Tai Dinh
The Kyoto College of Graduate Studies for Informatics
Research Interests
data mining, machine learning, data science
Tai Dinh
The Kyoto College of Graduate Studies for Informatics
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.
Call for Papers
TAIMMA 2027 will be held at The Kyoto College of Graduate Studies for Informatics (KCGI) in Kyoto, Japan, from March 27 to 29, 2027.
2 paper accepted at ICDECT 2026 (Springer).
1 paper accepted at Journal of Planning Education and Research (Q1, Sage).
1 paper accepted at IMCOM 2027 (IEEE).
2 papers accepted at ICSCDS 2026 (IEEE).
1 paper accepted at PAUL 2026 (Springer).
3 papers accepted at ICOIICS 2026 (IEEE).
1 paper accepted at IEEE Access (Q1, IEEE).
1 book review accepted at Journal of Mixed Methods Research (Q1, Sage).
1 paper accepted at Frontiers in Sleep (Q2, Frontiers).
1 paper accepted at MEDI-2026 (Springer).
3 papers accepted at I-SMAC 2026 (IEEE).
4 papers accepted at ICMEET-2026 (Springer).
3 papers accepted at CMSS 2026 (IEEE).
1 abstract paper accepted at ESRN 2026 (Wiley).
1 paper accepted at QUANCOM 2026 (Springer).
2 papers accepted at IUKM-2026 (Springer).
3 papers accepted at ICICDS-2026 (IEEE).
2 papers accepted at FICTA-2026 (Springer).
1 paper accepted at ICIST 2026 (Springer).
1 paper accepted at INFUS 2026 (Springer).
2 papers accepted at 2AI 2026 (Springer).
1 paper accepted at Sleep and Breathing (Q1, Springer).
1 paper published at Software Impacts (Q3, Elsevier).
1 paper published at Pattern Recognition (Q1, Elsevier).
5 papers accepted at SCI-2026 (Springer).
I have become a Section editor of Discover Informatics (Springer), editor of Discover Data (Springer) and Discover Computing (Q2, Springer).
1 paper accepted at MEDI 2025 (Springer).
1 paper accepted at Engineering Applications of Artificial Intelligence (Elsevier, Q1).
1 paper accepted at Data Science and Management (Elsevier, Q1).
1 paper accepted at BMJ Open (BMJ, Q1).
1 paper accepted at ADMA 2025 (Springer).
I've been an Associate Professor at KCGI since April 2025.
1 paper accepted at Expert Systems With Applications (Elsevier, Q1).
1 paper accepted at European Journal of Pediatrics (Springer, Q1)
1 paper accepted at KSE 2024
1 paper accepted at Communications Materials (a Nature journal).
1 paper accepted at MEDI 2023.
1 paper accepted at IEEE Access.
1 paper accepted at Nippon Applied Informatics Society (NAIS).
[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.
1 paper accepted at at IHIET-AI 2022.
1 paper accepted at IHSI 2022.
I have become an Editor for the Journal of Computer Science (Q4, Scopus).
1 paper accepted at Knowledge-Based Systems (IF:8.038).
Our chapters have been published in the book Periodic Pattern Mining (Springer).
Our posters have been presented at Pacifichem 2021.
1 paper accepted at Information Sciences (IF:6.975).
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.
1 paper accepted at International Journal of Knowledge and Systems Science (IJKSS).
1 paper accepted at Applied Intelligence.
I have passed the final defense for my PhD dissertation. Officially, I will obtain the degree on March 25th.
1 paper accepted at Logic Journal of the IGPL.
I have passed my PhD preliminary defense.
I have received the JAIST President Award 2018.
1 paper accepted at KSS 2019.
1 paper accepted at Journal of Ambient Intelligence and Humanized Computing.
1 paper accepted at PRICAI 2018.
1 paper accepted at MDAI 2018.
1 paper accepted at Applied Intelligence.
1 paper accepted at Expert Systems with Applications.
1 paper accepted at International Journal of Approximate Reasoning.
1 paper accepted at ACIIDS 2017.
I joined HUYNH Lab, JAIST for my PhD study.
1 paper accepted at SoICT 2015.
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.
IEEE Access (2026), Franklin Open (Elsevier) (2026), Healthcare and Rehabilitation (Elsevier) (2026), Information Processing & Management (Elsevier) (2026), 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, 2026), Engineering Applications of Artificial Intelligence (Elsevier) (2022, 2023, 2024, 2025, 2026), 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, 2026)
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
Exploratory Data Analysis and Visualization (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026, Fall-2026)
Theories of Data Mining (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026, Fall-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, Fall-2026)
Qualitative Data: Analysis and Transformation (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026, Fall-2026)
Fundamentals of Database Technology (Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024, Spring-2025, Fall-2025, Spring-2026, Fall-2026)
Data Analysis (Spring-2025, Fall-2025)
Software Engineering (Spring-2022, Spring-2023)
Fundamentals of Computer Programming (Spring-2022)
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