Short Bio

I am a faculty member at the Graduate School of Applied Information Technology, The Kyoto College of Graduate Studies for Informatics, where I hold the title of Assistant Professor. As a lecturer, I impart knowledge to Master's students in the fields of Information Technology and Data Science and provide guidance on their Master's projects. My research interests lie in the area of Data Science, where I have delved into various topics such as pattern mining, privacy-preserving data mining, unsupervised learning, and materials informatics. Prior to my appointment at KCGI, I was a postdoctoral researcher at the International Excellent Core for Materials Informatics at Japan Advanced Institute of Science and Technology. I hold a PhD in Knowledge Science, with a specialization in Data Mining, from JAIST. During JAIST, I was the recipient of the Doctoral Research Fellow award and received funding support from an AFOSR/AOARD-sponsored project. 

Selected Publications (Google scholar, DBLP, Research Map) 

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. Mining compact high utility sequential patterns 

Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong

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

9. 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.

10. 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) 

11. 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.

12. 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 (Accepted)

Academic Activities

1. Journals review:

• 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)

• Expert Systems with Applications (Elsevier) (2021, 2022, 2023, 2024)

• Engineering Applications of Artificial Intelligence (Elsevier) (2022, 2023, 2024)

• Data Science and Management (Elsevier) (2023)

• Journal of Innovation & Knowledge (Elsevier) (2022)

• Egyptian Informatics Journal  (Elsevier) (2022)

• Ain Shams Engineering (Elsevier) (2021, 2022)

• Knowledge-Based Systems (Elsevier) (2021, 2023)

• International Journal of Approximate Reasoning (Elsevier) (2019)

• 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)

• 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. Conferences review:

• 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. Conferences chair/PC member/Guest editor:

• 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

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_dinhATkcg.ac.jp, it08duytaiATgmail.com.