (Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026)
Data Analysis (Spring-2025, Fall-2025)
Software Engineering (Spring-2022, Spring-2023)
Fundamentals of Computer Programming (Spring-2022)

Contact

Official Address: The Kyoto College of Graduate Studies for Informatics (京都情報大学院大学), 7 Tanaka Monzencho, Sakyo Ward, Kyoto, 606-8225.
E-mail: t_dinh[at]kcg[dot]ac[dot]jp, it08duytai[at]gmail[dot]com

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