Tai Dinh
Data Driven Mixed Methods Laboratory
Data Science Concentration
Graduate School of Applied Information Technology
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.
I've been an Associate Professor at KCGI since April 2025.
Our paper has been accepted by Expert Systems With Applications (Elsevier, Q1).
Our paper has been accepted by the European Journal of Pediatrics (Springer, Q1)
Our paper has been accepted by KSE 2024
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.
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).
Our posters have been presented at Pacifichem 2021.
Our paper has been published in 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.
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.
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.
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.
Our paper has been accepted at ACIIDS 2017.
I joined HUYNH Lab, JAIST for my PhD study.
Our paper has been 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.
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)
Information Sciences (Elsevier) (2023, 2024)
Heliyon (Cell Press) (2023)
Big Data Research (Elsevier) (2023)
Information Fusion (Elsevier) (2023)
Pattern Recognition (Elsevier) (2021, 2022, 2023, 2024)
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)
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)
SOMET 2025
KSE 2024
IEA/AIE 2024
IEA/AIE 2023
FUZZ-IEEE 2023
CECNet 2022
IEEE WCCI 2022
IEA/AIE 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
PC member of KDIR 2025, The 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
PC member of DiCES-N 2025
PC member of PM4B @ PAKDD 2025
PC member of IEA/AIE 2025, The 38th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, July 1-4, 2025, Kytakyushu, Japan
PC member of KDIR 2024, The 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
PC member of DATA 2024, The 13th International Conference on Data Science, Technology and Applications (DATA), July 9th-11th, 2024, Dijon, France
PC member of IEA/AIE 2024, The 37th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, July 10th-12th, 2024, Hradec Kralove, Czech Republic
PC member of KSE 2023, The 15th IEEE International Conference on Knowledge and Systems Engineering (KSE 2023). October 18th-20th, 2023, Ha Noi, Vietnam
Track chair for special session: Industry Applications of Business Analytics (IABA), KSE 2023
PC member of MEDI2023, 12th International Conference on Model and Data Engineering, November 2nd-4th, 2023, Sousse, Tunisia
Publicity Chair for the BDA 2022, organized by International Institute of Information Technology, Hyderabad (IIIT Hyderabad), India
PC member of MEDI2022, 11th International Conference on Model and Data Engineering, November 21th-24th, 2022, Cairo, Egypt
PC member for special session: Next Generation of Affective Computing (NGAC), KSE 2022
PC member for special session: Industry Applications of Business Analytics and Operations Research (IABA&OR), KSE 2022
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)
Theories of Data Mining (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024)
Object Oriented System Design (Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024)
Qualitative Data: Analysis and Transformation (Spring-2022, Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024)
Fundamentals of Database Technology (Fall-2022, Spring-2023, Fall-2023, Spring-2024, Fall-2024)
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